Biometric Sensor Time Synchronization via Periodic Markers
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Solution Overview
Problem
Digital signal collecting systems face challenges in maintaining accurate time synchronization between different biometric signals, such as ECG and PPG, due to varying sampling frequencies and errors in system design, leading to increasing time differences over time, especially during long-term continuous signal collection.
Innovation Solution
An electronic device with a communication module, memory, and processor that transmits synchronization signals to sensor devices, detects synchronization markers, calculates the required time between markers, and corrects sampling information to ensure accurate time synchronization between different sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital signal collecting systems use different sampling frequencies for various biometric signals, then signal collection flexibility is improved, but time synchronization accuracy deteriorates over time
Solution Approach 1:
The patent implements periodic time synchronization by detecting synchronization markers at regular intervals during continuous signal collection. The processor periodically identifies synchronization markers in received sensor data and corrects time differences, ensuring that time synchronization accuracy is maintained throughout long-term monitoring while still allowing different sampling frequencies for various biometric signals.
2Device complexity
If time synchronization is performed only at the start of signal collection, then system complexity is reduced, but time synchronization accuracy deteriorates during long-term collection
Solution Approach 1:
The patent employs a feedback mechanism where the processor continuously detects synchronization markers in the sensor data stream and uses this information to calculate and correct time differences. This closed-loop approach automatically maintains time synchronization accuracy throughout continuous signal collection without requiring manual intervention or complex pre-configured synchronization schedules.
Solution Approach 2:
The system performs self-correction of time synchronization by automatically detecting synchronization markers and adjusting time differences without external intervention. The processor autonomously identifies when time drift occurs and applies corrections based on the detected synchronization markers, enabling the system to maintain accuracy independently during long-term operation.
3Measurement precision
If synchronization markers are detected continuously, then time synchronization accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent extracts only the essential synchronization marker information from the continuous sensor data stream rather than processing all data points. The processor identifies specific synchronization markers that indicate known time references and uses only these extracted points for time difference calculation, significantly reducing processing complexity while maintaining synchronization accuracy.
Data Source
AI summary
An electronic device is provided. The electronic device includes a communication module, a memory, and a processor operatively connected to the communication module and the memory, the processor is configured to transmit a synchronization signal for generating a synchronization marker to a first sensor device and a second sensor device, receive and store first sensor data, receive and store second sensor data, select reference data serving as a reference from among the first sensor data and the second sensor data, detect the synchronization marker, calculate a required time between synchronization markers of the reference data based on stored sampling information of the reference data and positions of the synchronization marker included in the reference data, and correct and store sampling information of the remaining sensor data other than the reference data.


