Wearable Biorhythm Determination Using Sleep Sensor Data
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Solution Overview
Problem
Current methods for determining biorhythms in women of childbearing age are limited by reliance on fixed day calculations or body temperature measurements, which can be influenced by psychological factors and require additional sensor equipment.
Innovation Solution
An electronic device with a sensor module, processor, and memory that acquires sleep information to determine biorhythms, eliminating the need for a separate body temperature sensor and providing more accurate measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If body temperature measurements are used to determine biorhythms, then biorhythm determination is possible, but additional temperature sensor equipment is required
Solution Approach 1:
The patent combines multiple sensor functions into a single wearable device that monitors both temperature and motion/activity data. The sensor module integrates temperature sensing with motion sensing capabilities, eliminating the need for separate dedicated temperature monitoring devices while maintaining reliable biorhythm determination through multi-parameter analysis
Solution Approach 2:
The wearable device performs multiple functions including temperature monitoring, motion tracking, and biorhythm calculation. By making the device universal and multi-functional, it reduces overall system complexity as one device replaces what would otherwise require multiple separate sensors and systems
2Ease of operation
If fixed day calculations are used to determine biorhythms, then the method is simple, but accuracy deteriorates due to psychological factor influences
Solution Approach 1:
The system continuously collects real-time temperature and motion data, processes this information, and uses the results to dynamically adjust and refine biorhythm predictions. This feedback loop allows the system to maintain simplicity in user interaction while significantly improving accuracy by adapting to individual physiological patterns and reducing the impact of psychological factors
Solution Approach 2:
Instead of relying on fixed calendar-based calculations, the system changes the underlying parameters from static date additions to dynamic physiological measurements. By using actual temperature variations and motion patterns as parameters, the system maintains ease of use while achieving superior measurement precision that accounts for individual variability and psychological influences
3Measurement precision
If sleep information is used to determine biorhythms, then measurement accuracy is improved, but the device requires sensor module and processing capabilities
Solution Approach 1:
The wearable device autonomously collects sleep-related data through its sensors, automatically processes this information to determine biorhythms, and provides results without requiring manual input or external processing equipment. The device serves itself by integrating sensing, processing, and analysis functions, thereby improving measurement precision while keeping the overall system compact and self-contained
Data Source
AI summary
According to certain embodiments, an electronic device comprises: a sensor module; a processor operatively connected to the sensor module; and a memory operatively connected to the processor, wherein the memory stores instructions that, when executed, cause the processor to perform a plurality of operations comprising: acquiring sensor information through the sensor module, determining sleep information of a user, based on the sensor information, and determining a biorhythm of the user, based on the sleep information.