WIRELESS PHYSIOLOGICAL MONITORING DEVICE AND SYSTEMS

• US 20160120434A1
• Filed: 10/30/2015
• Published: 05/05/2016
• Est. Priority Date: 10/31/2014
• Status: Abandoned Application

• Current Assignee: iRhythm Technologies Incorporated
• Original Assignee: iRhythm Technologies Incorporated
• Inventors: Day, Mark, Hughes, Nicholas, Tamura, Yuriko, Park, Shena, Garcia, Frank, Ho, Hung, Sepulveda, Genaro
• Application Number:
  US14/929,125
• Publication Number:
  US 20160120434A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 2560/0468 Built-in electrodes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/259 using conductive adhesive means, e.g. gels
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/335 using integrated circuit memory devices
• CPC Class Codes: A61B 5/346 Analysis of electrocardiograms
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/6832 using adhesives A61B5/259 takes precedence
• CPC Class Codes: A61B 5/6833 : Adhesive patches
• CPC Class Codes: A61B 5/6843 : Monitoring or controlling sensor contact pressure
• CPC Class Codes: A61B 5/7264 : Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 : Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 7/04 : Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• 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

Abstract

The present disclosure relates to a cardiac monitoring system and methods for using such a system. Preferred embodiments detect and record cardiac information via a wearable device, then extract data features from the recorded cardiac information. The extracted data features may then be analyzed and used in clinical diagnosis.

Claims

1-4. -4. (canceled)

5. A wearable physiological monitoring device for monitoring physiological signals in a mammal, the device comprising:

a housing forming a watertight enclosure, the housing integral with two flexible wings extending from the housing, the flexible wings configured to adhere to the skin of the mammal;

wherein the flexible wings comprise electrodes configured to measure a physiological signal;

a processor contained within the housing, the processor configured to continuously record and extract a plurality of features from the physiological signal; and

a transmitter contained within the housing, the transmitter configured to transmit the features and a plurality of references to the locations of the features to a computing device, the computing device configured to identify a plurality of positions of identified signals from the extracted features and references.

6. The device of claim 5, wherein the plurality of features are extracted during an extraction window.

7. The device of claim 5, wherein the features comprise R peak information.

8. The device of claim 7, wherein the R peak information comprises R peak locations.

9. The device of claim 5, wherein the identified signals comprise heart rhythms requiring a clinical intervention.

10. The device of claim 9, wherein clinical intervention comprises one of a change in dosage regimen, a surgical procedure, and a surgical implantation.

11. The device of claim 9, wherein the clinical intervention comprises continuing a therapy.

12. The device of claim 5, wherein the computing device is a server.

13. The device of claim 5, wherein the positions of the identified signals are re-transmitted from the computing device to the processor.

14. The device of claim 13, wherein the processor is configured to read the positions of the identified signals and access an area of memory corresponding to the positions of the identified signals to infer a rhythm segment.

15. The device of claim 14, wherein the transmitter is further configured to transmit the rhythm segment.

16. The device of claim 15, wherein the transmitter is configured to transmit the rhythm segment only if the rhythm segment meets a confidence determination, the confidence determination comprising exceeding a defined threshold.

17. The device of claim 5, wherein the computing device is configured to be in communication with a smartphone.

18. The device of claim 5, wherein the computing device is a smartphone.

19. The device of claim 5, wherein the processor is configured to collect a secondary physiological signal and the transmitter is configured to transmit the secondary physiological signal to the computing device.

20. The device of claim 19, wherein the secondary physiological signal comprises a motion signal.

21. The device of claim 19, wherein the secondary physiological signal comprises acoustic noise

22. The device of claim 19, wherein the processor is further configured to collect a tertiary physiological signal.

23. A wearable physiological monitoring device for monitoring physiological signals in a mammal, the device comprising:

a housing enclosing a monitoring circuit and electrodes configured to measure physiological signals;

a processor contained within the circuit, the processor configured to continuously record and extract a plurality of descriptive features from the physiological signals; and

a transmitter contained within the circuit, the transmitter configured to transmit the descriptive features and a plurality of references to the locations of the descriptive features to a computing device, the computing device configured to identify a plurality of positions of identified signals from the extracted features and references;

wherein the computing device is configured to transmit the positions to the transmitter; and

,

wherein the transmitter is configured to transmit a section of physiological signal after receiving the plurality of positions from the computing device.

24. The device of claim 23, wherein the processor is configured to collect a secondary physiological signal and the transmitter is configured to transmit the secondary physiological signal to the computing device.