TRUE RESTING HEART RATE

• US 20150182130A1
• Filed: 12/31/2013
• Published: 07/02/2015
• Est. Priority Date: 12/31/2013
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: AliphCom, Inc. (AliphCom Corp.)
• Inventors: Utter, Max Everett II
• Application Number:
  US14/145,852
• Publication Number:
  US 20150182130A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/0026 characterised by the transmission medium
• 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 5/1118 Determining activity level
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle

Abstract

A wireless wearable device to passively detect a true resting heart rate (TRHR) of a user may include a suite of sensors including but not limited to accelerometry sensors for generating motion signals in response to a user'"'"'s body motion, force sensors for generating force signals in response to force exerted by a body portion on the force sensor, and biometric sensors for generating biometric signals indicative of biometric activity in the body including GSR, EMG, bioimpedance, and arousal in the SNS. The suite of sensors may operate to passively determine (e.g., in real time), one or more of TRHR, systemic inflammation (I), contraction (C) (e.g., due to dehydration), stress, fatigue, and mood without any intervention or action on part of the user. The suite of sensors may comprise sensors distributed among a plurality of wireless wearable devices that are wirelessly linked and may share sensor data and data processing.

Claims

1. A system of devices for passively detecting resting heart rate in a body on which the devices are worn, comprising:

a plurality of wireless wearable devices that are wirelessly linked with one another using one or more radios included in each device,

a plurality of sensors disposed among the plurality of wireless wearable devices,

a plurality of processor disposed among the plurality of wireless wearable devices, one or more of the plurality of processors configured to

receive from a set of sensors in the plurality of sensors, sensor signals relevant to a passive determination of a true resting heart rate (TRHR) of a user,

analyze one or more of the sensor signals received to determine if the user is in motion,

analyze one or more of the sensor signals received to determine if the user is asleep,

analyze one or more of the sensor signals received to determine if the user is stressed, and if the user is not in motion, is not asleep, and is not stressed, then

analyze one or more biometric signals from the one or more sensor signals received, and

determine based on analysis of the one or more biometric signals if the one or more biometric signals indicate the TRHR of the user.

2. The system of claim 1, wherein the sensor signals used to determine if the user is in motion comprise signals generated by an accelerometer, a gyroscope or both.

3. The system of claim 2, wherein the accelerometer comprises a multi-axis accelerometer.

4. The system of claim 1, wherein the sensor signals used to determine if the user is asleep comprises signals from a motion sensor and at least one biometric sensor.

5. The system of claim 1, wherein the sensor signals used to determine if the user is stressed comprises signals from at least two different types of biometric sensors.

6. The system of claim 5, wherein one of the at least two different types of biometric sensors comprises a sensor configured to detect signals indicative of arousal in the sympathetic nervous system (SNS).

7. The system of claim 5, wherein one of the at least two different types of biometric sensors comprises a heart rate (HR) sensor.

8. The system of claim 1, wherein the receive, both of the analyze, and the determine occur twenty-four hours a day, seven days a week (24/7) without action by the user.

9. The system of claim 1, wherein the TRHR is wirelessly communicated to another wireless device that is wirelessly linked with one or more of the plurality of wireless wearable devices.

10. The system of claim 1, wherein the sensor signals used to determine if the user is stressed comprise signals from a sensor configured to generate a signal indicative of inflammation, nominal, or contraction states (I/N/C) of a body portion of the user.

11. A device for passively detecting a resting heart rate in a body on which the device is worn, comprising:

a wireless wearable device for passive determination of a true resting heart rate (TRHR) of a user and configured to be coupled with a body portion of the user, the wireless wearable device including in electrical communication with one another

a processor,

a sensor system having a plurality of sensors including motion,

arousal, and biometric sensors,

a data storage unit,

a communications interface including one or more radios configured for radio frequency (RF) communication using one or more wireless protocols,

the processor configured to analyze one or more sensor signals from the plurality of sensors to

determine if the user is in motion,

to determine if the user is asleep,

to determine if the user is stressed, and

if the user is not in motion, is not asleep, and is not stressed, then

to analyze one or more biometric signals from the one or more sensor signals, and

to determine based on analysis of the one or more biometric signals if the one or more biometric signals indicate the TRHR of the user.

12. The device of claim 11, wherein the sensor signals used to determine if the user is stressed comprise signals from a sensor configured to generate a signal indicative of inflammation, nominal, or contraction states (I/N/C) of the body portion of the user.

13. The device of claim 11, wherein the sensor signals used to determine if the user is stressed comprise signals from a sensor configured to detect signals indicative of arousal in the sympathetic nervous system (SNS).

14. The device of claim 11, wherein the sensor signals used to determine if the user is in motion comprise signals generated by a multi-axis accelerometer, a gyroscope or both.

15. The device of claim 11, wherein the analyze and all of the determine occur twenty-four hours a day, seven days a week (24/7) without action by the user.

16. A method of determining resting heart rate, comprising:

receiving sensor signals from a plurality of sensor relevant to determining a true resting heart rate (TRHR) of a user;

analyzing one or more of the sensor signals received to determine if the user is awake;

analyzing one or more of the sensor signals received to determine if accelerometry of the user exceeds a normal value of accelerometry for the user;

analyzing one or more of the sensor signals received to determine if arousal of the user exceeds a normal value of arousal for the user;

analyzing, if the user is awake, and accelerometry does not exceed its normal value, and arousal does not exceed it normal value, one or more biometric signals from the one or more sensor signals received; and

determining based on the analyzing of the one or more biometric signals, if the one or more biometric signals indicate the TRHR of the user.

17. The method of claim 16 and further comprising:

transmitting wirelessly, the TRHR to a wirelessly linked device.

18. The method of claim 16, wherein the analyzing one or more of the sensor signals received to determine if accelerometry of the user exceeds the normal value of accelerometry comprises,

analyzing one or more of the sensor signals received to determine if the user is at rest, and

analyzing one or more of the sensor signals received to determine if the user is in motion.

19. The method of claim 16, wherein the receiving, all of the analyzing, and the determining occur twenty-four hours a day, seven days a week (24/7) without action by the user.

20. The method of claim 16, wherein arousal is determined by one or more of the sensor signals received from a sensor configured to generate a signal indicative of inflammation, nominal, or contraction states (I/N/C) of the body portion of the user.