Heart Rate Detection Using Motion-Adaptive Interval Tracking
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Solution Overview
Problem
Conventional methods for detecting heart rate in wearable devices face interference and signal distortion due to human body motion during exercise, leading to inaccurate readings.
Innovation Solution
A method utilizing a photodetector module, motion detector, and Fast Fourier Transform (FFT) module to acquire and process heart rate signals, defining sport intervals and applying an interval tracking algorithm to filter out noise and accurately determine heart rate during exercise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If photodetector module is used to detect heart rate through photoplethysmography, then heart rate detection is enabled in wearable devices, but motion-induced noise and signal distortion occur during exercise
Solution Approach 1:
The patent introduces motion detection as an intermediary function to identify motion states, which then triggers appropriate signal processing strategies. The motion detector acts as a mediator between the raw PPG signal and the heart rate calculation, enabling the system to adapt its processing based on detected motion levels and select the most appropriate peak detection method.
Solution Approach 2:
The patent dynamically changes processing parameters based on motion state. When motion is detected, the system adjusts the peak detection algorithm, signal filtering parameters, and analysis window settings to compensate for motion-induced artifacts. This parameter adaptation allows accurate heart rate measurement across varying motion conditions.
2Device complexity
If conventional peak detection methods are used on PPG signals during exercise, then processing is simple, but serious distortion of detected heart rate occurs
Solution Approach 1:
The patent implements dynamic signal processing that adapts to real-time motion conditions. The system continuously monitors motion state and dynamically adjusts the peak detection strategy, switching between different algorithms and parameters based on the current exercise intensity and motion pattern, thereby maintaining accuracy without requiring overly complex fixed processing.
Solution Approach 2:
The system incorporates feedback mechanisms where detected motion information feeds back into the signal processing pipeline. This feedback loop allows the system to continuously refine its peak detection approach based on actual motion conditions, improving heart rate measurement accuracy while keeping the overall system architecture manageable.
3Measurement precision
If motion detection and interval tracking algorithms are applied, then accurate heart rate detection during exercise is achieved, but device complexity increases
Solution Approach 1:
The patent segments the signal processing into distinct functional modules: motion detection module, PPG signal acquisition module, peak detection module, and heart rate calculation module. This segmentation allows each module to be optimized independently and facilitates efficient implementation in wearable devices with limited processing power while maintaining high measurement accuracy.
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 method effectively filters out motion-induced noise and maintains accurate heart rate detection even during physical activity, comparable to conventional electrocardiography (ECG) methods.
Implementation Method 1
the signal is measured by recording and sensing the energy variation of light using photoplethysmography (PPG)
Data Source
AI summary
A method for detecting a heart rate is disclosed and includes: providing a photodetector module, a motion detector and a Fast Fourier Transform (FFT) module; acquiring a first heart rate using the photodetector module and the FFT module; sampling at different time intervals and generating a frame using the motion detector and the FFT module, wherein the frame has a first plurality of peaks and a first plurality of indexes corresponding to the first plurality of peaks, and a plurality of sport intervals are defined by the first plurality of indexes; and acquiring a present heart rate by applying an interval tracking algorithm to the first heart rate and the plurality of sport intervals generated from the sampling at different time intervals.