Published May 2011 | Version v1
Journal article

On the behavior of surface electromyographic variables during the menstrual cycle

  • 1. Department of Electrical Engineering, University of Brasilia, Brasilia-DF (Brazil)
  • 2. Department of Computer Science, University of Brasilia, Brasilia-DF (Brazil)
  • 3. Medical Sciences Program, University of Brasilia, Brasilia-DF (Brazil)
  • 4. UnB-Gama Faculty, University of Brasilia, Gama-DF (Brazil)

Description

The goal of this work is to study the behavior of electromyographic variables during the menstrual cycle. Ten female volunteers (24.0 ± 2.8 years of age) performed fatiguing isometric contractions, and electromyographic signals were measured on the biceps brachii in four phases of the menstrual cycle. Adaptations of classical algorithms were used for the estimation of the root mean square (RMS) value, absolute rectified value (ARV), mean frequency (MNF), median frequency (MDF), and conduction velocity (CV). The CV estimator had a higher (p = 0.002) rate of decrease at the end of the follicular phase and at the end of the luteal phase. The MDF (p = 0.002) and MNF (p = 0.004) estimators had a higher rate of decrease at the beginning of the follicular phase and at the end of the luteal phase. No significant differences between phases of the menstrual cycle were detected with the ARV and RMS estimators (p > 0.05). These results suggest that the behavior of the muscles in women presents different characteristics during different phases of the menstrual cycle. In particular, women were more susceptible to fatigue at the end of the luteal phase

Availability note (English)

Available from http://dx.doi.org/10.1088/0967-3334/32/5/004

Additional details

Identifiers

DOI
10.1088/0967-3334/32/5/004;
PII
S0967-3334(11)72238-9;

Publishing Information

Journal Title
Physiological Measurement (Print)
Journal Volume
32
Journal Issue
5
Journal Page Range
p. 543-557
ISSN
0967-3334

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47046617
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ALGORITHMS; DIAGNOSTIC TECHNIQUES; FATIGUE; MEDICAL EXAMINATIONS; MENSTRUAL CYCLE; MUSCLES; SIGNALS; VELOCITY; WOMEN
Descriptors DEC
ANIMALS; FEMALES; MAMMALS; MAN; MATHEMATICAL LOGIC; MECHANICAL PROPERTIES; MEDICAL SURVEILLANCE; PRIMATES; VERTEBRATES