Method and apparatus for generating assessments using physical activity and biometric parameters
First Claim
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1. An assessment generation system configured to assess a fitness level of a subject, the system comprising one or more processing circuits configured to:
- 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;
wherein the one or more processing circuits are further configured to determine a relative body temperature using the calculated ratio of the average heart rate to the average cadence, wherein the higher the calculated ratio the higher the relative body temperature.
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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.
177 Citations
9 Claims
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1. 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; wherein the one or more processing circuits are further configured to determine a relative body temperature using the calculated ratio of the average heart rate to the average cadence, wherein the higher the calculated ratio the higher the relative body temperature. - View Dependent Claims (2)
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3. 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 (4)
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5. 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 (6, 7, 8)
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9. 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