An Improved Method of Heart Rate Extraction Algorithm Based on Photoplethysmography for Sports Bracelet

Heart rate measurement employing photoplethysmography (PPG) is a prevalent technique for wearable devices. However, the acquired PPG signal often contaminated with motion artifacts, which need to be accurately removed. In cases where and accelerometer (ACC) spectra overlap at actual heart rate, traditional discrete Fourier transform (DFT) algorithms fail compute accurately. This study proposed an enhanced extraction algorithm based on address issue of ACC spectral overlap. The assessed according morphological characteristics both spectra. Upon detecting overlap, singular spectrum analysis (SSA) employed calculate given time. SSA effectively resolves by removing artifacts through elimination ACC-related time series in signal. Experimental results reveal that accuracy surpasses DFT method 19.01%. makes up deficiency posed artifact conventional significantly improves accuracy.