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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25806

Title: Computer-based clinical instrumentation for processing and analysis of electroneuromyographic signals in the upper limb
Authors: Nazeran, Homer
Jaberzadeh, Shapour
Behbehani, Khosrow
Keywords: Biomedical engineering
Computerised instrumentation
Electromyography
Signal processing
Issue Date: 2001
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Nazeran, H., Jaberzadeh, S. and Behbehani, K. 2001. Computer-based clinical instrumentation for processing and analysis of electroneuromyographic signals in the upper limb. 2001 Proceedings of the 23rd Annual Engineering in Medicine and Biology Society (EMBS) International Conference, vol. 2, 1131 - 1134.
Abstract: A computer-based clinical instrument was developed to simultaneously acquire, process, display, quantify and correlate electroneuromyographic (ENMG) activity in the upper limb in humans. This system was designed around AMLAB® analog modules and software objects called ICAMs. The system consists of a nerve stimulator block, a time domain, EMG block with evoked response averaging capability, a counter block and a data storage and retrieval block. This system has been designed to study the H-reflex and M-response in the upper limb of normal subjects and Carpal Tunnel Syndrome (CTS) patients. It could be easily modified to acquire, process and analyze the ENMG signals in other parts of the human body to assess the continuity and function of the sensory and motor pathways. In this paper, we present an integrated system to simultaneously measure and analyze the electroneuromyographic activities in the upper limb.
URI: http://hdl.handle.net/2328/25806
ISSN: 1094-687X
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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