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An ECG is a graphic produced by an electrocardiograph that shows its significance in heart disease diagnostics, Bio-metric authentication, Human Computer Interface (HCI), etc. by recording the electrical activity of heart with respect to time. In each application noise elimination is initial step. Normally, the ECG signal is highly sensitive as it varies a lot with time. It is mainly corrupted by...
A system-on-chip allowing dynamic measurement and processing of the most important human physiological parameters has been presented. The BioChip consists of analog front-ends, analog to digital converters and a two core 32-bit microcontroller Azurite. The two core architecture allows to control the signals' acquisition, data processing and communication with the peripherals simultaneously. The microcontroller...
Electroencephalogram (EEG) is the neurophysiologic measurement of the electrical action of the brain, acquired by recording from electrodes located on the scalp. EEG is a vital clinical tool for diagnosing, monitoring and managing neurological disorders. EEG signal is contaminated with various artifacts such as Electroocculogram (EOG), Electrocardiogram (ECG) and Electromyogram (EMG). In this paper,...
Extracting the diaphragmatic electromyogram (EMG) signal is the key to manufacture the breathing machine in synchrony with patient. However, the diaphragmatic EMG signal is immerged in the electrocardiogram (ECG) signal. The mixed signals composed of EMG signal and ECG signal are obtained from the platform of EMG signal acquisition. Hence, extracting the diaphragmatic EMG signal perfectly is a difficult...
Surface electromyography (sEMG) recorded from the trunk area may reflect underlying muscular function, and is the current standard for in vivo functional examination. However, sEMG of this area, including the low back musculature, usually encounters substantial interference from strong cardiac signals. It is therefore imperative to remove electrocardiogram (ECG) interference from sEMG data. This paper...
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