Method And System For Monitoring Physiological And Athletic Performance Characteristics Of A Subject

• US 20160249826A1
• Filed: 04/27/2016
• Published: 09/01/2016
• Est. Priority Date: 09/01/2009
• Status: Abandoned Application

• Current Assignee: Adidas AG
• Original Assignee: Adidas AG
• Inventors: DERCHAK, P. Alexander
• Application Number:
  US15/139,491
• Publication Number:
  US 20160249826A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0223 Magnetic field sensors
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• 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 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• 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 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A63B 24/0003 Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 : for local operation

Abstract

The present invention is directed to systems and methods for monitoring characteristics of a subject. A system according to an exemplary embodiment of the invention includes a sensor subsystem including at least one respiratory sensor disposed proximate to the subject and configured to detect a respiratory characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one respiratory signal representing the respiratory characteristic, and at least one physiological sensor disposed proximate to the subject and configured to detect a physiological characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one physiological signal representing the physiological characteristic, and a processor subsystem in communication with the sensor subsystem, the processor subsystem being configured to receive at least one of the at least one respiratory signal and the at least one physiological signal.

Claims

1-28. -28. (canceled)

29. A method for monitoring a subject engaged in a physical activity, the method comprising:

generating a distance signal representative of the distance between a first sensor and a second sensor each positioned at the subject'"'"'s torso and responsive to changes in distance therebetween;

transmitting the distance signal to a processor subsystem;

generating a respiratory signal;

generating a spatial signal representative of an orientation of a body part of the subject and transmitting the spatial signal to the processor subsystem; and

receiving the respiratory signal and the spatial signal at the processor subsystem;

comparing, with the processor subsystem, the spatial signal and the distance signal to respective benchmark spatial and benchmark distance signals to assess respiratory and spatial characteristics of the subject.

30. The method of claim 29, further comprising generating a physiological signal representative of a physiological parameter of the subject and transmitting the physiological signal to a processor subsystem;

31. The method of claim 29, further comprising displaying a representation of the respiratory parameter.

32. The method of claim 29, further comprising:

processing the respiratory signal to obtain a signal which is representative of a respiratory parameter of the subject, and comparing the respiratory parameter to a plurality of stored respiratory benchmarks; and

generating and transmitting a status signal in response to a determination that respiratory parameter corresponds to one of the stored respiratory benchmarks.

33. The method of claim 32, wherein the plurality of stored respiratory benchmarks comprise at least one of adverse fitness states and fitness goals.

34. The method of claim 29, further comprising:

determining a respiratory activity of the subject based on the respiratory signal; and

generating and transmitting a respiratory activity signal representative of the respiratory activity.

35. The method of claim 29, further comprising:

comparing the orientation of the body part to a plurality of stored spatial benchmarks; and

generating and transmitting a status signal in response to a determination that the orientation of the body part corresponds to one of the stored spatial benchmarks.

36. The method of claim 35, wherein the plurality of stored spatial benchmarks comprises at least one of adverse fitness states and fitness goals.

37. The method of claim 29, further comprising:

determining at least one fitness activity of the subject based on the spatial signal; and

generating and transmitting a spatial activity signal representative of the spatial activity.

38. The method of claim 29, further comprising generating a three-dimensional spatial model of the orientation and movement of the subject based on the spatial signal.

39. The method of claim 30, further comprising:

comparing the physiological signal to a plurality of stored physiological benchmarks; and

generating and transmitting a status signal in response to a determination that the physiological signal corresponds to one of the stored physiological benchmarks.

40. The method of claim 39, wherein the plurality of stored physiological benchmarks comprises at least one of adverse fitness states and fitness goals.

41. The method of claim 29, wherein the spatial signal further represents movement of a body part of the subject.