Related Experiment Video
Updated: Mar 31, 2026

06:00
Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test
Published on: July 27, 2015
13.3K
Electromyographic adjustments during continuous and intermittent incremental fatiguing cycling
E Martinez-Valdes1, R A Guzman-Venegas2, R A Silvestre3
1University Outpatient Clinic, Sports Medicine and Sports Orthopaedics, University of Potsdam, Potsdam, Germany. emartine@uni-potsdam.de.
Scandinavian Journal of Medicine & Science in Sports
|October 24, 2015
Summary
Normalized root mean square (RMS) of electromyography (EMG) signals is the most sensitive variable for monitoring muscle activation and fatigue during cycling exercise. It effectively tracks changes in muscle activity across varying power outputs and fatigue levels.
Area of Science:
- Exercise Physiology
- Biomedical Engineering
- Sports Science
Background:
- Electromyography (EMG) is crucial for understanding muscle activation during exercise.
- Differentiating between continuous and intermittent cycling protocols is important for exercise prescription and fatigue management.
- Identifying sensitive EMG parameters for load and fatigue is key to optimizing training and performance monitoring.
Purpose of the Study:
- To investigate the sensitivity of various EMG variables to exercise load and muscle fatigue during continuous and intermittent incremental cycling.
- To compare the effects of different cycling protocols on EMG signal characteristics.
- To determine the most suitable EMG parameter for monitoring muscle activation and fatigue during cycling.
Main Methods:
- Fifteen male participants completed incremental cycling tests under continuous and intermittent protocols.
- Multichannel EMG signals were recorded from the vastus lateralis muscle.
- Analysis included muscle fiber conduction velocity (MFCV), instantaneous mean frequency (iMNF), and absolute and normalized root mean square (RMS).
Main Results:
- MFCV differed between protocols and increased with power output only during intermittent cycling.
- RMS parameters increased linearly with power output, with normalized RMS being higher at 100% peak power output (PPO) in the continuous protocol.
- iMNF showed no significant sensitivity to load or fatigue (P = 0.14).
Conclusions:
- Continuous and intermittent cycling protocols differentially affect MFCV and normalized RMS.
- Normalized RMS is the most suitable EMG parameter, demonstrating sensitivity to both power output increases and muscle fatigue.
- Normalized RMS can effectively monitor changes in muscle activation during cycling exercise.

