Characterizing repeater F waves using the compound muscle action potential scan and machine learning techniques

This study provides normative data for RFws based on the CMAP scan recording and identifies different characteristics of repeaters between APB and ADM muscles. Findings of the study improve understanding of motoneuron physiological properties in hand muscles. The CMAP scan-based F wave analysis can be combined with motor unit number estimation technique to provide insights into surviving motoneuron function in neurological disorders.

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Publication Details

Journal
Neurophysiologie Clinique
Published
2025-05-08
DOI
https://doi.org/10.1016/j.neucli.2025.103076
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
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article

Characterizing repeater F waves using the compound muscle action potential scan and machine learning techniques

Marek Čierny, Ping Zhou, Maoqi Chen, Sanjeev D. Nandedkar et al.
Neurophysiologie Clinique
Muscle activation and electromyography studies
article

Characterizing repeater F waves using the compound muscle action potential scan and machine learning techniques

Marek Čierny, Ping Zhou, Maoqi Chen, Sanjeev D. Nandedkar, Caitlin Moore, Paul E. Barkhaus, Xiaoyan Li
article en

Abstract

This study provides normative data for RFws based on the CMAP scan recording and identifies different characteristics of repeaters between APB and ADM muscles. Findings of the study improve understanding of motoneuron physiological properties in hand muscles. The CMAP scan-based F wave analysis can be combined with motor unit number estimation technique to provide insights into surviving motoneuron function in neurological disorders.

Neurophysiologie CliniqueVol. 55(5)
Medical College of Wisconsin (US), China Rehabilitation Research Center (CN), University of Maryland, College Park (US)
Openalex Percentile: Top 91%
Muscle activation and electromyography studies
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