Biometric Sampling Manager With Dynamic Window Configuration
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Solution Overview
Problem
Existing biometric data sampling technologies lack flexibility in sampling process control, leading to potential time delays and inaccuracies in physiological parameter determination due to differing sampling window durations for different physiological signals.
Innovation Solution
A method and apparatus for sampling biometric data that determines a sampling configuration based on a preset rule for each sampling time slot within a refresh period, allowing for flexible control of sampling channels to obtain sample data, thereby improving the precision and adaptability of biometric data sampling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If different sampling window durations are used for different physiological signals, then each signal can be sampled at its optimal rate, but relative time delays occur between different physiological signals
Solution Approach 1:
The patent implements dynamic sampling window adjustment where the sampling window duration is no longer fixed but adapts based on the specific physiological signal being measured. The system dynamically configures sampling parameters for different channels (PPG, ECG, EMG, EEG) to match their respective optimal sampling rates while maintaining temporal alignment through coordinated control of multiple sampling channels within a unified sampling manager.
Solution Approach 2:
The system changes the sampling window duration parameter dynamically depending on the physiological signal type. Different physiological signals (photoplethysmography, electrocardiogram, electromyogram, electroencephalogram) are assigned different sampling window durations optimized for their specific characteristics, allowing each signal to be sampled at its optimal rate while the system compensates for temporal misalignment through parameter adjustment and synchronization mechanisms.
2Reliability
If fixed sampling windows are used for all physiological signals, then time alignment is maintained, but sampling flexibility and adaptability are reduced
Solution Approach 1:
The patent segments the sampling process into multiple independent sampling channels, each capable of operating with its own optimized sampling window duration. Instead of using a single unified sampling window for all signals, the system divides sampling into separate channels (PPG sampling channel, ECG sampling channel, EMG sampling channel, EEG sampling channel), each with configurable sampling parameters that can be independently adjusted while maintaining overall system coordination through the sampling manager.
3Quantity of substance
If multi-channel sampling is implemented, then comprehensive biometric data is obtained, but sampling process control complexity increases
Solution Approach 1:
The patent implements a universal sampling manager that handles multiple sampling channels through a unified control interface and standardized configuration mechanism. The sampling manager provides multi-functional capabilities to manage PPG, ECG, EMG, and EEG sampling channels simultaneously, using a common sampling rule database and unified control logic that reduces the complexity of managing multiple sampling operations while maintaining comprehensive biometric data acquisition.
Data Source
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AI summary
The present disclosure provides a method for sampling biometric data, a sampling and managing apparatus thereof, an apparatus for detecting biometric data, and an electronic device. The method for sampling biometric data includes: determining, based on a preset sampling rule, a sampling configuration corresponding to a sampling time slot in a sampling refresh period, the sampling refresh period including a plurality of the sampling time slots (S201); and controlling, based on the sampling configuration corresponding to the sampling time slot in the sampling refresh period, a sampling channel corresponding to the sampling time slot to sample a target signal to obtain sample data (S202) associated with the biometric data, thereby improving the flexibility in sampling process control.