Methods for performing physiological stress tests

• US 8,126,542 B2
• Filed: 12/10/2008
• Issued: 02/28/2012
• Est. Priority Date: 12/10/2008
• Status: Expired due to Fees

• Current Assignee: IQ Biolabs Incorporated
• Original Assignee: Somaxis Incorporated
• Inventors: Grey, Alexander B.
• Primary Examiner(s): SZMAL, BRIAN SCOTT
• Application Number:
  US12/332,111
• Publication Number:
  US 20100145219A1
• Time in Patent Office: 1,175 Days
• Field of Search: 600/546, 600/547, 600/300, 600/409, 600/544, 600/545, 600/587, 600/591, 600/595, 600/554, 128/898, 128/905, 340/825.19, 341/21, 345/157, 463/36, 607/45, 424/736, 514/530, 514/546, 514/457, 514/693, 514/543, 514/675
• US Class Current: 600/546
• CPC Class Codes: A61B 5/389 Electromyography [EMG]

Abstract

Systems and methods are provided for evaluating the risk of stress-related injury associated with a predetermined activity. One embodiment involves collecting physiological data while a subject performs a predetermined task, collecting psychological data while the subject performs a cognitive task, and ascertaining the risk of stress-related injury based on both the collected physiological data and the collected psychological data. Another embodiment involves presenting a subject with a plurality of mental and physical tasks during which physiological data, psychological data, and/or both is collected, and determining the risk of stress-related injury based on the data collected. Yet another embodiment includes a test circuit for measuring stress responses that includes both physiological test stations and psychological test stations. Physiological stress is evaluated in the form of surface electromyography data that is quantified into a single index value, as will be described in detail herein.

Claims

1. A method for assessing the physiological effect of physiological and psychological stressors on a subject, the method comprising:

presenting the subject with a first physiological stressor;

receiving surface electromyography (sEMG) data points describing muscular activity of the subject while the subject is experiencing the physiological stressor;

presenting the subject with a first psychological stressor;

receiving sEMG data points describing muscular activity of the subject while the subject is experiencing the psychological stressor;

calculating a first index value summarizing at least a portion of the sEMG data points received while the subject is presented with the psychological stressor; and

calculating a second index value summarizing at least a portion of the sEMG data points received while the subject is presented with the physiological stressor, wherein the act of analyzing the sEMG data points includes analyzing the first and second index values.

2. A method according to claim 1, further comprising ascertaining a risk of the subject developing a stress-related injury based at least in part on the first and second index values.

3. A method according to claim 1, wherein the first physiological stressor includes one or more predetermined physical tasks.

4. A method according to claim 3, wherein the one or more physical tasks include a driving simulation task that requires the subject to perform a simulated driving course on a driving simulator, wherein the simulated driving course further includes a second psychological stressor presented to the subject while the subject is performing the one or more physical tasks.

5. A method according to claim 4, wherein the second psychological stressor includes at least one of a slippery road condition, a police car, a reckless driver, and a loud noise in the simulated driving course.

6. A method according to claim 3, wherein the one or more physical tasks include a gross motor task.

7. A method according to claim 6, wherein the gross motor task requires the subject to perform at least one of lifting an object, moving an object, catching an object, and throwing an object.

8. A method according to claim 3, wherein the one or more physical tasks includes a multitasking task that requires the subject to perform physical exercises utilizing a keyboard, a mouse, a touchpad, and a microphone.

9. A method according to claim 8, further comprising a second psychological stressor that includes at least one of distracting noise, changing fonts, moving virtual windows, and changing display colors that is presented to the subject simultaneously with the one or more physical tasks.

10. A method according to claim 1, wherein the first psychological stressor includes one or more cognitive tasks.

11. A method according to claim 10, wherein the one or more cognitive tasks include at least one of:

requiring the subject to read and recite the name of a word, wherein the semantic meaning of the presented word is a color other than the color of the presented word; and

requiring the subject to perceive and recite the color of the presented word, wherein the semantic meaning of the presented word is a color other than the color of the presented word.

12. A method according to claim 10, wherein the one or more cognitive tasks includes a mathematical processing test presented to the subject, wherein the mathematical processing test requires the subject to perform a series of at least one of addition, subtraction, multiplication, and division exercises aloud.

13. A method according to claim 1, wherein calculating the first and second index values summarizing the sEMG data points includes at least one of:

calculating the index value based at least in part on an area under a curve, the curve approximating at least a portion of the sEMG data points;

calculating the index value based at least in part on an area over the curve;

calculating the index value based at least in part on an average of multiple high data points or an average of multiple low data points;

calculating the index value based at least in part on a combination of a high data point, a low data point, and an average of multiple data points;

calculating the index value based on a derivative of one or more orders; and

calculating the index value based at least in part on a combination of a high data point (H), a low data point (L), and an average data point (A) according to the following equation;

DH+CL+BA=E,

where D, C, and B describe weights assigned to the high data point, low data point, and average data point.

14. A method according to claim 13, wherein the area under the curve or the area over the curve is calculated by taking an integral of at least a portion of an sEMG graph representing the sEMG data points.

15. A method according to claim 13, wherein the area under the curve or the area over the curve is calculated by taking a weighted integral or double integral of at least a portion of an sEMG graph representing the sEMG data points.

16. A non-transitory computer readable medium having computer executable instructions stored on the computer readable medium, the executable instructions being configured to cause a computer to perform the acts of claim 1 when executed by the computer.