Method and Apparatus for Generating Assessments Using Physical Activity and Biometric Parameters
3 Assignments
0 Petitions
Accused Products
Abstract
The methods and apparatuses presented herein determine and/or improve the quality of one or more physiological assessment parameters, e.g., response-recovery rate, based on biometric signal(s) and/or motion signal(s) respectively output by one or more biometric and/or motion sensors. The disclosed methods and apparatuses also estimate a user'"'"'s stride length based on a motion signal and a determined type of user motion, e.g., walking or running. The speed of the user may then be estimated based on the estimated stride length.
53 Citations
49 Claims
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1-26. -26. (canceled)
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27. An assessment generation system configured to determine a physiological assessment parameter associated with a user using an activity monitoring device comprising at least one biometric sensor and at least one motion sensor, wherein the biometric sensor is at least partially proximal to at least some skin of the user, the system comprising one or more processing circuits configured to:
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process a motion signal output by the motion sensor over a first period of time to determine a targeted time period comprising at least one active portion and at least one recovery portion; process a biometric signal output by the biometric sensor over the first period of time to determine a biometric parameter for the user over the first period of time; determine a response biometric parameter for the user using the biometric signal output by the biometric sensor during the at least one active portion of the targeted time period; determine a recovery biometric parameter for the user using the biometric signal output by the biometric sensor during the at least one recovery portion of the targeted time period; and compute a slope of the recovery biometric parameter versus the response biometric parameter associated with the targeted time period. - View Dependent Claims (28, 29, 30)
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31. An assessment generation system configured to assess a fitness level of a subject, the system comprising one or more processing circuits configured to:
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measure an average heart rate of the subject with a heart rate sensor worn by the subject over a period of time; measure an average cadence of the subject with a cadence sensor worn by the subject over the period of time; and calculate a ratio of the average heart rate to the average cadence with a processor operatively coupled to the heart rate sensor and the cadence sensor. - View Dependent Claims (32, 33)
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34. An assessment generation system configured to determine a physiological assessment parameter associated with a user using a wearable activity monitoring device comprising at least one biometric sensor and at least one motion sensor, wherein the biometric sensor is at least partially proximal to at least some skin of the user and is configured to measure blood flow information from the user, the system comprising one or more processing circuits to:
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process a motion signal output by the motion sensor over a first period of time to determine a physical activity parameter for the user over the first period of time; process a biometric signal output by the biometric sensor over the first period of time to determine a biometric parameter for the user over the first period of time; process the physical activity parameter to determine one or more time periods wherein the physical activity parameter is within a specific range of values; process the biometric parameter during the time periods wherein the physical activity parameter is within the specific range of values to determine the physiological assessment parameter for the user. - View Dependent Claims (35, 36, 37, 38, 39, 40, 41, 42)
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43. An assessment generation system configured to evaluate an exercise activity comprising one or more sets of exercise repetitions performed by a user via at least one biometric sensor and at least one motion sensor comprised in a wearable monitoring device, the assessment generation system comprising:
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one or more processing circuits configured to; process a motion signal output by the at least one motion sensor and a biometric signal output by the at least one biometric sensor to identify a type of the exercise activity; process the motion signal using the identified exercise activity to determine an exercise cadence; process the biometric signal using the identified exercise activity to determine at least one biometric parameter; wherein the one or more processing circuits are further configured to estimate at least one of; a number of repetitions of the identified exercise activity using an integral of the exercise cadence; and a number of sets of the identified exercise activity using a time-dependent change of the at least one biometric parameter. - View Dependent Claims (44)
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45. An assessment generation system configured to determine a blood pressure characteristic of a user using a device comprising a photoplethysmography sensor and a motion sensor, wherein the photoplethysmography sensor is proximal to at least some skin of the user, the assessment generation system comprising one or more processing circuits configured to:
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screen data from the motion sensor to determine an integrity of data from the photoplethysmography sensor; buffer a plurality of pulses, at least some of the buffered pulses having integrity; generate an average pulse shape using the buffered plurality of pulses; and determine the blood pressure characteristic using a waveform representation of the average pulse shape. - View Dependent Claims (46, 47, 48)
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49. An assessment generation system configured to determine a blood pressure characteristic of a user using a device comprising a photoplethysmography sensor and a motion sensor, wherein the photoplethysmography sensor is proximal to at least some skin of the user, the system comprising a processing circuit configured to:
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screen data from the motion sensor to determine an integrity of data from the photoplethysmography sensor; process the data from the photoplethysmography sensor, at least some processed data having integrity, to generate an average pulse shape; compute at least one of an integral of the average pulse shape and a derivative of the average pulse shape; and determine the blood pressure characteristic using the average pulse shape and at least one of the integral and the derivative.
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Specification