NON-INVASIVE NANOSENSOR SYSTEM TO DETERMINE ANALYTE CONCENTRATION IN BLOOD AND/OR BODILY FLUIDS.

• US 20180070866A1
• Filed: 09/13/2016
• Published: 03/15/2018
• Est. Priority Date: 09/13/2016
• Status: Abandoned Application

• Current Assignee: Ehsan Marzbanrad, Kaamran Raahemifar
• Original Assignee: Ehsan Marzbanrad, Kaamran Raahemifar
• Inventors: Raahemifar, Kaamran, Marzbanrad, Ehsan
• Application Number:
  US15/264,010
• Publication Number:
  US 20180070866A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0223 Magnetic field sensors
• CPC Class Codes: A61B 2562/0238 Optical sensor arrangements for performing transmission measurements on body tissue
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/14503 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence
• CPC Class Codes: A61B 5/14507 specially adapted for measuring characteristics of body fluids other than blood devices for taking samples of body liquids A61B10/0045
• CPC Class Codes: A61B 5/14517 for sweat
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/1486 using enzyme electrodes, e.g. with immobilised oxidase
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: C12Q 1/006 for glucose
• CPC Class Codes: G01N 33/492 : Determining multiple analytes
• CPC Class Codes: G01N 33/66 : involving blood sugars, e.g. galactose
• CPC Class Codes: G16H 80/00 : ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• CPC Class Codes: H04W 4/38 : for collecting sensor information
• CPC Class Codes: H04W 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: Y02D 30/70 : in wireless communication networks

Abstract

The device is an ultra-low power, non-invasive in-vivo blood analyte sensor system incorporating multiple sensors including a carbon base and/or carbon base material coated with metallic nanoparticles and/or metallic nanoparticle nanoprobes, as a modified Clark electrode sensor system, that detects hydrogen peroxide concentrations, pH, and/or glucose concentrations (and other analytes) in bodily secretions (e.g. tears, saliva, sweat). The device consists of multiple chemoreceptive sensors, a microprocessor, a signal amplifier, signal filtering, error correction algorithms, analog-to-digital converter and wireless electromagnetic data transmitter to a remote device for further processing and/or data storage (e.g. on a server, on a cloud-based storage system, etc) and/or visual representation via software. The method involves applying the nanoprobe sensor array to skin tissue and the resulting electrical impulses correlate with glucose concentration within liquids such as tears, saliva, blood, etc. The collected data is then represented visually on a computer (handheld, smart-phone, desktop, laptop, etc) via software. The device is powered by ambient electromagnetic radiation, thermoelectric and/or solar power and/or rechargeable battery. The device is placed against the skin or immersed in a sample for sensor measurement. Single and continuous data collection is possible. The device can be reused repeatedly, re-sterilized and it is a high accuracy, low-cost option for multiple use glucose concentration measurements. The device can monitor blood glucose for Type I and Type II diabetics and it is suitable for a wide range of applications including gases, liquids and solids, biological, organic and inorganic chemical analysis.

Claims

1. The core technology and features of the device are as follows. A device can be used individually and/or collectively. The device can be customized extensively by a user, meaning, that features and sensors that can be activated or deactivated by the user during a setup of the device prior to use, to perform concentration analysis measurements of any of the following:

gases, liquids and solids, biological material, organic, inorganic chemicals, electromagnetic radiation and ionization radiation. The device consists of a physical shell that will allow the user to attach it to any body part. The device and/or its individual sensors may be attached to other body parts as required by the user, as a method to customize the device to the needs of the user. Each device contains any combination of the following;

a) multiple chemoreceptive;

b) electromagnetic and/or;

c) environmental sensors. Each device contains a near-infrared wavelength pulse wave photodiode emitter source, a photoelectric sensor, multiple chemoreceptive, electromagnetic and environmental sensors, a near-infrared wavelength pulse wave photodiode emitter source, a photoelectric sensor, microprocessor, a signal amplifier, signal filtering, error correction algorithms, analog-to-digital converter and wireless electromagnetic data transmitter, to transmit processed data from a local device to a remote device for further processing and/or data storage (e.g. on a server, on a cloud-based storage system, etc) and/or visual representation via software. electrical system that is sufficiently isolated from the surrounding environment, in accordance with national and international, industrial, occupational health and safety standards (physical shell that will waterproof and/or water repellant and/or suitable for light underwater work, to a depth of X meters). The device provides data that can be streamed, recorded and stored locally and/or remotely, for the end-user, for the purposes of data science, such as correlative analysis, data collections, predictive modelling, artificial intelligence, data mining and machine learning.

2. The device, as indicated in claim #1, consists of non-invasive sensors and/or invasive sensors, and both are capable of single and/or continuous data collection.

3. The device, as indicated in claim #1, consists of sensors that requires physical contact with, in any combination:

a) skin;

b) objects;

c) samples and/or;

environmental mediums (e.g. air, water, etc).

4. The device, as indicated in claim #1, contains one or more modified Clark electrode chemoreceptive sensor systems, namely carbon base and/or decorated carbon-based materials with metallic nanoparticles and/or metallic nanoparticle nanoprobes.

5a. a. The device, as indicated in claim #4, requires physical contact with a liquid (for example, but not limited to, tears, saliva, sweat, etc.), to measure hydrogen peroxide concentrations and/or pH and/or glucose concentrations and/or other analytes in bodily secretions (for example, but not limited to, tears, saliva, sweat, etc.).

5b. b. The device, as indicated in claim #4, contains one or more near-infrared wavelength electromagnetic radiation pulse wave photodiode emitter source(s) and a photoelectric sensor(s).

5c. c. The device, as indicated in claim #4, uses near-infrared wavelength electromagnetic radiation transmission through an object (e.g. skin) and reflectivity data from the surface or inner contents of an object (e.g. skin) to determine the analyte concentrations in the fluid(s) underneath the surface of the object (e.g. skin).

6. The device, as indicated in claim #1, consists of a sensor system for detecting concentrations of analytes and/or particulate in any combination of the following:

a) blood;

b) bodily fluids (e.g. saliva, tears, sweat, etc);

c) air;

d) water;

e) soil;

f) gases;

g) liquids, h) solids and/or i) pH.

7. The device, as indicated in claim #1, consists of multiple physical sensor types in any combination, including, but not limited to:

a) accelerometer;

b) gyroscope;

c) magnetometer;

d) vibration;

e) temperature;

f) humidity;

g) heart rate activity measuring sensor;

h) electroencephalography electrodes;

i) one or more near-infrared wavelength electromagnetic radiation pulse wave photodiode emitter source(s) and a photoelectric sensor(s) and/or;

j) near-infrared wavelength electromagnetic radiation transmission through an object (e.g. skin) and reflectivity data from the surface or inner contents of an object (e.g. skin) to determine the analyte concentrations in the fluid(s) underneath the surface of the object (e.g. skin).

8. The device, as indicated in claim #1, consists of a camera, capable of still photographs and/or video recording and/or video streaming and/or two-way communication.

9. The device, as indicated in claim #1, consists of a microphone, capable of audio recording and/or audio streaming and/or two-way communication.

10. The device, as indicated in claim #1, consists of at least two methods of wireless communication in any combination:

a) short range communication (within 7 feet radius of a device transceiver);

b) medium range communication (within 50 feet radius of a device transceiver);

c) long-range communication (full geographic expanse of a computer network, user defined, from the device transceiver).

11a. a. The device, as indicated in claim #10a, consists of a wireless communication transceiver in the radio frequency electromagnetic spectrum, for example, but not limited to, Bluetooth, approximately 700 MHz range, for short-distance communication between an individual sensor modality mounted to a user and the local device and in order to specifically identify a single device. The communication range is limited to less than 7 feet from the device transceiver.

11b. b. The device, as indicated in claim #10a, consists of an encryption method, identification number and temporal identification encoding, to connect the Bluetooth signal physically attached to one user, to only communicate with the local device of the user, to minimize cross-talk between other users wearing similar devices and in order to specifically identify a single device, via a method different from that used in 10b and 10c above.

12a. a. The device, as indicated in claim #10b, consists of a wireless microwave communication transceiver, for example, but not limited to, ZigBee or Wifi, approximately 2.4 GHz range, for medium distance communication with a network access point. The communication range is limited to 50 feet radius from the device transceiver.

12b. b. The device, as indicated in claim #10b, consists of an encryption method, modulation and temporal identification encoding, to connect the wireless communication device physically attached to one user, to only communicate with the nearest network wireless node, to minimize cross-talk between other users wearing similar devices and in order to specifically identify a single device, via a method different from that used in 10a and 10c above.

13. The device, as indicated in claim #10c, consists of an encryption method and identification number, to convey data from the wireless access node in a fixed location and/or ad-hoc computer network to communication directly with a remote computer and/or remote device (including, but not limited to, a handheld computer, smart-phone, desktop, tablet, netbook, laptop, etc), where the collected data is represented visually via software, in order to minimize cross-talk between other users wearing similar devices and in order to specifically identify a single device, via a method different from that used in 10a and 10b above. The remote device and/or remote computer shall be capable of accurately locating the individuals using RF based localization techniques.

14. The device, as indicated in claim #1, uses near-infrared wavelength electromagnetic radiation transmission through an object (e.g. skin) and reflectivity data from the surface or inner contents of an object (e.g. skin) to determine the analyte concentrations in the fluid(s) underneath the surface of the object (e.g. skin).

15. The device, as indicated in claim #1, contains error correcting coding and/or neural networks and/or machine learning and/or software algorithms and/or electronic filtering methods to generate processed data with high accuracy and high precision.

16. The device, as indicated in claim #1, is a device with ultra-low power requirements for operation, for energy efficiency, powered by ambient thermoelectric and/or electromagnetic radiation and/or piezoelectric generator and/or rechargeable batteries and/or rechargeable supercapacitors.