Device for monitoring for effectiveness of heart failure therapy

• US 10,376,156 B2
• Filed: 07/17/2015
• Issued: 08/13/2019
• Est. Priority Date: 07/17/2014
• Status: Active Grant

• Current Assignee: Cardimetrix LLC
• Original Assignee: Cardimetrix LLC
• Inventors: Strauss, Benjamin, Forkosh, Eric, Katlowitz, Kalman
• Primary Examiner(s): Jenness, Nathan J
• Application Number:
  US14/802,094
• Publication Number:
  US 20160015276A1
• Time in Patent Office: 1,488 Days
• Field of Search: 600301, 177 45- 50
• 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;

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

a remote server, including memory, configured to receive and store the biometric data from the means for simultaneously starting measurement and calculate heart rate, respiration rate, SpO2, and blood pressure based on the biometric data,

wherein the messages include an alert that the user has stepped off the scale too early in response to the means sensing the weight below a specific threshold and a prompt to step back on the scale,

wherein the means for simultaneously starting measurement comprises a processor configured to continuously scan load cells in the weight scale, detect contact of hands and feet of the user with predetermined areas of the scale system, and exit a sleep state when a predetermined weight threshold is detected on the weight scale.

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 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.

4. 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.

5. The system according to claim 4, wherein the user interface transmits the one or more selected symptoms along with the biometric data to the remote server.

6. The system of claim 5, 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.

7. The system of claim 1, wherein the user interface is a display tablet 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 and the means is configured to measure skin conductance through the conductive surfaces on at least one of the handlebars and determine stress.

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

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

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

12. The system of claim 11, wherein the patient-specific feedback includes whether the analyzed data falls inside pre-determined safe ranges for the user.

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

14. The system of claim 13, wherein the remote server is configured to calculate a peripheral edema value using bioimpedance data collected from the foot electrodes.

15. The system of claim 13, wherein the remote server is configured to calculate a pulmonary edema value using bioimpedance data collected from the electrodes on the handlebars.

16. The system of claim 13, 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.

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

18. 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,

wherein the processor is further configured to detect the user'"'"'s hands and feet losing 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,

wherein the processor is configured to sense a weight below a specific threshold and display an alert and a prompt to step back on the scale,

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

19. The controller of claim 18, wherein the processor is further configured to discard 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.

20. 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.

21. A weight measuring device comprising:

a scale including load cell sensors;

a plurality of hand and foot electrodes mounted to the scale, the hand electrodes mounted to a stalk that is coupled to a base of the device via a hinge mechanism for folding of the device; and

a controller 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 a display tablet for transmission to a remote server,

wherein the processor is further configured to detect the user'"'"'s hands and feet losing 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,

wherein the processor is configured to sense a weight below a specific threshold and display an alert and a prompt to step back on the scale,

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

22. The weight measuring device of claim 21, wherein biometric data received from the hand and foot electrodes comprises bioimpedance data.

23. The weight measuring device of claim 21, wherein biometric data received from the hand and foot electrodes includes a bioimpedance detected across the hand electrodes and a bioimpedance detected across the foot electrodes.

24. The weight measurement device of claim 23, wherein the processor is configured to calculate a water retention volume based on the bioimpedance detected across the hand electrodes and the foot electrodes.