Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
نویسندگان
چکیده
منابع مشابه
Decoding the neural drive to muscles from the surface electromyogram.
This brief review discusses the methods used to estimate the neural drive to muscles from the surface electromyogram (EMG). Surface EMG has been classically used to infer the neural activation of muscle by associating its amplitude with the number of action potentials discharged by a population of motor neurons. Although this approach is valuable in some applications, the amplitude of the surfa...
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Identifying finger and wrist flexion based actions using single channel surface electromyogram have a number of rehabilitation, defence and human computer interface applications. These applications are currently infeasible because of unreliability in classification of sEMG when the level of muscle contraction is low and when there are multiple active muscles. The presence of noise and cross-tal...
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Although speech is the most natural means for communication among humans, there are situations in which speech is impossible or inappropriate. Examples include people with vocal cord damage, underwater communications or in noisy environments. To address some of the limitations of speech communication, nonacoustic communication systems using surface electromyogram signals have been proposed. How...
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The complex task of assessing the veracity of a statement is thought to activate uniquely distributed brain regions based on whether a subject believes or disbelieves a given assertion. In the current work, we present parallel machine learning methods for predicting a subject's decision response to a given propositional statement based on independent component (IC) features derived from EEG and...
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ژورنال
عنوان ژورنال: Journal of NeuroEngineering and Rehabilitation
سال: 2010
ISSN: 1743-0003
DOI: 10.1186/1743-0003-7-53