TRANSCUTANEOUS ANALYTE SENSOR
First Claim
1. A sensor system for measuring an analyte concentration in a host, the sensor system comprising:
- a sensor comprising at least one electrode; and
sensor electronics configured to measure the analyte concentration in the host when the sensor is implanted therein, wherein the sensor electronics comprise a data sampling portion in data communication with the at least one electrode, wherein the data sampling portion comprises an analog portion configured to measure the current flowing at the at least one electrode and to convert the current measurement to digital values representative of the current, wherein the digital values are acquired at a predetermined time interval, and wherein the predetermined time interval is programmed to be programmable after the sensor electronics have been manufactured.
2 Assignments
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Accused Products

Abstract
The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Therasense Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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DexCom Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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DexCom Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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Abbott Diabetes Care Incorporated
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28 Claims
-
1. A sensor system for measuring an analyte concentration in a host, the sensor system comprising:
-
a sensor comprising at least one electrode; and sensor electronics configured to measure the analyte concentration in the host when the sensor is implanted therein, wherein the sensor electronics comprise a data sampling portion in data communication with the at least one electrode, wherein the data sampling portion comprises an analog portion configured to measure the current flowing at the at least one electrode and to convert the current measurement to digital values representative of the current, wherein the digital values are acquired at a predetermined time interval, and wherein the predetermined time interval is programmed to be programmable after the sensor electronics have been manufactured. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
-
-
28. A continuous glucose monitoring system, comprising:
- a sensor configured to detect a current flow associated with one or more glucose levels;
sensor electronics operatively coupled to the sensor, the sensor electronics configured to receive the one or more glucose levels and to transmit signals corresponding to the one or more glucose levels; and
a receiver in operative communication with the sensor electronics configured to receive transmitted signals corresponding to the detected one or more glucose levels, wherein the sensor electronics are configured to detect a current drop to zero in the working electrode associated with removal of a sensor from the host.
- a sensor configured to detect a current flow associated with one or more glucose levels;
1 Specification
This application is a continuation of U.S. application Ser. No. 11/077,714 filed Mar. 10, 2005, which claims the benefit of U.S. Provisional Application No. 60/587,787 filed Jul. 13, 2004; U.S. Provisional Application No. 60/587,800 filed Jul. 13, 2004; U.S. Provisional Application No. 60/614,683 filed Sep. 30, 2004; and U.S. Provisional Application No. 60/614,764 filed Sep. 30, 2004; each of which is incorporated by reference herein in its entirety, and each of which is hereby made a part of this specification.
The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.
Diabetes mellitus is a disorder in which the pancreas cannot create sufficient insulin (Type I or insulin dependent) and/or in which insulin is not effective (Type 2 or non-insulin dependent). In the diabetic state, the victim suffers from high blood sugar, which can cause an array of physiological derangements associated with the deterioration of small blood vessels, for example, kidney failure, skin ulcers, or bleeding into the vitreous of the eye. A hypoglycemic reaction (low blood sugar) can be induced by an inadvertent overdose of insulin, or after a normal dose of insulin or glucose-lowering agent accompanied by extraordinary exercise or insufficient food intake.
Conventionally, a person with diabetes carries a self-monitoring blood glucose (SMBG) monitor, which typically requires uncomfortable finger pricking methods. Due to the lack of comfort and convenience, a person with diabetes normally only measures his or her glucose levels two to four times per day. Unfortunately, such time intervals are so far spread apart that the person with diabetes likely finds out too late of a hyperglycemic or hypoglycemic condition, sometimes incurring dangerous side effects. It is not only unlikely that a person with diabetes will take a timely SMBG value, it is also likely that he or she will not know if his or her blood glucose value is going up (higher) or down (lower) based on conventional method. This inhibits the ability to make educated insulin therapy decisions.
In a first aspect, an analyte measuring system is provided, the system comprising: a mounting unit adapted for mounting on the skin of a host; an electronics unit detachably connectable to the mounting unit; a sensor for measuring a level of the analyte comprising an in vivo portion for insertion through the skin of a host and an ex vivo portion connected to the mounting unit, wherein the sensor is operably connected to the electronics unit when the electronics unit is detachably connected to the mounting unit; and a communication station for receiving and processing analyte measurements received from the electronics unit.
In an embodiment of the first aspect, the communication station comprises a hand-held receiver.
In an embodiment of the first aspect, the electronics unit is designed to be used with a plurality of sensors.
In a second aspect, a transcutaneous analyte sensor system is provided comprising: an electrode configured to measure a level of glucose in a host; a membrane disposed over the electrode and configured to limit the transport of glucose to the electrode; and a sensor electronics unit operably connected to the electrode and configured to measure a current flow produced by the electrode, wherein the sensor electronics unit is configured to measure the current flow in at least a picoAmp range.
In an embodiment of the second aspect, the sensor electronics unit is configured to directly measure the level of current produced by the electrode.
In an embodiment of the second aspect, the sensor further comprises an analog-to-digital converter configured to translate the current draw to a digital signal.
In an embodiment of the second aspect, the electrode comprises an exposed electroactive working electrode with a surface area between about 0.000084 cm2 and about 0.016 cm2.
In an embodiment of the second aspect, the membrane comprises a resistance domain configured with a permeability ratio of at least about 50:1 analyte to co-analyte concentration.
In an embodiment of the second aspect, the permeability ratio is at least about 200:1.
In a third aspect, a sensor system for measuring an analyte concentration in a host is provided, the sensor comprising: a sensor comprising at least one electrode; a sensor electronics unit configured to measure the analyte concentration in the host when the sensor is implanted therein.
In an embodiment of the third aspect, the sensor electronics comprise a data sampling portion in data communication with the at least one electrode, wherein the data sampling portion comprises an analog portion configured to measure the current flowing at the at least one electrode and to convert the current measurement to digital values representative of the current.
In an embodiment of the third aspect, the digital values are acquired at a predetermined time interval.
In an embodiment of the third aspect, the predetermined time interval is programmable within the sensor electronics.
In an embodiment of the third aspect, the predetermined time interval is programmable at an interval between about 2 and 512 seconds.
In an embodiment of the third aspect, the sensor electronics comprise a transmitter portion for transmitting a signal indicating a level of the analyte in the host.
In an embodiment of the third aspect, the transmitter portion is configured to transmit at a predetermined transmission interval.
In an embodiment of the third aspect, the predetermined transmission interval is programmable in the sensor electronics.
In an embodiment of the third aspect, the predetermined transmission interval is programmable at an interval between about 2 seconds and 10 minutes.
In an embodiment of the third aspect, the predetermined transmission interval is programmable at an interval between about 30 seconds and 5 minutes.
In an embodiment of the third aspect, the sensor electronics comprise a transmitter portion for transmitting a signal indicating a level of the analyte in the host at a programmable transmission interval, wherein the programmable transmission interval is a multiple of the predetermined time interval.
The following description and examples illustrate some exemplary embodiments of the disclosed invention in detail. Those of skill in the art will recognize that there are numerous variations and modifications of this invention that are encompassed by its scope. Accordingly, the description of a certain exemplary embodiment should not be deemed to limit the scope of the present invention.
In order to facilitate an understanding of the preferred embodiments, a number of terms are defined below.
The term “analyte” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to a substance or chemical constituent in a biological fluid (for example, blood, interstitial fluid, cerebral spinal fluid, lymph fluid or urine) that can be analyzed. Analytes can include naturally occurring substances, artificial substances, metabolites, and/or reaction products. In some embodiments, the analyte for measurement by the sensing regions, devices, and methods is glucose. However, other analytes are contemplated as well, including but not limited to a carboxyprothrombin; acylcarnitine; adenine phosphoribosyl transferase; adenosine deaminase; albumin; alpha-fetoprotein; amino acid profiles (arginine (Krebs cycle), histidine/urocanic acid, homocysteine, phenylalanine/tyrosine, tryptophan); andrenostenedione; antipyrine; arabinitol enantiomers; arginase; benzoylecgonine (cocaine); biotinidase; biopterin; c-reactive protein; carnitine; carnosinase; CD4; ceruloplasmin; chenodeoxycholic acid; chloroquine; cholesterol; cholinesterase; conjugated 1-B hydroxy-cholic acid; cortisol; creatine kinase; creatine kinase MM isoenzyme; cyclosporin A; d-penicillamine; de-ethylchloroquine; dehydroepiandrosterone sulfate; DNA (acetylator polymorphism, alcohol dehydrogenase, alpha 1-antitrypsin, cystic fibrosis, Duchenne/Becker muscular dystrophy, glucose-6-phosphate dehydrogenase, hemoglobin A, hemoglobin S, hemoglobin C, hemoglobin D, hemoglobin E, hemoglobin F, D-Punjab, beta-thalassemia, hepatitis B virus, HCMV, HIV-1, HTLV-1, Leber hereditary optic neuropathy, MCAD, RNA, PKU, Plasmodium vivax, sexual differentiation, 21-deoxycortisol); desbutylhalofantrine; dihydropteridine reductase; diptheria/tetanus antitoxin; erythrocyte arginase; erythrocyte protoporphyrin; esterase D; fatty acids/acylglycines; free B-human chorionic gonadotropin; free erythrocyte porphyrin; free thyroxine (FT4); free tri-iodothyronine (FT3); fumarylacetoacetase; galactose/gal-1-phosphate; galactose-1-phosphate uridyltransferase; gentamicin; glucose-6-phosphate dehydrogenase; glutathione; glutathione perioxidase; glycocholic acid; glycosylated hemoglobin; halofantrine; hemoglobin variants; hexosaminidase A; human erythrocyte carbonic anhydrase I; 17-alpha-hydroxyprogesterone; hypoxanthine phosphoribosyl transferase; immunoreactive trypsin; lactate; lead; lipoproteins ((a), B/A-1, β); lysozyme; mefloquine; netilmicin; phenobarbitone; phenytoin; phytanic/pristanic acid; progesterone; prolactin; prolidase; purine nucleoside phosphorylase; quinine; reverse tri-iodothyronine (rT3); selenium; serum pancreatic lipase; sissomicin; somatomedin C; specific antibodies (adenovirus, anti-nuclear antibody, anti-zeta antibody, arbovirus, Aujeszky'"'"'s disease virus, dengue virus, Dracunculus medinensis, Echinococcus granulosus, Entamoeba histolytica, enterovirus, Giardia duodenalisa, Helicobacter pylori, hepatitis B virus, herpes virus, HIV-1, IgE (atopic disease), influenza virus, Leishmania donovani, leptospira, measles/mumps/rubella, Mycobacterium leprae, Mycoplasma pneumoniae, Myoglobin, Onchocerca volvulus, parainfluenza virus, Plasmodium falciparum, poliovirus, Pseudomonas aeruginosa, respiratory syncytial virus, rickettsia (scrub typhus), Schistosoma mansoni, Toxoplasma gondii, Trepenoma pallidium, Trypanosoma cruzi/rangeli, vesicular stomatis virus, Wuchereria bancrofti, yellow fever virus); specific antigens (hepatitis B virus, HIV-1); succinylacetone; sulfadoxine; theophylline; thyrotropin (TSH); thyroxine (T4); thyroxine-binding globulin; trace elements; transferrin; UDP-galactose-4-epimerase; urea; uroporphyrinogen I synthase; vitamin A; white blood cells; and zinc protoporphyrin. Salts, sugar, protein, fat, vitamins and hormones naturally occurring in blood or interstitial fluids can also constitute analytes in certain embodiments. The analyte can be naturally present in the biological fluid, for example, a metabolic product, a hormone, an antigen, an antibody, and the like. Alternatively, the analyte can be introduced into the body, for example, a contrast agent for imaging, a radioisotope, a chemical agent, a fluorocarbon-based synthetic blood, or a drug or pharmaceutical composition, including but not limited to insulin; ethanol; cannabis (marijuana, tetrahydrocannabinol, hashish); inhalants (nitrous oxide, amyl nitrite, butyl nitrite, chlorohydrocarbons, hydrocarbons); cocaine (crack cocaine); stimulants (amphetamines, methamphetamines, Ritalin, Cylert, Preludin, Didrex, PreState, Voranil, Sandrex, Plegine); depressants (barbituates, methaqualone, tranquilizers such as Valium, Librium, Miltown, Serax, Equanil, Tranxene); hallucinogens (phencyclidine, lysergic acid, mescaline, peyote, psilocybin); narcotics (heroin, codeine, morphine, opium, meperidine, Percocet, Percodan, Tussionex, Fentanyl, Darvon, Talwin, Lomotil); designer drugs (analogs of fentanyl, meperidine, amphetamines, methamphetamines, and phencyclidine, for example, Ecstasy); anabolic steroids; and nicotine. The metabolic products of drugs and pharmaceutical compositions are also contemplated analytes. Analytes such as neurochemicals and other chemicals generated within the body can also be analyzed, such as, for example, ascorbic acid, uric acid, dopamine, noradrenaline, 3-methoxytyramine (3MT), 3,4-dihydroxyphenylacetic acid (DOPAC), homovanillic acid (HVA), 5-hydroxytryptamine (5HT), and 5-hydroxyindoleacetic acid (FHIAA).
The term “host” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to mammals, particularly humans.
The term “exit-site” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to the area where a medical device (for example, a sensor and/or needle) exits from the host'"'"'s body.
The phrase “continuous (or continual) analyte sensing” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to the period in which monitoring of analyte concentration is continuously, continually, and or intermittently (regularly or irregularly) performed, for example, about every 5 to 10 minutes.
The term “electrochemically reactive surface” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to the surface of an electrode where an electrochemical reaction takes place. For example, a working electrode measures hydrogen peroxide produced by the enzyme-catalyzed reaction of the analyte detected, which reacts to create an electric current. Glucose analyte can be detected utilizing glucose oxidase, which produces H2O2 as a byproduct. H2O2 reacts with the surface of the working electrode, producing two protons (2H−), two electrons (2e−) and one molecule of oxygen (O2), which produces the electronic current being detected.
The term “electronic connection” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to any electronic connection known to those in the art that can be utilized to interface the sensing region electrodes with the electronic circuitry of a device, such as mechanical (for example, pin and socket) or soldered electronic connections.
The term “interferant” and “interferants,” as used herein, are broad terms and are used in their ordinary sense, including, without limitation, to refer to species that interfere with the measurement of an analyte of interest in a sensor to produce a signal that does not accurately represent the analyte measurement. In one example of an electrochemical sensor, interferants are compounds with oxidation potentials that overlap with the analyte to be measured.
The term “sensing region” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to the region of a monitoring device responsible for the detection of a particular analyte. The sensing region generally comprises a non-conductive body, a working electrode (anode), a reference electrode (optional), and/or a counter electrode (cathode) passing through and secured within the body forming electrochemically reactive surfaces on the body and an electronic connective means at another location on the body, and a multi-domain membrane affixed to the body and covering the electrochemically reactive surface.
The term “high oxygen solubility domain” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to a domain composed of a material that has higher oxygen solubility than aqueous media such that it concentrates oxygen from the biological fluid surrounding the membrane system. The domain can act as an oxygen reservoir during times of minimal oxygen need and has the capacity to provide, on demand, a higher oxygen gradient to facilitate oxygen transport across the membrane. Thus, the ability of the high oxygen solubility domain to supply a higher flux of oxygen to critical domains when needed can improve overall sensor function.
The term “domain” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to a region of the membrane system that can be a layer, a uniform or non-uniform gradient (for example, an anisotropic region of a membrane), or a portion of a membrane.
The phrase “distal to” as used herein is a broad term and is used in its ordinary sense, including, without limitation, the spatial relationship between various elements in comparison to a particular point of reference. In general, the term indicates an element is located relatively far from the reference point than another element.
The term “proximal to” as used herein is a broad term and is used in its ordinary sense, including, without limitation, the spatial relationship between various elements in comparison to a particular point of reference. In general, the term indicates an element is located relatively near to the reference point than another element.
The terms “in vivo portion” and “distal portion” as used herein are broad terms and are used in their ordinary sense, including, without limitation, to refer to the portion of the device (for example, a sensor) adapted for insertion into and/or existence within a living body of a host.
The terms “ex vivo portion” and “proximal portion” as used herein are broad terms and are used in their ordinary sense, including, without limitation, to refer to the portion of the device (for example, a sensor) adapted to remain and/or exist outside of a living body of a host.
The terms “raw data stream” and “data stream,” as used herein, are broad terms and are used in their ordinary sense, including, without limitation, to refer to an analog or digital signal from the analyte sensor directly related to the measured analyte. For example, the raw data stream is digital data in “counts” converted by an A/D converter from an analog signal (for example, voltage or amps) representative of an analyte concentration. The terms broadly encompass a plurality of time spaced data points from a substantially continuous analyte sensor, each of which comprises individual measurements taken at time intervals ranging from fractions of a second up to, for example, 1, 2, or 5 minutes or longer.
The term “count,” as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to a unit of measurement of a digital signal. For example, a raw data stream measured in counts is directly related to a voltage (for example, converted by an A/D converter), which is directly related to current from the working electrode.
The term “physiologically feasible,” as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to one or more physiological parameters obtained from continuous studies of glucose data in humans and/or animals. For example, a maximal sustained rate of change of glucose in humans of about 4 to 6 mg/dL/min and a maximum acceleration of the rate of change of about 0.1 to 0.2 mg/dL/min/min are deemed physiologically feasible limits. Values outside of these limits are considered non-physiological and are likely a result of, e.g. signal error.
The term “ischemia,” as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to local and temporary deficiency of blood supply due to obstruction of circulation to a part (for example, a sensor). Ischemia can be caused, for example, by mechanical obstruction (for example, arterial narrowing or disruption) of the blood supply.
The term “matched data pairs”, as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to reference data (for example, one or more reference analyte data points) matched with substantially time corresponding sensor data (for example, one or more sensor data points).
The term “Clarke Error Grid”, as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to an error grid analysis, for example, an error grid analysis used to evaluate the clinical significance of the difference between a reference glucose value and a sensor generated glucose value, taking into account 1) the value of the reference glucose measurement, 2) the value of the sensor glucose measurement, 3) the relative difference between the two values, and 4) the clinical significance of this difference. See Clarke et al., “Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose”, Diabetes Care, Volume 10, Number 5, September-October 1987, the contents of which are hereby incorporated by reference herein in their entirety and are hereby made a part of this specification.
The term “Consensus Error Grid,” as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to an error grid analysis that assigns a specific level of clinical risk to any possible error between two time corresponding measurements, e.g. glucose measurements. The Consensus Error Grid is divided into zones signifying the degree of risk posed by the deviation. See Parkes et al., “A New Consensus Error Grid to Evaluate the Clinical Significance of Inaccuracies in the Measurement of Blood Glucose”, Diabetes Care, Volume 23, Number 8, August 2000, the contents of which are hereby incorporated by reference herein in their entirety and are hereby made a part of this specification.
The term “clinical acceptability”, as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to determination of the risk of an inaccuracy to a patient. Clinical acceptability considers a deviation between time corresponding analyte measurements (for example, data from a glucose sensor and data from a reference glucose monitor) and the risk (for example, to the decision making of a person with diabetes) associated with that deviation based on the analyte value indicated by the sensor and/or reference data. An example of clinical acceptability can be 85% of a given set of measured analyte values within the “A” and “B” region of a standard Clarke Error Grid when the sensor measurements are compared to a standard reference measurement.
The term “sensor” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to the component or region of a device by which an analyte can be quantified.
The term “needle,” as used herein is a broad term and is used in its ordinary sense, including, without limitation, to refer to a slender hollow instrument for introducing material into or removing material from the body.
The terms “operably connected” and “operably linked” as used herein are broad terms and are used in their ordinary sense, including, without limitation, to refer to one or more components linked to one or more other components. The terms can refer to a mechanical connection, an electrical connection, or a connection that allows transmission of signals between the components. For example, one or more electrodes can be used to detect the amount of analyte in a sample and to convert that information into a signal; the signal can then be transmitted to a circuit. In such an example, the electrode is “operably linked” to the electronic circuitry.
The term “baseline” as used herein is a broad term and is used in its ordinary sense, including, without limitation, is the component of an analyte sensor signal that is not related to the analyte concentration. In one example of a glucose sensor, the baseline is composed substantially of signal contribution due to factors other than glucose (for example, interfering species, non-reaction-related hydrogen peroxide, or other electroactive species with an oxidation potential that overlaps with hydrogen peroxide). In some embodiments wherein a calibration is defined by solving for the equationy y=mx+b, the value of b represents the baseline of the signal.
The terms “sensitivity” and “slope,” as used herein are broad terms and are used in their ordinary sense, including, without limitation, to refer to an amount of electrical current produced by a predetermined amount (unit) of the measured analyte. For example, in one preferred embodiment, a sensor has a sensitivity (or slope) of about 3.5 to about 7.5 picoAmps of current for every 1 mg/dL of glucose analyte.
The term “membrane system,” as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to a permeable or semi-permeable membrane that can be comprised of two or more domains and is typically constructed of materials of a few microns thickness or more, which is permeable to oxygen and is optionally permeable to, e.g. glucose or another analyte. In one example, the membrane system comprises an immobilized glucose oxidase enzyme, which enables a reaction to occur between glucose and oxygen whereby a concentration of glucose can be measured.
The terms “processor module” and “microprocessor,” as used herein, are broad terms and are used in their ordinary sense, without limitation, to refer to a computer system, state machine, processor, or the like designed to perform arithmetic or logic operations using logic circuitry that responds to and processes the basic instructions that drive a computer.
The terms “smoothing” and “filtering,” as used herein, are broad terms and are used in their ordinary sense, without limitation, to refer to modification of a set of data to make it smoother and more continuous or to remove or diminish outlying points, for example, by performing a moving average of the raw data stream.
The term “algorithm,” as used herein, is a broad term and is used in its ordinary sense, without limitation, to refer to a computational process (for example, programs) involved in transforming information from one state to another, for example, by using computer processing.
The term “regression,” as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to finding a line for which a set of data has a minimal measurement (for example, deviation) from that line. Regression can be linear, non-linear, first order, second order, or the like. One example of regression is least squares regression.
The term “calibration,” as used herein, is a broad term and is used in its ordinary sense, including, without limitation, to refer to the process of determining the relationship between the sensor data and the corresponding reference data, which can be used to convert sensor data into meaningful values substantially equivalent to the reference data. In some embodiments, namely, in continuous analyte sensors, calibration can be updated or recalibrated over time as changes in the relationship between the sensor data and reference data occur, for example, due to changes in sensitivity, baseline, transport, metabolism, or the like.
The terms “interferants” and “interfering species,” as used herein, are broad terms and are used in their ordinary sense, including, without limitation, to refer to effects and/or species that interfere with the measurement of an analyte of interest in a sensor to produce a signal that does not accurately represent the analyte concentration. In one example of an electrochemical sensor, interfering species are compounds with an oxidation potential that overlap that of the analyte to be measured, thereby producing a false positive signal.
A transcutaneous analyte sensor system is provided that includes an applicator for inserting the transdermal analyte sensor under a host'"'"'s skin. The sensor system includes a sensor for sensing the analyte, wherein the sensor is associated with a mounting unit adapted for mounting on the skin of the host. The mounting unit houses the electronics unit associated with the sensor and is adapted for fastening to the host'"'"'s skin. In certain embodiments, the system further includes a receiver for receiving and/or processing sensor data.
The mounting unit 14 includes a base 24 adapted for mounting on the skin of a host, a sensor adapted for transdermal insertion through the skin of a host (see
In one embodiment, an applicator 12 is provided for inserting the sensor 32 through the host'"'"'s skin at the appropriate insertion angle with the aid of a needle (see
The electronics unit 16 includes hardware, firmware, and/or software that enable measurement of levels of the analyte via the sensor. For example, the electronics unit 16 can comprise a potentiostat, a power source for providing power to the sensor, other components useful for signal processing, and preferably an RF module for transmitting data from the electronics unit 16 to a receiver (see
After insertion of the sensor using the applicator 12, and subsequent release of the applicator 12 from the mounting unit 14 (see
In preferred embodiments, the mounting unit 14, also referred to as a housing, comprises a base 24 adapted for fastening to a host'"'"'s skin. The base can be formed from a variety of hard or soft materials, and preferably comprises a low profile for minimizing protrusion of the device from the host during use. In some embodiments, the base 24 is formed at least partially from a flexible material, which is believed to provide numerous advantages over conventional transcutaneous sensors, which, unfortunately, can suffer from motion-related artifacts associated with the host'"'"'s movement when the host is using the device. For example, when a transcutaneous analyte sensor is inserted into the host, various movements of the sensor (for example, relative movement between the in vivo portion and the ex vivo portion, movement of the skin, and/or movement within the host (dermis or subcutaneous)) create stresses on the device and can produce noise in the sensor signal. It is believed that even small movements of the skin can translate to discomfort and/or motion-related artifact, which can be reduced or obviated by a flexible or articulated base. Thus, by providing flexibility and/or articulation of the device against the host'"'"'s skin, better conformity of the sensor system 10 to the regular use and movements of the host can be achieved. Flexibility or articulation is believed to increase adhesion (with the use of an adhesive pad) of the mounting unit 14 onto the skin, thereby decreasing motion-related artifact that can otherwise translate from the host'"'"'s movements and reduced sensor performance.
In certain embodiments, the mounting unit 14 is provided with an adhesive pad 8, preferably disposed on the mounting unit'"'"'s back surface and preferably including a releasable backing layer 9. Thus, removing the backing layer 9 and pressing the base portion 24 of the mounting unit onto the host'"'"'s skin adheres the mounting unit 14 to the host'"'"'s skin. Additionally or alternatively, an adhesive pad can be placed over some or all of the sensor system after sensor insertion is complete to ensure adhesion, and optionally to ensure an airtight seal or watertight seal around the wound exit-site (or sensor insertion site) (not shown). Appropriate adhesive pads can be chosen and designed to stretch, elongate, conform to, and/or aerate the region (e.g., host'"'"'s skin).
In preferred embodiments, the adhesive pad 8 is formed from spun-laced, open- or closed-cell foam, and/or non-woven fibers, and includes an adhesive disposed thereon, however a variety of adhesive pads appropriate for adhesion to the host'"'"'s skin can be used, as is appreciated by one skilled in the art of medical adhesive pads. In some embodiments, a double-sided adhesive pad is used to adhere the mounting unit to the host'"'"'s skin. In other embodiments, the adhesive pad includes a foam layer, for example, a layer wherein the foam is disposed between the adhesive pad'"'"'s side edges and acts as a shock absorber.
In some embodiments, the surface area of the adhesive pad 8 is greater than the surface area of the mounting unit'"'"'s back surface. Alternatively, the adhesive pad can be sized with substantially the same surface area as the back surface of the base portion. Preferably, the adhesive pad has a surface area on the side to be mounted on the host'"'"'s skin that is greater than about 1, 1.25, 1.5, 1.75, 2, 2.25, or 2.5, times the surface area ofthe back surface 25 of the mounting unit base 24. Such a greater surface area can increase adhesion between the mounting unit and the host'"'"'s skin, minimize movement between the mounting unit and the host'"'"'s skin, and/or protect the wound exit-site (sensor insertion site) from environmental and/or biological contamination. In some alternative embodiments, however, the adhesive pad can be smaller in surface area than the back surface assuming a sufficient adhesion can be accomplished.
In some embodiments, the adhesive pad 8 is substantially the same shape as the back surface 25 of the base 24, although other shapes can also be advantageously employed, for example, butterfly-shaped, round, square, or rectangular. The adhesive pad backing can be designed for two-step release, for example, a primary release wherein only a portion of the adhesive pad is initially exposed to allow adjustable positioning of the device, and a secondary release wherein the remaining adhesive pad is later exposed to firmly and securely adhere the device to the host'"'"'s skin once appropriately positioned. The adhesive pad is preferably waterproof Preferably, a stretch-release adhesive pad is provided on the back surface of the base portion to enable easy release from the host'"'"'s skin at the end of the useable life of the sensor, as is described in more detail with reference to
In some circumstances, it has been found that a conventional bond between the adhesive pad and the mounting unit may not be sufficient, for example, due to humidity that can cause release of the adhesive pad from the mounting unit. Accordingly, in some embodiments, the adhesive pad can be bonded using a bonding agent activated by or accelerated by an ultraviolet, acoustic, radio frequency, or humidity cure. In some embodiments, a eutectic bond of first and second composite materials can form a strong adhesion. In some embodiments, the surface of the mounting unit can be pretreated utilizing ozone, plasma, chemicals, or the like, in order to enhance the bondability of the surface.
A bioactive agent is preferably applied locally at the insertion site prior to or during sensor insertion. Suitable bioactive agents include those which are known to discourage or prevent bacterial growth and infection, for example, anti-inflammatory agents, antimicrobials, antibiotics, or the like. It is believed that the diffusion or presence of a bioactive agent can aid in prevention or elimination of bacteria adjacent to the exit-site. Additionally or alternatively, the bioactive agent can be integral with or coated on the adhesive pad, or no bioactive agent at all is employed.
In the illustrated embodiment, the sealing member 36 is formed with a raised portion 37 surrounding the contacts 28. The raised portion 37 enhances the interference fit surrounding the contacts 28 when the electronics unit 16 is mated to the mounting unit 14. Namely, the raised portion surrounds each contact and presses against the electronics unit 16 to form a tight seal around the electronics unit.
Contacts 28 fit within the seal 36 and provide for electrical connection between the sensor 32 and the electronics unit 16. In general, the contacts are designed to ensure a stable mechanical and electrical connection of the electrodes that form the sensor 32 (see
In preferred embodiments, the contacts 28 are formed from a conductive elastomeric material, such as a carbon black elastomer, through which the sensor 32 extends (see