Apparatus and method for improving training threshold

• US 8,996,088 B2
• Filed: 10/12/2012
• Issued: 03/31/2015
• Est. Priority Date: 10/13/2011
• Status: Active Grant

• Current Assignee: University of Houston System
• Original Assignee: University of Houston System
• Inventors: Dacso, Clifford C., Pollonini, Luca
• Primary Examiner(s): Winakur, Eric
• Assistant Examiner(s): Fardanesh, Marjan
• Application Number:
  US13/651,173
• Publication Number:
  US 20130096403A1
• Time in Patent Office: 900 Days
• Field of Search: 600300-344
• US Class Current: 600/324
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

The present invention generally relates to a non-invasive biosensor device configured to measure physiological parameters of a subject. In one aspect, a method of determining a training threshold of a subject is provided. The method includes the step of detecting an oxygenation parameter of a tissue of the subject using Near InfraRed Spectroscopy (NIRS). The method further includes the step of processing the oxygenation parameter. Additionally, the method includes the step of determining the training threshold of the subject using the result of the processing. In another aspect, a biosensor device for determining a lactate threshold of a subject during exercise is provided. In a further aspect, a biosensor device for measuring parameters of a subject during exercise is provided.

Claims

1. A method comprising:

emitting, at predetermined times, a radiation into a tissue of a subject;

detecting, at corresponding predetermined times, a radiation emitted from the tissue of the subject;

calculating, based on the detected radiation, an oxygenation parameter, at each of the corresponding times, of the tissue of the subject;

processing, by one or more processors, the oxygenation parameter to generate one of a substantially real-time lactate curve or ventilatory curve, which is based on one or more signal features of the oxygenation parameter, wherein the oxygenation parameter comprises at least one of concentration of oxygenated hemoglobin, and concentration of deoxygenated hemoglobin, total concentration of hemoglobin, and Tissue Oxygenation Index;

determining whether the lactate curve substantially contains a lactate threshold of the subject or the ventilatory curve substantially contains a ventilatory threshold of the subject; and

providing an alert based on the determination that lactate curve substantially contains a lactate threshold or the ventilatory curve substantially contains a ventilatory threshold of the subject;

wherein the one or more signal features comprises;

a first signal feature comprising a oxygenation parameter value during an exercise stage;

a second signal feature comprising a change in the oxygenation parameter value;

a third signal feature comprising a rate of change in the oxygenation parameter value;

a fourth signal feature comprising a scale of change in the oxygenation parameter value.

2. The method of claim 1, wherein processing the oxygenation parameter comprises analyzing the one or more signal features in a signal profile of the oxygenation parameter.

3. The method of claim 2, wherein the one or more signal features is a characteristic in the signal profile.

4. The method of claim 2, wherein the signal feature is a linear model fit on a plateau interval of a curve of the oxygenation parameter.

5. The method of claim 2, wherein the signal feature is an amplitude of an exponential model of the oxygenation parameter.

6. The method of claim 2, wherein the signal feature is a time constant of an exponential model of the oxygenation parameter.

7. The method of claim 1, further comprising measuring electrocardiography (EKG), photoplethysmography (PPT), and systolic time intervals (STI) of the subject.

8. The method of claim 7, further comprising analyzing measured data to determine the cardiac response of the subject.

9. The method of claim 1, wherein detecting the oxygenation parameter comprises:

delivering luminous radiations at a given optical intensity to a tissue of the subject; and

detecting the optical intensity of the luminous radiations backscattered from the tissue.

10. The method of claim 1, further comprising sending data regarding the lactate curve or ventilatory curve to a display of a secondary device.

11. The method of claim 1, further comprising alerting the subject when the subject has reached on or about the lactate threshold or the ventilatory threshold.

12. The method of claim 1, wherein the processing the oxygenation parameter generates the substantially real-time lactate curve based on four signal features, wherein the lactate curve provides real measurement of total athletic capacity of the subject and relative level of momentary exertion.

13. The method of claim 1, wherein the processing the oxygenation parameter generates the substantially real-time lactate curve which is a linear or non-linear function of one or more signal features.

14. A biosensor device comprising:

a housing;

an emitter disposed in the housing;

the emitter configured to emit, at predetermined times, radiation into a tissue of a subject;

a detector disposed in the housing, the detector being configured to detect, at corresponding predetermined times, a radiation emitted from a tissue of a subject and calculate a corresponding oxygenation parameter, at each of the corresponding predetermined times, of a tissue of the subject;

a processor configured to process the oxygenation parameter to generate a substantially real-time lactate curve or ventilatory curve, which is based on one or more signal features of the oxygenation parameter and determine whether the lactate curve substantially contains a lactate threshold of the subject or the ventilatory curve substantially contains a ventilatory threshold of the subject; and

a communication module configured to provide an alert based on the determination that the lactate curve contains a lactate threshold of the subject or the ventilatory curve substantially contains a ventilatory threshold of the subject;

wherein the oxygenation parameter comprises at least one of concentration of oxygenated hemoglobin, and concentration of deoxygenated hemoglobin, total concentration of hemoglobin, and Tissue Oxygenation Index, and

wherein the one or more signal features comprises;

a first signal feature comprising a oxygenation parameter value during an exercise stage;

a second signal feature comprising a change in the oxygenation parameter value;

a third signal feature comprising a rate of change in the oxygenation parameter value;

a fourth signal feature comprising a scale of change in the oxygenation parameter value.

15. The device of claim 14, wherein the processor is configured to analyze the one or more signal features in a signal profile of the oxygenation parameter.

16. The device of claim 15, wherein the signal feature is a characteristic in the signal profile.

17. The device of claim 15, wherein the signal feature is a linear model fit on a plateau interval of a curve of the oxygenation parameter.

18. The device of claim 15, wherein the signal feature is an amplitude of an exponential model of the oxygenation parameter.

19. The device of claim 15, wherein the signal feature is a time constant of an exponential model of the oxygenation parameter.

20. A biosensor system for measuring parameters of a subject during exercise, the system comprising:

the biosensor device comprising;

a housing;

an emitter disposed in the housing;

the emitter configured to emit, at predetermined times, radiation into a tissue of a subject;

a detector disposed in the housing, the detector being configured to detect, at corresponding predetermined times, a radiation emitted from a tissue of a subject and calculate a corresponding oxygenation parameter, at each of corresponding times, of the tissue of the subject;

a secondary device comprising;

a receiver configured to receive data from the biosensor device;

a processor configured to process the data to generate a substantially real-time lactate curve or ventilatory curve, which is based on one or more signal features of the oxygenation parameter and determine whether the lactate curve substantially contains a lactate threshold of the subject or the ventilatory curve substantially contains a ventilatory threshold of the subject; and

a communication module configured to provide an alert based on the determination that the lactate curve contains a lactate threshold of the subject or the ventilatory curve substantially contains a ventilatory threshold of the subject;

wherein the oxygenation parameter comprises at least one of concentration of oxygenated hemoglobin, and concentration of deoxygenated hemoglobin, total concentration of hemoglobin, and Tissue Oxygenation Index, and

wherein the one or more signal features comprises;

a first signal feature comprising a oxygenation parameter value during an exercise stage;

a second signal feature comprising a change in the oxygenation parameter value;

a third signal feature comprising a rate of change in the oxygenation parameter value;

a fourth signal feature comprising a scale of change in the oxygenation parameter value.

21. The biosensor system of claim 20, wherein the biosensor device further comprises a second detector configured to measure photoplethysmography (PPT) of the subject;

and a third detector configured to measure electrocardiography (EKG) and derived systolic time intervals (STI) of the subject; and

the processor of the secondary device is further configured to analyze data generated by the detectors to determine a cardiac response to exercise and utilization of oxygen by the tissue.

22. The biosensor device of claim 21, wherein the second detector and the third detector are disposed in the housing.