Compressive sampling of EMG bio-signals

Compressed Sensing of Excitatory Postsynaptic Potential Bio-Signals

“…Many data compression researches have been conducted to achieve the above-mentioned goals in recent years [1][2][3][4][5]. Sriraam and Eswaran [1] compressed EEG obtained from the scalp.…”

“…Sriraam and Eswaran [1] compressed EEG obtained from the scalp. Salman et al [2] restored EMG using convex optimization to reduce energy consumption. Allstot et al [3] conducted a study similar to [2] using ECG signals.…”

“…Salman et al [2] restored EMG using convex optimization to reduce energy consumption. Allstot et al [3] conducted a study similar to [2] using ECG signals. In addition, Hegde et al [4] proposed a compression method by creating a neuronal spike train model.…”

Multi-structural Signal Recovery for Biomedical Compressive Sensing

“…Much literature exists on CS applied to biomedical signal processing, such as magnetic resonance image (MRI), electromyography (EMG), electroencephalography (EEG), electrocardiography (ECG) [2] [3] [13] [14] [15] [16] [17]. However, most papers only exploit the sparsity in one signal domain, while many biomedical signals are sparse in more than one domain.…”

“…Even more generally, some biomedical signals have structural features other than sparsity. For example, some EMG signals are sparse in both time and frequency domains [16] [17]; Multi-channel EMG signals are highly-correlated with each other [18], which can lead to a low-rank structure in the data matrix; MRI data have both a piecewise smooth structure and a low rank structure [2] [10].…”