研究目的
Design and implement a robust PPG-based heart rate monitor for fitness and eHealth applications, comparing the performance of devices using modulated and unmodulated light sources.
研究成果
The ML-PPG design offers superior performance with better noise cancellation and higher SNR, making it robust against various noise sources. This design is more suitable for wearable HRM applications in fitness and eHealth.
研究不足
The study is limited to the comparison of two specific PPG-based HRM designs. The practical implementation on a breadboard may introduce additional noise and variability not accounted for in the study. The study does not explore the impact of different anatomical locations for PPG signal acquisition.
1:Experimental Design and Method Selection:
The study compares two PPG-based HRM designs—one using an unmodulated light source (UML-PPG) and another using a modulated light source (ML-PPG). The designs are evaluated based on their noise rejection capabilities and signal quality.
2:Sample Selection and Data Sources:
The study uses a PPG sensor comprised of a low-cost LED and a matching photodetector operating at red light wavelength. The photodiode converts the reflected light into a proportional electrical signal.
3:List of Experimental Equipment and Materials:
The hardware includes LMC6484 Op-Amps, a photodiode, LEDs, and a breadboard for circuit implementation. The software involves MATLAB for digital signal processing.
4:Experimental Procedures and Operational Workflow:
The UML-PPG design uses a constant 5 Volt source for the LED, while the ML-PPG design uses a 1 kHz clock signal. The reflected light is converted into an electrical signal, amplified, and filtered before being processed digitally.
5:Data Analysis Methods:
The performance of both designs is analyzed in terms of noise rejection and signal quality using Fast Fourier Transform (FFT) and time-domain analysis.
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