METHOD OF MONITORING HEALTH STATUS OF A PATIENT

• US 20170100561A1
• Filed: 03/07/2016
• Published: 04/13/2017
• Est. Priority Date: 03/07/2011
• Status: Active Grant

• Current Assignee: Theranova, Llc
• Original Assignee: Theranova, Llc
• Inventors: BURNETT, Daniel R.
• Granted Patent: US 11,241,179 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 10/007 for taking urine samples measuring urological functions A61B5/20; genital receptacles A61F5/451; urinals for bed-ridden persons A61G9/006
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/205 Determining bladder or urethral pressure
• CPC Class Codes: A61B 5/207 Sensing devices adapted to collect urine
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/392 : Detecting gastrointestinal contractions
• CPC Class Codes: A61B 5/4839 : combined with drug delivery
• CPC Class Codes: A61B 5/6852 : Catheters
• CPC Class Codes: A61B 5/6853 : with a balloon
• CPC Class Codes: A61B 5/7278 : Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61M 2025/0003 : having an additional lumen transmitting fluid pressure to the outside for measurement
• CPC Class Codes: A61M 25/0017 : specially adapted for long-term hygiene care, e.g. urethral or indwelling catheters to prevent infections
• CPC Class Codes: A61M 25/04 : in the body, e.g. expansible A61M25/10, A61M16/0488 take precedence

Abstract

Foley type catheter embodiments for sensing physiologic data from a urinary tract of a patient are disclosed. The system includes the catheter and a data processing apparatus and methods for sensing physiologic data from the urinary tract. Embodiments may also include a pressure sensor having a pressure interface at a distal end of the catheter, a pressure transducer at a proximal end, and a fluid column disposed between the pressure interface and transducer. When the distal end is residing in the bladder, the pressure transducer can transduce pressure impinging on it into a chronological pressure profile, which can be processed by the data processing apparatus into one or more distinct physiologic pressure profiles, for example, peritoneal pressure, respiratory rate, and cardiac rate. At a sufficiently high data-sampling rate, these physiologic data may further include relative pulmonary tidal volume, cardiac output, relative cardiac output, and absolute cardiac stroke volume.

Claims

1-20. -20. (canceled)

21. A method of monitoring a health status of a patient via location tracking, comprising:

recording a patient'"'"'s location information over a first period of time using a GPS tracking device located with the patient, wherein the location information includes one or more locations each denoted as home, work, out, gym, or commute;

determining a baseline of the patient'"'"'s location information associated with healthy activities;

further tracking the patient'"'"'s location information over a second period of time using the GPS tracking device located with the patient;

analyzing the patient'"'"'s location information over the second period of time with an automated algorithm to determine movement patterns of the patient, wherein the location information includes at least two of home, work, out, gym, and commute; and

comparing the patient'"'"'s location information over the second period of time against the baseline to monitor for a change in behavioral patterns as indicative of an illness of the patient.

22. The method of claim 21 further comprising transmitting the patient'"'"'s movement patterns to a health care provider located remotely from the patient.

23. The method of claim 21 wherein the one or more locations are defined by the patient as home, work, out, gym, or commute.

24. The method of claim 21 wherein the location information is correlated to a map.

25. The method of claim 21 wherein determining a baseline comprises generating a time budget based on the patient'"'"'s location information.

26. The method of claim 21 wherein analyzing the patient'"'"'s location information comprises determining an amount of time spent in each of the one or more locations.

27. The method of claim 21 wherein analyzing the behavioral patterns comprises grouping the patterns into time spent at the one or more locations.