Classification of Anticipatory Signals for Grasp and Release from Surface Electromyography
نویسندگان
چکیده
منابع مشابه
Classification of Anticipatory Signals for Grasp and Release from Surface Electromyography
Surface electromyography (sEMG) is a technique for recording natural muscle activation signals, which can serve as control inputs for exoskeletons and prosthetic devices. Previous experiments have incorporated these signals using both classical and pattern-recognition control methods in order to actuate such devices. We used the results of an experiment incorporating grasp and release actions w...
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Aim of this study is the easy and low-cost classification of basic hand grasp motions. For this aim, two sEMG sensors were placed on the forearm muscles. The reason is that to place the sensors on two forearm muscles is a low-cost and easy method. Also these forearm muscles are related with grasp motions. At first stage of the study, feature extraction methods were applied to the energy values ...
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15 صفحه اولSurface Electromyography Signal Processing and Classification Techniques
Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more. However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance in the above applications. Detection, processing and classification analysis in electromyography...
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Background: Surface Electromyography (SEMG) signal has used in monitoring muscle activities. It has been widely applied in many areas, such as body member prosthesis, noise cancellation for braincomputer interface, and robotics. The SEMG acquisition method for collecting the signal with low-noise has extensively investigated in the last decade. The objective of this study is to review the recen...
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ژورنال
عنوان ژورنال: Sensors
سال: 2016
ISSN: 1424-8220
DOI: 10.3390/s16111782