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Traditional hand gesture identification systems require designers to use multiple serial interfaces or multiplexer as tools to record surface Electromyography (sEMG). These ways lead to complicated circuit connection and unreliability of hardware. It is therefore imperative to have good methods to explore a more suitable design choice, which can avoid the problems mentioned above as more as possible...
Electrogastrographic signal (EGG) is considered to be one of the less interesting from both registration and interpretation point of view. There are several reasons of that two facts. EGG presents gastric myoelectrical activity measured by several electrodes attached on the abdomen. Unfortunately the registration procedure does not deliver a pure signal as EGG is usually associated with some interferences...
Electroencephalography (EEG) signals are often contaminated with artifacts arising from many sources such as those with ocular and muscular origins. Artifact removal techniques often rely on the experience of the EEG technician to detect these artifact components for removal. This paper presents the results comparing an automated procedure (AT) against visually (VT) choosing artifactual components...
In this research we used a multi-channel electromyogram acquisition system using programmable system on chip (PSOC) microcontroller from previous work to acquire surface EMG signals. The two channel surface electrodes were used to measure and record EMG signals on forearm muscles. These two channels of EMG signals were performed a blind signal separation by using an independent component analysis...
We developed a multi-channel electromyogram acquisition system using PSOC microcontroller to acquire multi-channel EMG signals. An array of 4 times 4 surface electrodes was used to record the EMG signal. The obtained signals were classified by a back-propagation-type artificial neural network. B-spline interpolation technique has been utilized to map the EMG signal on the muscle surface. The topological...
We develop a multi-channel electromyogram acquisition system base on the programmable system on chip (PSOC) microcontroller to control robotic arm. The array of 4x4 surface electrodes which invents from the low-cost EKG electrodes is used as the input sensor. B-spline interpolation technique has been utilized to map the EMG signal on the muscle surface. The topological mapping of the EMG is then analyzed...
The identification of number of active muscles during a complex action is useful information to identify the action, and to determine pathologies. Biosignals such as surface electromyogram are a result of the summation of electrical activity of a number of sources. The complexity of the anatomy and actions results in difficulty in identifying the number of active sources from the multiple channel...
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