DEVICE FOR MONITORING FOR EFFECTIVENESS OF HEART FAILURE THERAPY

• US 20160015276A1
• Filed: 07/17/2015
• Published: 01/21/2016
• Est. Priority Date: 07/17/2014
• Status: Active Grant

• Current Assignee: Cardimetrix LLC
• Original Assignee: Cardimetrix LLC
• Inventors: STRAUSS, Benjamin, FORKOSH, Eric, KATLOWITZ, Kalman
• Granted Patent: US 10,376,156 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• 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 5/02125 of pulse wave propagation time
• 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 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/0535 Impedance plethysmography for measuring blood flow A61B5/0295
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/085 Measuring impedance of respiratory organs or lung elasticity
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/4023 Evaluating sense of balance
• CPC Class Codes: A61B 5/4878 Evaluating oedema
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6887 mounted on external non-worn devices, e.g. non-medical devices
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G01G 19/50 having additional measuring devices, e.g. for height

Abstract

A step-on device records the patient'"'"'s EKG, Respiratory signal, PPG, and weight, giving health care personnel the ability to monitor patient health trends. The device sends the data to a central server via a smartphone or via WiFi. Health care personnel may view the data and trends on an online website or app.

Claims

1. A system for measuring biometrics associated with congestive heart failure, the system comprising:

a weight scale including foot electrodes and a support extending from the weight scale, the support having handlebars with electrodes for measuring biometrics,

a user interface for displaying user history, target biometric values, and messages to a user; and

means for starting measurement of a plurality of biometrics, receiving biometric data over a predetermined period of time, and processing the biometric data.

2. The system of claim 1, wherein the biometric data include ECG, respiratory, bioimpedance, and weight data.

3. The system of claim 1, wherein the messages include an alert that the user has stepped off the scale too early and a prompt to step back on the scale.

4. The system of claim 1, wherein the system includes a fingerclip mounted on the support that measures pulse oximetry and the messages include a prompt to use the fingerclip mounted to the support.

5. The system of claim 1, wherein the messages include an interactive symptoms survey prompting the user to select one or more symptoms on the display.

6. The scale according to claim 5, wherein the user interface transmits the one or more selected symptoms along with the biometric data to a remote server.

7. The system of claim 1, wherein the display tablet is integrated or wirelessly connected to the weight scale.

8. The system of claim 1, wherein the electrodes comprise two separate electrically conductive surfaces on a left handlebar and two separate electrically conductive surfaces on the right handlebar.

9. The system of claim 1, wherein the remote server is configured to update a history of analyzed data for the patient and transmit the data to a website accessible by the user and a physician.

10. The system of claim 1, further comprising the remote server is configured to receive biometric data, analyze the biometric data, and determine trends in the data over time.

11. The system of claim 1, wherein the means for starting a measurement comprises a processor configured to continuously scan load cells in the weight scale and exits a sleep state when a predetermined weight threshold is detected on the weight scale.

12. The system of claim 1, wherein the remote server is configured to provide and update biometric data to a user and a physician.

13. The system of claim 1, wherein the remote server is configured to analyze the data and provide patient-specific feedback to the user on the display tablet based on the analyzed data.

14. The system of claim 1, wherein the user interface transmits the biometric data to a remote server.

15. The system of claim 14, wherein the remote server is configured to calculate a peripheral edema value using bioimpedance data collected from the foot electrodes.

16. The system of claim 14, wherein the remote server is configured to calculate a pulmonary edema value using bioimpedance data collected from the electrodes on the handlebars.

17. The system of claim 14, wherein the remote server is configured to distinguish weight gain due to fluid retention from weight gain due to other causes based on the collected biometric data.

18. The system of claim 13, wherein the patient-specific feedback includes whether the analyzed data falls inside pre-determined safe ranges for the user.

19. The system of claim 1, wherein the remote processor includes a memory to store the received signals and is further configured to calculate heart rate, respiration rate, and SPO2 based on the received biometric data.

20. The system of claim 1, wherein the remote processor is further configured to measure balance and water content based on the received biometric data.

22. The controller of claim 18, wherein the processor is further configured to detect if the user'"'"'s hands and/or feet lose contact with predetermined areas of the scale system during the predetermined period of time and display instructions to the user to regain contact with the predetermined areas.

23. The controller of claim 19, wherein the processor is further configured to discard the previously acquired biometric data and acquire a new set of biometric data for the predetermined period of time in response to detection that the user'"'"'s hand and feet have regained contact with the predetermined areas.

24. The controller of claim 18, wherein the processor is further configured to stop acquiring biometric data after a predetermined period of time has passed and notify a user that the acquisition is complete.

25. The controller of claim 19, wherein the processor is further configured to determine whether a change in a patient pulse oximetry is a result of fluid retention in the lungs based on the acquired biometric data, and notify a user of the determination.

21. A controller for a weight scale system comprising:

a processor; and

a memory having stored therein a plurality of instructions that when executed by the processor cause the controller to;

switch the weight scale system from a sleep mode to an active mode upon detection of at least a predetermined weight on the weight scale;

detect that a user'"'"'s hands and feet are in contact with predetermined areas of the scale system;

acquire biometric data from the weight scale system for a predetermined period of time in response to the detection; and

transmit the acquired biometric data to the display tablet for transmission to a remote server.

26. A weight measuring device comprising:

a scale including load cell sensors;

a plurality of hand and foot electrodes mounted to the scale;

and a processor configured to determine whether a change in patient weight is a result of fluid retention based on signals received from the hand and foot electrodes and a weight signal generated by the load cell sensors and to notify a user of the determination.

27. The weight measuring device of claim 26, further comprising a signal generator, wherein the signals received from the hand and foot electrodes are bioimpedance signals.

28. The weight measurement device of claim 27, wherein the processor determines the change in weight is due to fluid retention when increase in weight is detected for the user and an overall decrease in bioimpedance.

29. The weight measuring device of claim 26, wherein the signals received from the hand and foot electrodes include a bioimpedance detected across the hand electrodes and a bioimpedance detected across the foot electrodes.

30. The weight measurement device of claim 29, wherein the processor is configured to calculate a water retention volume based on the bioimpedance detected across the hand electrodes and the feet electrodes.