Mechanomyogram for muscle function assessment: a review
Link to publisher's homepage at http://www.plos.org/
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science
2014
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/dspace/handle/123456789/33383 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-33383 |
|---|---|
| record_format |
dspace |
| spelling |
my.unimap-333832014-04-07T10:32:36Z Mechanomyogram for muscle function assessment: a review Md Anamul, Islam Sundaraj, Kenneth, Prof. Dr. R. Badlishah Ahmad, Prof. Dr. Nizam Uddin, Ahamed anamulislam.phd@gmail.co kenneth@unimap.edu.my badli@unimap.edu.my ahamed1557@hotmail.com Computer program Exercise Frequency analysis Functional assessment Mechanomyogram Link to publisher's homepage at http://www.plos.org/ Background: Mechanomyography (MMG) has been extensively applied in clinical and experimental practice to examine muscle characteristics including muscle function (MF), prosthesis and/or switch control, signal processing, physiological exercise, and medical rehabilitation. Despite several existing MMG studies of MF, there has not yet been a review of these. This study aimed to determine the current status on the use of MMG in measuring the conditions of MFs. Methodology/Principal Findings: Five electronic databases were extensively searched for potentially eligible studies published between 2003 and 2012. Two authors independently assessed selected articles using an MS-Word based form created for this review. Several domains (name of muscle, study type, sensor type, subject's types, muscle contraction, measured parameters, frequency range, hardware and software, signal processing and statistical analysis, results, applications, authors' conclusions and recommendations for future work) were extracted for further analysis. From a total of 2184 citations 119 were selected for full-text evaluation and 36 studies of MFs were identified. The systematic results find sufficient evidence that MMG may be used for assessing muscle fatigue, strength, and balance. This review also provides reason to believe that MMG may be used to examine muscle actions during movements and for monitoring muscle activities under various types of exercise paradigms. Conclusions/Significance: Overall judging from the increasing number of articles in recent years, this review reports sufficient evidence that MMG is increasingly being used in different aspects of MF. Thus, MMG may be applied as a useful tool to examine diverse conditions of muscle activity. However, the existing studies which examined MMG for MFs were confined to a small sample size of healthy population. Therefore, future work is needed to investigate MMG, in examining MFs between a sufficient number of healthy subjects and neuromuscular patients. 2014-04-03T07:59:00Z 2014-04-03T07:59:00Z 2013 Article PLoS ONE, vol. 8(3), 2013, pages 1-12 1932-6203 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33383 http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0058902#pone-0058902-g001 10.1371/journal.pone.0058902 en Public Library of Science |
| institution |
Universiti Malaysia Perlis |
| building |
UniMAP Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Perlis |
| content_source |
UniMAP Library Digital Repository |
| url_provider |
http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Computer program Exercise Frequency analysis Functional assessment Mechanomyogram |
| spellingShingle |
Computer program Exercise Frequency analysis Functional assessment Mechanomyogram Md Anamul, Islam Sundaraj, Kenneth, Prof. Dr. R. Badlishah Ahmad, Prof. Dr. Nizam Uddin, Ahamed Mechanomyogram for muscle function assessment: a review |
| description |
Link to publisher's homepage at http://www.plos.org/ |
| author2 |
anamulislam.phd@gmail.co |
| author_facet |
anamulislam.phd@gmail.co Md Anamul, Islam Sundaraj, Kenneth, Prof. Dr. R. Badlishah Ahmad, Prof. Dr. Nizam Uddin, Ahamed |
| format |
Article |
| author |
Md Anamul, Islam Sundaraj, Kenneth, Prof. Dr. R. Badlishah Ahmad, Prof. Dr. Nizam Uddin, Ahamed |
| author_sort |
Md Anamul, Islam |
| title |
Mechanomyogram for muscle function assessment: a review |
| title_short |
Mechanomyogram for muscle function assessment: a review |
| title_full |
Mechanomyogram for muscle function assessment: a review |
| title_fullStr |
Mechanomyogram for muscle function assessment: a review |
| title_full_unstemmed |
Mechanomyogram for muscle function assessment: a review |
| title_sort |
mechanomyogram for muscle function assessment: a review |
| publisher |
Public Library of Science |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/33383 |
| _version_ |
1643797158286065664 |