Apparatus and method for beneficial modification of biorhythmic activity

• US 10,531,827 B2
• Filed: 02/06/2014
• Issued: 01/14/2020
• Est. Priority Date: 12/13/2002
• Status: Active Grant

• Current Assignee: 2breathe Technologies Ltd
• Original Assignee: 2breathe Technologies Ltd
• Inventors: Gavish, Benjamin
• Primary Examiner(s): Agahi, Puya
• Application Number:
  US14/174,437
• Publication Number:
  US 20140155714A1
• Time in Patent Office: 2,168 Days
• 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 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4857 Indicating the phase of biorhythm clocks or watches with indicators for biological cycles G04B19/264
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise

Abstract

Apparatus is provided, including a sensor, adapted to generate a sensor signal indicative of biorhythmic activity of a user of the apparatus, the sensor signal having a first characteristic, indicative of a voluntary action of the user, and a second characteristic, indicative of a benefit-related variable of the user. The apparatus also includes a control unit, adapted to receive the sensor signal, and, responsive to the second characteristics generate an output signal which directs the user to modify a parameter of the voluntary action indicated by the first characteristic.

Claims

1. A method for improving a health status of a user, the method comprising:

providing a sensor that monitors the user'"'"'s respiration;

continuously receiving a signal from the sensor indicative of biorhythmic activity of the user, the signal having

a first characteristic indicative of a voluntary action of the user, and

a second characteristic indicative of a benefit-related variable of the user, the second characteristic including a variability of an aspect of the biorhythmic activity selected from a group consisting of an envelope of the biorhythmic activity, an amplitude of the biorhythmic activity, and a period of the biorhythmic activity,

wherein the first and second characteristics are monitored continuously; and

responsive to the continuously monitored second characteristic, continuously generating an output signal which guides the user to modify a parameter of the voluntary action indicated by the first characteristic, the output signal being responsive to the variability of the aspect of the biorhythmic activity, and the parameter of the voluntary action includes synchronization of the first characteristic with the output signal,

wherein the first characteristic is determined from a specific time-point analysis of the signal throughout one or more biorhythmic cycles of the user,

wherein the first characteristic is selected from the list consisting of;

a period of an aspect of the sensor signal, a rate of an aspect of the sensor signal, a rise time of an aspect of the sensor signal, a fall time of an aspect of the sensor signal, a time derivative at a point of an aspect of the sensor signal, a maximum of the time derivative, a minimum of the time derivative, an amplitude of a maximum of an aspect of the sensor signal averaged over two or more biorhythmic cycles of the aspect and an amplitude of a minimum of an aspect of the sensor signal averaged over a last two or more cycles of the aspect and any combination thereof, and

wherein the output signal is generated by applying a set of rules on the continuously monitored second characteristic, the set of rules including a trend or a value of the second characteristic that indicates the health status of the user, thereby indirectly optimizing the benefit related variable indicated by the second characteristic independently of user instruction and/or perception.

2. The method of claim 1, wherein generating the output signal comprises:

generating the output signal as a game, and altering parameters of the game so as to induce the user to modify the parameter of the voluntary action.

3. The method of claim 1, wherein the biorhythmic activity includes muscle activity of the user, and wherein receiving the sensor signal comprises receiving a sensor signal indicative of the muscle activity, wherein the muscle activity is associated with respiratory activity.

4. The method of claim 1, wherein generating the output signal comprises generating an intelligible stimulus, so as to direct the user to modify the parameter of the voluntary action.

5. The method of claim 4, wherein generating the intelligible stimulus comprises generating at least one stimulus selected from the list consisting of:

an image, alpha-numeric text, a sound, a sound pattern, and a dynamic graphical pattern, so as to direct the user to modify the parameter of the voluntary action.

6. The method of claim 1, wherein the sensor signal comprises respiratory air flow of the user.

7. The method of claim 1, wherein the sensor signal comprises breath sounds of the user.

8. The method of claim 1, wherein the voluntary action includes respiration, and wherein the output signal is configured to guide the user to modify a parameter of the respiration.

9. The method of claim 7, wherein the first characteristic includes an end-tidal CO₂ level of the user.

10. The method of claim 1, wherein the subject suffers from abnormal breathing.

11. The method of claim 1, wherein the sensor signal is indicative of neural activity.

12. The method of claim 1, wherein the first and second characteristics are monitored simultaneously.

13. The method of claim 1, wherein the second characteristic is determined in real-time such that the output signal generated reflects the current health state of the user.

14. The method of claim 1, wherein the signal comprises of respiratory-related changes in the gases concentration of the user breath.

15. The method of claim 1, wherein the signal comprises of respiratory-related movements of the user.

16. The method of claim 1, wherein the signal comprises of respiratory-related change in pressure and/or electrical properties and/or temperature measured in at least one organ of the user.