Wearable Sensor Resting State Detection for Heart Rate Accuracy
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Solution Overview
Problem
Existing wearable electronic devices face challenges in accurately and efficiently measuring a user's resting heart rate without requiring the user to remain still, and they consume significant battery power when continuously monitoring heart rate.
Innovation Solution
A wearable electronic device equipped with a first sensor to detect movement and a second sensor to measure biological signals, which automatically determines a user's resting state by analyzing movement patterns and activates the biological signal sensor only during this state, reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the biological signal sensor is continuously activated to measure heart rate, then measurement accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic measurement by activating the biological signal sensor only during detected resting periods rather than continuous operation. The processor periodically checks movement sensor data to identify resting states, then activates the biological signal sensor only during these periods, achieving accurate resting heart rate measurement while significantly reducing overall power consumption compared to continuous monitoring.
2Measurement precision
If the user remains still for measurement to ensure accuracy, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically detects the user's resting state through movement sensor data without requiring manual input or user action. The processor autonomously identifies when the user is at rest by analyzing movement patterns, automatically activates the biological signal sensor, and performs measurement, eliminating the need for users to manually initiate measurements or consciously remain still.
Solution Approach 2:
The patent replaces the mechanical requirement for user stillness with an automated sensor-based detection system. Instead of relying on the user to physically remain still and manually start measurement, the movement sensor and processor automatically detect resting conditions through acceleration data analysis, substituting the mechanical user action with an automated sensing and control system.
3Measurement precision
If continuous heart rate monitoring is performed to address measurement issues, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs heart rate measurement periodically only during detected resting periods rather than continuously throughout the day. The processor monitors movement sensor data continuously at low power, identifies resting states, and triggers biological signal measurement only during these periods, achieving accurate resting heart rate data collection without requiring the user to dedicate significant continuous time to the measurement process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device enables accurate measurement of resting heart rate without the need for user intervention, reduces battery consumption by activating sensors only during rest periods, and provides reliable biological data for health monitoring.
Implementation Method 1
a first sensor configured to sense a movement of the electronic device
Implementation Method 2
a second sensor configured to sense a biological signal for a user wearing the electronic device
Data Source
AI summary
According to an embodiment of the present disclosure, there is a wearable electronic device, comprising: a first sensor configured to sense a movement of the electronic device; a second sensor configured to sense a biological signal for a user wearing the electronic device; and a processor configured to compute a movement value of the electronic device using the first sensor, to detect a resting state when the movement value lasts within a predetermined first threshold range during a first time period, and to configure biological information of the user based on a biological signal measured after detection of the resting state.