WEARABLE DEVICE TO DETECT INFLAMATION

• US 20150182163A1
• 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
• Application Number:
  US14/145,856
• Publication Number:
  US 20150182163A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1072 measuring distances on the body, e.g. measuring length, height or thickness A61B5/1076 takes precedence
• CPC Class Codes: A61B 5/1107 Measuring contraction of parts of the body, e.g. organ, muscle apparatus for measuring work or force in general G01L
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 : Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4842 : Monitoring progression or stage of a disease
• CPC Class Codes: A61B 5/4866 : Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/6826 : Finger
• CPC Class Codes: A61B 5/6831 : Straps, bands or harnesses
• CPC Class Codes: A61B 5/6843 : Monitoring or controlling sensor contact pressure
• CPC Class Codes: A61B 5/721 : using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• 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 5/7282 : 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 5/742 : using visual displays A61B5/339 takes precedence
• CPC Class Codes: G01L 1/00 : Measuring force or stress, in general measuring force due to impact G01L5/00
• CPC Class Codes: G16H 15/00 : ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 40/67 : for remote operation

Abstract

A wireless wearable device to detect inflammation may include motion sensors for generating motion signals in response to body motion (e.g., accelerometry), 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 (e.g., arousal in the SNS). Processing of the force signals using the motion signals may be used to remove errors in the force signals caused by the body motion. The processing may generate a signal that indicates a state of the body that is an inflammation state (I), a contraction state (C) or a nominal state (N). The inflammation state may be attributed to systemic inflammation, the contraction state may be attributed to dehydration/severe dehydration, and the normal state may be attributed to a normal baseline tissue pressure in the body of a user.

Claims

1. A system of devices for detecting systemic inflammation 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, and

each device including a sensor system having one or both of;

a first sensor configured to couple with body tissue and to generate a first signal indicative of force applied to the first sensor by the body tissue, and

a motion sensor configured to generate a motion signal in response to motion of the body tissue;

a processor coupled with the sensor system and configured to analyze the first signal and the motion signal to determine motion induced error in the first signal caused by the motion of the body tissue, to subtract out the motion induced error, if present in the first signal, using the motion signal, and to generate a signal indicating a state of the body tissue, the state selected from the group consisting of an inflammation state, a contraction state, and a nominal state.

2. The system of claim 1, wherein the sensor system further comprises:

a biometric sensor configured to generate a biometric signal indicative of biometric activity within the body tissue, on a skin surface of the body tissue or both.

7. The system of claim 1, wherein at least one of the wireless wearable devices includes a chassis configured as a ring to be worn on a digit of a hand.

8. The system of claim 7, wherein the chassis includes a display configured to indicate a mood, and the mood that is indicated is different for each of the inflammation state, the contraction state, and the nominal state.

9. The system of claim 1, wherein the processor comprises a plurality of processors, at least one of the plurality of processors is disposed in another system that is external to the plurality of wireless wearable devices, and the another system is wirelessly linked with one or more of the plurality of wireless wearable devices,

and at least another one of the plurality of processors is disposed in one of the plurality of wireless wearable devices.

10. The system of claim 1, wherein the processor is further configured to generate a selected one or more of a report, a notification, a coaching, or an avoidance based on the state of the body tissue that is indicated, and

the processor is configured to wirelessly access data internal to one or more of the plurality of wireless wearable devices, wirelessly access data in an external resource or both to generate the selected one or more of the report, the notification, the coaching, or the avoidance.

3. The system of claim 3, wherein the biometric activity is selected from the group consisting of heart rate, resting heart rate, heart rate variability, respiration rate, temperature, skin conductance, skin conductance response, galvanic skin response (GSR), electromyography (EMG), electrical activity of the sympathetic nervous system (SNS), arousal of the SNS, electrodermal activity, and electrodermal response.

4. The system of claim 3, wherein the processor is positioned in one or more of the plurality of wireless wearable devices.

5. The system of claim 3, wherein the processor is disposed in another system that is external to the plurality of wireless wearable devices, and the another system is wirelessly linked with one or more of the plurality of wireless wearable devices.

6. The system of claim 5, wherein the another system comprises a wireless client device.

11. A device for detecting systemic inflammation in a body on which the device is worn, comprising:

a wireless wearable device including

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

a sensor system including

a first sensor configured to couple with body tissue and to generate a first signal indicative of force applied to the first sensor by the body tissue,

a motion sensor configured to generate a motion signal in response to motion of the body tissue, and

a biometric sensor configured to generate a biometric signal indicative of biometric activity within the body tissue, on a skin surface of the body tissue or both, and

a processor coupled with the sensor system and configured to

analyze the first signal and the motion signal to determine motion induced error in the first signal caused by the motion of the body tissue, to subtract out the motion induced error, if present in the first signal, using the motion signal, and to generate a signal indicating a state of the body tissue, the state selected from the group consisting of an inflammation state, a contraction state, and a nominal state, and

to analyze the biometric signal to verify the state before communicating the state using a display, using the communications interface or both.

12. The device of claim 11, wherein the communications interface wirelessly communicates the state to a wireless client device that is wirelessly linked with the wireless wearable device using at least one of the wireless protocols.

13. The device of claim 11, wherein the wireless wearable device includes a chassis configured as a ring to be worn on a digit of a hand.

14. The device of claim 13, wherein the display is included in the chassis and the display is configured to indicate a mood, and the mood that is indicated is different for each of the inflammation state, the contraction state, and the nominal state.

15. The device of claim 11, wherein the wireless wearable device includes a chassis configured as an article to be worn selected from the group consisting of a bracelet, a watch, a ring, a necklace, a strap band, a waist band, an ear ring, a head band, a data capable strap band, a smart watch, and an arm band.

16. The device of claim 11, wherein the biometric activity is selected from the group consisting of heart rate, resting heart rate, heart rate variability, respiration rate, temperature, skin conductance, skin conductance response, galvanic skin response (GSR), electromyography (EMG), electrical activity of the sympathetic nervous system (SNS), arousal of the SNS, electrodermal activity, and electrodermal response.

17. The device of claim 11, wherein the processor is further configured to generate a selected one or more of a report, a notification, an avoidance, or a coaching based on the state of the body tissue that is indicated, and

the processor is configured to access data internal to the wireless wearable device, wirelessly access data in an external resource or both to generate the selected one or more of the report, the notification, the avoidance, or the coaching.

18. The device of claim 11, wherein the external resource comprises another wireless wearable device.

19. A computer program product embodied in a non-transitory computer readable medium configured to execute on a general purpose computer, comprising:

measuring first signals from a first sensor configured to generate the first signal in response to force exerted on the first sensor by body tissue coupled with the first sensor;

measuring second signals from a second sensor configured to generate the second signals in response to motion of the body tissue;

analyzing the first and second signals to determine motion induced error in the first signals caused by the motion of the body tissue;

processing the second signals to subtract out of the first signals any motion induced error that was determined by the analyzing; and

generating a signal indicating a state of the body tissue.

20. The computer program product of claim 19, wherein the signal indicating the state of the body tissue comprises a state selected from the group consisting of an inflammation state, a contraction state, and a nominal state.