Physiological status monitoring system

• US 20120078127A1
• Filed: 09/23/2010
• Published: 03/29/2012
• Est. Priority Date: 09/23/2010
• Status: Active Grant

• Current Assignee: Foster-Miller Incorporated (Thermo Fisher Scientific Incorporated)
• Original Assignee: Foster-Miller Incorporated (Thermo Fisher Scientific Incorporated)
• Inventors: McDonald, David, Mielcarz, Craig D., Nikiforenko, Sergey, Gambetta, Vernon A.
• Granted Patent: US 8,585,606 B2
• Time in Patent Office: Days
• US Class Current: 600/508
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2560/0431 Portable apparatus, e.g. comprising a handle or case
• CPC Class Codes: A61B 2560/045 with a separable interface unit, e.g. for communication
• CPC Class Codes: A61B 2560/0456 Apparatus provided with a docking unit
• CPC Class Codes: A61B 5/0015 characterised by features of the telemetry system
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6805 Vests
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00

Abstract

A load score system includes a metabolic sensor such as a heart rate sensor for a subject is configured to output metabolic data for the subject. A biomechanical load sensing subsystem for the subject is configured to output biomechanical load data. A speed sensor subsystem for the subject is configured to output speed data. One or more databases store zones and a weighting factor for each zone for metabolic data, biomechanical load data, and speed data. A performance module is responsive to the metabolic data, the biomechanical load data, and the speed data and the one or more databases and is configured to calculate a metabolic load score for the subject. A biomechanical load score for the subject and a speed load score for the subject are also calculated. An output module displays the subject'"'"'s calculated metabolic, biomechanical, and speed load scores.

Claims

1. A load score system comprising:

a metabolic sensor for a subject configured to output metabolic data for the subject;

a biomechanical load sensing subsystem for the subject configured to output biomechanical load data;

a speed sensor subsystem for the subject configured to output speed data;

one or more databases storing zones and a weighting factor for each zone for metabolic data, biomechanical load data, and speed data;

a performance module responsive to the metabolic data, the biomechanical load data, and the speed data and the one or more data bases and configured to;

calculate a metabolic load score for the subject,

calculate a biomechanical load score for the subject, and

calculate a speed load score for the subject; and

an output module configured to display the subject'"'"'s calculated metabolic, biomechanical, and speed load scores.

2. The system of claim 1 in which the biomechanical load sensing subsystem and the speed sensor subsystem include an accelerometer.

3. The system of claim 2 in which the accelerometer is a three axis accelerometer.

4. The system of claim 3 in which biomechanical load sensing subsystem includes means for processing the outputs of the three axis accelerometer.

5. The system of claim 3 in which the speed sensor subsystem includes means for processing one output of the three axis accelerometer.

6. The system of claim 1 in which the performance module is configured to detect peaks in the biomechanical load data above a threshold, detect events based on the peaks, and for each event determine a zone for and a weighting factor to be applied to biomechanical load data to output a biomechanical load score for the subject.

7. The system of claim 1 in which speed sensor subsystem is configured to identify steps and their frequency to determine speed data.

8. The system of claim 7 in which the performance module is configured to determine a zone for and a weighting factor to be applied to the speed data to output a speed load score for the subject.

9. The system of claim 1 in which the performance module is configured to determine a zone for and a weighting factor to be applied to the metabolic data to output a metabolic load score for the subject.

10. The system of claim 1 in which the metabolic sensor is a heart rate sensor.

11. The system of claim 1 in which the performance module includes a clustering function configured to increase a said load score by a predetermined factor if a predetermined number of load events occur within a predetermined time period.

12. The system of claim 12 further including:

a garment;

a band integrated with the garment including respiration sensing conductors and one or more additional conductors connected to a heart rate sensor;

a dock attached to the garment, the dock including;

a receptacle comprising;

a cover secured to the band,

a printed circuit board associated with the cover and including an accelerometer for the biomechanical load sensing subsystem and the speed sensor subsystem and a first connector component electrically connected to said respiration sensing conductors and said at least one additional conductor;

a housing attached to the garment and receiving the receptacle therein; and

a portable transmitting unit removeably received in the dock and including a second connector component mateable with the first connector component.

14. The method of claim 12 further including the step of determining a total load score based on the metabolic load score, the speed load score, and the biomechanical load score.

13. A physiological monitoring method comprising:

determining heart rate data of a person, the person'"'"'s speed data, and a biomechanical load data experienced by the person;

establishing a set of zones for metabolic load, speed load, and biomechanical load, each zone having an upper threshold, a lower threshold, and a weighting factor;

based on the determined heart rate data, determining the time spent in each metabolic load zone and multiplying the weighting factor for each load zone by the time spent in each zone to determine a metabolic load score;

based on the speed data, allocating the determined speed data amongst the various speed zones based on the thresholds for each said zone and applying the weighting factor for each said zone to determine a speed load score; and

based on the biomechanical load data, allocating the determined biomechanical load data amongst the various biomechanical load zones based on the threshold for each said zone and applying the weighting factor for each said zone to determine a biomechanical load score.

15. A physiological monitoring system comprising:

a metabolic sensor configured to output metabolic data for a subject;

a biomechanical load sensing subsystem for the subject configured to determine a biomechanical load event;

a speed sensor subsystem for the subject configured to determine a step event and to calculate speed data based on step events and the time between step events;

one or more databases storing zones and a weighting factor for each zone for metabolic data, biomechanical load, and speed data; and

a performance module responsive to the metabolic data, biomechanical load, and speed data and the one or more databases and configured to;

calculate a metabolic load score for the subject by determining, for said metabolic data, a zone for the metabolic data and a weighting factor for the metabolic data and, based on the zone and weighting factor, to determine a metabolic load score,

calculate a speed load score for the subject by determining, for said speed data, a zone for the speed data and a weighting factor for the speed data, and based on the zone and weighting factor, to determine the speed load score, and

calculate a biomechanical load score for the subject by determining, for a said biomechanical load event, a zone for said biomechanical load event and a weighting factor for the biomechanical load event, and based on said zone and said weighting factor, to determine a biomechanical load score.

16. The system of claim 15 in which the biomechanical load sensing subsystem and the speed sensor subsystem include an accelerometer.

17. The system of claim 16 in which the accelerometer is a three axis accelerometer.

18. The system of claim 17 in which biomechanical load sensing subsystem includes means for processing the outputs of the three axis accelerometer.

19. The system of claim 17 in which the speed sensor subsystem includes means for processing one output of the three axis accelerometer.

20. The system of claim 15 in which the performance module is configured to detect peaks in the biomechanical load data above a threshold, detect biomechanical load events based on the peaks, and for each biomechanical event, determine a zone for and a weighting factor to be applied to output a biomechanical load score for the subject.

21. The system of claim 15 in which speed sensor subsystem is configured to identify steps and their frequency to determine speed data.

22. The system of claim 21 in which the performance module is configured to determine a zone for and a weighting factor to be applied to the speed data to output a speed load score for the subject.

23. The system of claim 15 in which the performance module is configured to determine a zone for and a weighting factor to be applied to the metabolic data to output a metabolic load score for the subject.

24. The system of claim 15 in which the metabolic sensor is a heart rate sensor.

25. The system of claim 15 in which the performance module includes a clustering function configured to increase a said load score by a predetermined factor if a predetermined number of load events occur within a predetermined time period.

26. A load score system comprising:

a first sensor configured to output a first type of data for a subject;

a second sensor configured to output a second type of data for the subject;

one or more databases storing zones and a weighting factor for each zone for the first and second types of data; and

a performance module responsive to the first and second types of data, the zones, and the weighting factors and configured to;

calculate a first load score for the first type of data,

calculate a second load score for the second type of data, and

an output module configured to display a subject'"'"'s first and second load scores.