Compressed Sensing Approach for Physiological Signals: A Review

The immense progress in physiological signal acquisition and processing health monitoring allowed a better understanding of patient disease detection diagnosis. With the increase data volume power consumption, effective compression, acquisition, transmission, techniques are essential, especially telemonitoring healthcare applications. An emerging research area focuses on integrating compressed sensing (CS) with signals to deal massive amount data, transmission bandwidth, power-saving purposes. A review CS for is presented this article, including electroencephalography (EEG), electrocardiography (ECG), electromyography (EMG), electrodermal activity (EDA), focusing pros cons treating such suitability hardware implementation. Furthermore, we emphasize performance matrices, as compression ratio (CR), signal-to-noise (SNR), Percentage Root-mean-square Difference (PRD), time evaluate CS. We also investigate current practices, challenges, opportunities using