Reply to De Luca, Nawab, and Kline: The proposed method to validate surface EMG signal decomposition remains problematic

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Reply to De Luca, Nawab, and Kline: The proposed method to validate surface EMG signal decomposition remains problematic.

Dario Farina, Roberto Merletti, and Roger M. Enoka Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, University Medical Center Göttingen, Georg-August University, Göttingen, Germany; Laboratory for Engineering of the Neuromuscular System, Department of Electronics and Telecommunications, Politecnico di Tori...

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Acquisition and Decomposition of the EMG Signal

In this chapter we refer to the decomposition of the myoelectric (ME) signal as the procedure by which the ME signal is separated into its constituents motor units action potential trains (MUAPTs). This concept is illustrated in Figure 1. The development of a system to accomplish such a decomposition will be beneficial to both researchers interested in understanding motor unit properties and be...

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Preferred sensor sites for surface EMG signal decomposition.

Technologies for decomposing the electromyographic (EMG) signal into its constituent motor unit action potential trains have become more practical by the advent of a non-invasive methodology using surface EMG (sEMG) sensors placed on the skin above the muscle of interest (De Luca et al 2006 J. Neurophysiol. 96 1646-57 and Nawab et al 2010 Clin. Neurophysiol. 121 1602-15). This advancement has w...

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Surface EMG decomposition requires an appropriate validation.

TO THE EDITOR: A major constraint in the analysis of motor unit activity in humans is that relatively few active motor units can be detected concurrently due to the high selectivity of needle electrodes commonly used for electromyographic (EMG) recordings. Furthermore, the accurate decomposition of intramuscular EMG signals is usually not possible at high muscle forces due to the many motor uni...

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Clarification of methods used to validate surface EMG decomposition algorithms as described by Farina et al. (2014).

TO THE EDITOR: We are compelled to clarify some points made by Farina et al. (1). In a previous exchange of letters Farina et al. sought that we “decompose a set of synthetic surface EMG signals that we [Farina et al.] generate with a model” to provide a convincing validation of our sEMG decomposition algorithm. They now state that the use of simulated signals is “more limited than an experimen...

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ژورنال

عنوان ژورنال: Journal of Applied Physiology

سال: 2015

ISSN: 8750-7587,1522-1601

DOI: 10.1152/japplphysiol.00107.2015