The paper from V. Rajesh Pamula, Marian Verhelst, Chris Van Hoof and Refet Firat Yazicioglu, witht the title “Computationally-Efficient Compressive Sampling for Low-Power Pulseoximeter System” was presented at the IEEE Biomedical Circuits and Systems Conference (BioCAS 2014), from 22-24 October 2014, in Lausanne, Switzerland.
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 accuracy. Simulation results demonstrate a reduction in CPU execution time by a factor of 2.4 without degradation of reconstruction accuracy compared to a traditional longer window reconstruction approach. This facilitates computationally-efficient, low-latency signal reconstruction.