SYSTEM AND METHOD FOR FUNCTIONAL STATE AND/OR PERFORMANCE ASSESSMENT AND TRAINING PROGRAM ADJUSTMENT

• US 20160143578A1
• Filed: 10/21/2015
• Published: 05/26/2016
• Est. Priority Date: 06/06/2013
• Status: Active Grant

• Current Assignee: Omegawave OY
• Original Assignee: Omegawave OY
• Inventors: Masakov, Leonid Vasilyevich, Nasedkin, Valeriy
• Granted Patent: US 10,470,703 B2
• 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 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• 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 5/4035 Evaluating the autonomic nervous system
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• 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 5/7425 Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image geometric transforms for image registration G06T3/14; enhancement using image fusion G06T5/50; algorithms for registration of images G06T7/30
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture

Abstract

A system and method for training program generation and modification of that program based on assessed functional state and/or workload performance. User-interface logic preferably operating on a mobile device permits a user to record bio-signals indicative of functional state. Assessment-adjustment logic, that may be located at a distance, conducts body system assessments from the received bio-signal data and produces training session targets based on the current functional state of the user. User training objective data may be input through the user-interface logic. Workload performance may be monitored and the training session targets modified based on measured past performance to improve future performance. Various embodiments are disclosed.

Claims

1. A method of generating a session target for physical fitness conditioning, comprising the machine-executable steps of:

receiving an electronic signal indicative of the physical conditioning goal of a user;

receiving sensed bio-signals representative of the current functional state of the user from one or more functional state assessments including heart rate variability, ECG-based, omega wave and EMG assessments;

processing the bio-signals from a first of the functional state assessments to generate a first index parameter indicative of the state of a body system that corresponds to that first functional state assessment;

generating an electronic signal representative of a session target for a current day that is determined, at least in part, by the first index parameter and the value of the electronic fitness goal signal; and

propagating that current day session target representative signal for display to a user.

2. The method of claim 1, further comprising:

receiving sensed bio-signals representative of the current functional state of the user from two or more functional state assessments including heart rate variability, ECG, omega wave and EMG;

processing the bio-signals from a second of the functional state assessments to generate a second index parameter indicative of the state of a body system that corresponds to that second functional state assessment; and

wherein the electronic signal representative of the session target is further determined, at least in part, by the second index parameter.

3. The method of claim 2, including the steps of receiving sensed bio signals for a heart rate variability assessment and an ECG-based assessment, the ECG-based assessment including DECG assessment;

and

generating the first index parameter from the heart rate variability assessment and the second parameter from the DECG assessment.

4. The method of claim 1 wherein the generating a current day session target step includes generating an electronic signal representative of an intensity target and a volume target.

5. The method of claim 4, wherein the:

one or more functional state assessment is heart rate variability and the first index parameter is indicative of the parasympathetic and sympathetic nervous system of the user; and

wherein the generating a session target step further includes decreasing the volume target more than the intensity target when the parasympathetic level is high relative to the sympathetic level and decreasing the intensity target more than the volume target when the sympathetic level is high relative to the parasympathetic level.

6. The method of claim 1, wherein the one or more functional state assessment is heart rate variability.

7. The method of claim 1, further comprising the step of generating a prospective session target for a given day, and the session target generating step includes modifying the prospective session target based on the current functional state of the user as indicated by the value of the first index parameter.

8. The method of claim 7, wherein the modifying step includes the step of shifting along a spectrum of potential session target values to select the current day session target based in part on the first index parameter.

9. The method of claim 1, further comprising the steps of:

generating functional state assessment initiating signals for display to a user;

recording sensed bio-signals for one or more functional state assessments from the user; and

controlling the propagation of the recorded bio-signals for subsequent processing to generate at least the first index parameter.

10. The method of claim 1, further comprising the steps of:

generating a workload measurement based on the physical work performed by a user and influencing the session target based on that workload measurement.

11. The method of claim 1, wherein the one or more functional state assessments includes the ECG-based assessment and the ECG-based assessment includes DECG assessment;

and

wherein the generating a current day session target step includes generating an intensity target parameter for the user that is based on an anaerobic threshold as indicated by the DECG assessment.

12. A method of generating a next session target for physical fitness conditioning, comprising the steps of:

receiving an electronic signal indicative of the physical conditioning goal of a user;

receiving sensed bio-signals representative of the current functional state of that user from one or more functional state assessments and processing the bio-signals to generate one or more functional state index parameters each indicative of the state of a body system to which the respective assessment corresponds;

receiving workload signals indicative of the physical work performed by the user in performing a session target;

creating a next session target influenced by the electronic fitness goal signal, the one or more functional state index parameters and a workload impact measure; and

propagating the next session target for display to a user.

13. The method of claim 12, further comprising the steps of:

determining the current functional state of a user after completion of a session target and prior to creating the next session target; and

ascertaining therefrom the workload impact measure that is indicative of the impact of the previously executed session training workload on the current functional state of the user.

14. The method of claim 12, wherein the generating a next session target step includes generating an electronic signal representative of an intensity target and a volume target as part of the next session target.

15. The method of claim 14, wherein the generating a next session target step further includes decreasing the volume target more than the intensity target when the parasympathetic level of a user is high relative to the sympathetic level and decreasing the intensity parameter more than the volume parameter when the sympathetic level of a user is high relative to the parasympathetic level.

16. The method of claim 14, wherein the one or more functional state assessments include one or more of heart rate variability, ECG-based, omega wave and EMG assessments.

18. The method of claim 12, wherein the bio-signals receiving step includes that step of receiving bio-signals representative of the current functional state of the user from two or more functional state assessments, those functional state tests including heart rate variability, ECG-based, omega wave and EMG assessments.

19. The method of claim 12, further comprising the step of generating a prospective next session target, and the next session target generating step includes the step of modifying the prospective session target based in part one or more functional state index parameters to create the next session target.

20. The method of claim 14, wherein the intensity parameter is derived from the anaerobic threshold of the user which is determined by a differential ECG assessment.

17. A system for creating physical fitness conditioning session targets influenced by current functional state, comprising:

A mobile device with user interface capable of prompting a user for commencing a functional state assessment of one or more of the assessments including heart rate variability, ECG-based, omega wave and EMG and receiving from the user sensed bio-signals responsive to the one or more assessments;

a processing computer having a data store and processing unit that receive an electronic signal indicative of the physical fitness conditioning goal of the user and the sensed bio-signals representative of the current functional state;

wherein the processing computer processes the bio-signals to generate one or more functional state index parameters each indicative of the state of a body system to which the respective assessment corresponds and generates an electronic signal representative of a physical conditioning session target for a current day that is influenced by the value of the electronic fitness goal signal and the one or more functional state index parameters;

wherein the session target signal is propagated for display on the mobile device user interface; and

wherein the processing computer may be one of within or without the mobile device.

21. A computer readable memory adapted for a processing computer, for use in generating a physical fitness conditioning session target influenced by current functional state, to enable the processing computer to perform the steps of:

receiving an electronic signal indicative of the physical fitness conditioning goal of a user;

receiving sensed bio-signals representative of the current functional state of the user from one or more functional state assessments including heart rate variability, ECG-based, omega wave and EMG assessments;

processing the bio-signals from a first of the functional state assessments to generate a first index parameter indicative of the state of a body system that corresponds to that first functional state assessment;

generating an electronic signal representative of a session target for a current day that is determined, at least in part, by the first index parameter and the value of the electronic fitness goal signal; and

propagating that current day session target representative signal for display to a user.