Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quantifying motor unit loss prior to functional impairment in muscles affected by amyotrophic lateral sclerosis.

Clinical neurophysiology practice·2026
Same author

The contribution of trapezius and sternocleidomastoideus motor evoked potentials in the diagnosis of Amyotrophic lateral sclerosis.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

Significance of Phrenic Nerve Conduction Study in the Electrodiagnosis of Guillain Barré Syndrome.

Journal of the peripheral nervous system : JPNS·2026
Same author

Novel Genetic Insights into Lateral Temporal Lobe Epilepsy: Findings from Whole Exome Sequencing.

Noro psikiyatri arsivi·2026
Same author

Are Epileptic K-Complexes and Small Sharp Spikes During Sleep Clinically Useful in the Evaluation of Epileptic Patients? Important Phenomenology Needs Consideration.

Clinical EEG and neuroscience·2026
Same author

Anterior and posterior parts of diaphragm: A search for the best recording sites and the relevant normative data with surface electrodes.

Ideggyogyaszati szemle·2026

Related Experiment Video

Updated: Jun 16, 2025

CMAP Scan MUNE MScan - A Novel Motor Unit Number Estimation MUNE Method
08:25

CMAP Scan MUNE MScan - A Novel Motor Unit Number Estimation MUNE Method

Published on: June 7, 2018

12.3K

Automated step analysis algorithm for CMAP scan study.

N Tuğrul Artuğ1, Nermin Gorkem Sirin2, Sezin Alpaydın Baslo3

  • 1Department of Electric, Vocational School of Technical Sciences, Istanbul University-Cerrahpasa, Buyukcekmece, Istanbul, Turkey.

Medical Engineering & Physics
|June 13, 2025
PubMed
Summary

A new automated method for analyzing compound muscle action potential (CMAP) scan curves shows good agreement with traditional methods in amyotrophic lateral sclerosis (ALS) patients. This automated analysis is fast and reliable for ALS, aiding in clinical assessments.

Keywords:
ALSCMAP scanElectromyographySignal processingStep analysis

More Related Videos

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

9.3K
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

948

Related Experiment Videos

Last Updated: Jun 16, 2025

CMAP Scan MUNE MScan - A Novel Motor Unit Number Estimation MUNE Method
08:25

CMAP Scan MUNE MScan - A Novel Motor Unit Number Estimation MUNE Method

Published on: June 7, 2018

12.3K
High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

9.3K
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

948

Area of Science:

  • Neurology
  • Biomedical Engineering
  • Electrophysiology

Background:

  • Compound muscle action potential (CMAP) scan analysis is crucial for diagnosing neuromuscular disorders.
  • Current semi-automated methods for CMAP step analysis can be time-consuming and may lack consistency.
  • Developing automated tools can improve efficiency and reliability in electrodiagnostic testing.

Purpose of the Study:

  • To develop and validate a novel automated software for CMAP scan curve step analysis.
  • To compare the performance of the automated method against a conventional semi-automated approach.
  • To assess the reliability of automated step parameters in patients with amyotrophic lateral sclerosis (ALS) and healthy controls.

Main Methods:

  • Twenty ALS patients and fifteen controls underwent median nerve stimulation to record CMAP scans.
  • A new automated software was utilized to identify steps in CMAP scan curves using novel parameters.
  • Intra-class correlation coefficients (ICC) were calculated to assess inter-method reliability.

Main Results:

  • Automated and semi-automated methods yielded comparable step parameters in ALS patients, with minor differences in step percentage.
  • Parameter similarities were less favorable in the control group.
  • Good-to-excellent reliability was observed between methods for ALS patients, whereas controls showed no significant ICC.

Conclusions:

  • A novel automated step analysis software for CMAP scans was successfully developed and operates within 5 seconds.
  • The automated method demonstrates concordance with semi-automated analysis in ALS patients.
  • The automated approach shows potential for efficient and reliable CMAP analysis in clinical settings, particularly for ALS.