Effort classification based on activity and oxygen uptake
Inventors
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Assignees
MemberPear Health LabsPear Health LabsPear Health Labs develops digital health and fitness software for organizations. Its platforms combine health protocols, assessments, biometric and wearable data, and user feedback to provide adaptive exercise, nutrition, recovery, and wellness guidance. The company also describes integrations with mobile and web applications, electronic health records, and wearable devices. Applications include general wellness, healthy aging, Medicare fitness programs, GLP-1 treatment support, musculoskeletal health, maternal and postpartum health, and military readiness.
Pear Health Labs develops digital health and fitness software for organizations. Its platforms combine health protocols, assessments, biometric and wearable data, and user feedback to provide adaptive exercise, nutrition, recovery, and wellness guidance. The company also describes integrations with mobile and web applications, electronic health records, and wearable devices. Applications include general wellness, healthy aging, Medicare fitness programs, GLP-1 treatment support, musculoskeletal health, maternal and postpartum health, and military readiness.
Publication Number
US-11769158-B1
Publication Date
2023-09-26
Expiration Date
Abstract
A non-transitory memory component including software that, upon execution by a processor, perform operations to classify an activity performed by a user. First, the software receives activity data pertaining to an activity being performed by a user. The activity data may include one or more parameters associated with the activity including steps and time. Thereafter, a step rate is calculated based on the activity data, an activity is determined based on the calculated step rate, and an effort is determined in terms of cardiovascular intensity based, at least in part, on the calculated step rate. An appropriate effort threshold of determined cardiovascular intensity is identified based on oxygen uptake threshold. After, an activity type is classified using the effort and the activity.
Core Innovation
The invention provides a system and method for analyzing an activity being performed by a user by receiving activity data and using that activity data to classify an activity type. The activity data includes parameters associated with the activity, including steps and time, and can include more than one monitored parameter from one or more activity monitoring devices. A step rate is calculated based on the activity data, and an activity is determined based on the calculated step rate.
The invention determines an effort of the user in terms of cardiovascular intensity and identifies an appropriate effort threshold of the determined cardiovascular intensity based on an oxygen uptake threshold. In related embodiments, the threshold criteria include a threshold criteria related to one or more parameters and is based at least in part on an indirect or inferred measure of oxygen uptake. Effort is determined, and resistance experienced by the user is determined using analytics conducted on parameters of the activity.
The invention classifies the activity as an activity type based on the relationship between effort and the activity, or based on resistance experienced by the user and the effort of the user. In multi-parameter embodiments, the first monitored parameter comprises a step rate based on a rate of motion, and the second monitored parameter differs from the first; classification is performed when a first threshold criterion and a second threshold criterion are satisfied.
Claims Coverage
The independent claims cover three frameworks for activity analysis and activity-type classification using step-rate and oxygen-uptake-based effort thresholds, and in two claims also using user resistance derived from additional monitored parameter information. Across the independent claims, the inventive features rely on threshold criteria related to oxygen uptake, including indirect or inferred oxygen uptake, and classification of an activity type based on effort and, when applicable, resistance.
Non-transitory memory component for step-rate and oxygen-uptake-threshold effort classification
A non-transitory memory component including software executed by a processor that receives activity data including steps and time, calculates a step rate, determines an activity based on the step rate, determines an effort in terms of cardiovascular intensity based at least in part on the step rate, identifies an appropriate effort threshold based on an oxygen uptake threshold, and classifies an activity type using the effort and the activity.
Method analyzing activity using inferred oxygen uptake threshold and resistance
A method of analyzing activity comprising receiving activity data for an activity, retrieving a set of threshold criteria including a threshold criteria based at least in part on an indirect or inferred measure of oxygen uptake, determining an effort associated with the activity data, determining a resistance experienced by the user based on analytics conducted on at least a first parameter, and classifying the activity as an activity type based on the resistance and the effort using the set of threshold criteria.
Method classifying activity using multi-parameter threshold criteria with step-rate effort and resistance
A method receiving activity data from one or more activity monitoring devices including a first monitored parameter comprising a step rate based on a rate of motion, determining an effort based on the first monitored parameter, determining a resistance based on a second monitored parameter different from the first, and classifying the activity type based on the first monitored parameter satisfying a first threshold criterion and the second monitored parameter satisfying a second threshold criterion.
The independent claims collectively require activity type classification driven by effort determined from step-rate-derived cardiovascular intensity and constrained by an oxygen-uptake-based threshold, with resistance determined from one or more additional parameters and used alongside effort to classify the activity type based on threshold criteria.
Stated Advantages
Provides activity-type classification based on determined effort and an oxygen-uptake threshold.
Enables activity classification based on a combination of effort and resistance derived from analytics and threshold criteria.
Supports classification using first and second monitored parameters satisfying respective threshold criteria.
Documented Applications
Horse training classification system used with activity monitoring parameters including GPS speed/altitude and accelerometer metrics.
Pedometer walking/running classification using step/stride-related metrics and threshold rules.
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