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This paper proposes an efficient method for extraction of heart rate (HR) and heart rate variability (HRV) information from compressively sampled photoplethysmogram (PPG) signals. The proposed approach utilizes Lomb-Scargle periodogram to perform Least-squares spectral analysis to extract the spectral content from compressively sampled PPG signals. The spectrum thus obtained is used to estimate the...
This paper presents a computationally-efficient compressive sampling system for photoplethysmogram (PPG) signals. The approach relies on the exploration of the Discrete Cosine Transform (DCT) as sparsifying basis for reconstruction of randomly sampled signals, along with an overlapped window reconstruction algorithm which improves reconstruction accuracy of shorter windows, without sacrificing reconstruction...
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