Wearable Exercise Load Estimation for Personalized Cardiac Rehab
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Solution Overview
Problem
Conventional systems for exercise therapy in cardiac rehabilitation fail to provide personalized exercise load information and guidance based on individual body function and daily physical condition, leading to ineffective exercise planning and safety concerns.
Innovation Solution
An information processing system comprising a client apparatus, server, and wearable device that estimates exercise load amounts and calculates individual difference parameters using sensing data, allowing for personalized exercise event recommendations and monitoring of body function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional feedback control is used to adjust exercise load based on ventilatory threshold, then exercise load can be controlled to approach VT, but personalized exercise load information and guidance cannot be provided due to lack of individual body function data
Solution Approach 1:
The patent implements feedback control by continuously monitoring exercise load and comparing it against the calculated anaerobic threshold to provide real-time guidance for maintaining optimal exercise intensity near VT
Solution Approach 2:
The system enables self-monitoring and self-adjustment of exercise load by providing users with personalized feedback based on their individual anaerobic threshold calculations, allowing them to independently manage their exercise therapy
2Adaptability or versatility
If generic exercise load control is applied without individualization, then system complexity is reduced, but exercise therapy effectiveness decreases due to lack of personalization
Solution Approach 1:
The system calculates individualized anaerobic threshold parameters based on measured data and uses these parameters to personalize exercise load recommendations, enabling adaptation to each user's specific body function characteristics
Solution Approach 2:
The system performs preliminary calculation of the anaerobic threshold before exercise therapy begins, using this pre-calculated value to guide subsequent exercise load adjustments and personalization
3Measurement precision
If CPX test with exhaled gas analysis is used to determine anaerobic threshold, then accurate exercise tolerance evaluation is achieved, but measurement complexity and time consumption increase
Solution Approach 1:
The patent extracts the essential measurement components needed for anaerobic threshold determination and implements a simplified measurement approach that captures sufficient data without requiring the full complexity of traditional CPX testing with exhaled gas analysis
Data Source
AI summary
An information processing apparatus includes processing circuitry configured to: estimate a first exercise load amount when a first user is performing a target exercise event, based on sensing data relating to the first user; determine a first individual index of the first user of an exercise load amount for the target exercise event by performing a predetermined calculation on the first exercise load amount; and calculate a first parameter representing a characteristic of the first user relating to an exercise tolerance, based on the first individual index and a reference value of the exercise load amount for the target exercise event.