Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.

Sarcopenia is defined as degenerative loss of skeletal muscle mass, strength and function with aging. Sarcopenia is first characterized by muscle atrophy along with a reduction in muscle tissue quality caused by factors such as replacement of muscle fibers with fat, an increase in fibrosis, changes...

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Main Author: Kumar Dilip.
Other Authors: Poh Chueh Loo
Format: Theses and Dissertations
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54298
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-542982023-03-03T15:57:58Z Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia. Kumar Dilip. Poh Chueh Loo School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering Sarcopenia is defined as degenerative loss of skeletal muscle mass, strength and function with aging. Sarcopenia is first characterized by muscle atrophy along with a reduction in muscle tissue quality caused by factors such as replacement of muscle fibers with fat, an increase in fibrosis, changes in muscle metabolism, oxidative stress, and degeneration of the neuromuscular junction. The several causes of sarcopenia are concomitance and can include disuse, changes in endocrine function, inflammation, chronic diseases, insulin resistance, and nutritional deficiencies. Combined, all these changes lead to progressive lower skeletal muscle mass, lower muscle strength, lower physical performance, thus resulting in reduced muscle function and frailty. ​Master of Science (Biomedical Engineering) 2013-06-18T07:25:59Z 2013-06-18T07:25:59Z 2013 2013 Thesis http://hdl.handle.net/10356/54298 en 65 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Kumar Dilip.
Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.
description Sarcopenia is defined as degenerative loss of skeletal muscle mass, strength and function with aging. Sarcopenia is first characterized by muscle atrophy along with a reduction in muscle tissue quality caused by factors such as replacement of muscle fibers with fat, an increase in fibrosis, changes in muscle metabolism, oxidative stress, and degeneration of the neuromuscular junction. The several causes of sarcopenia are concomitance and can include disuse, changes in endocrine function, inflammation, chronic diseases, insulin resistance, and nutritional deficiencies. Combined, all these changes lead to progressive lower skeletal muscle mass, lower muscle strength, lower physical performance, thus resulting in reduced muscle function and frailty.
author2 Poh Chueh Loo
author_facet Poh Chueh Loo
Kumar Dilip.
format Theses and Dissertations
author Kumar Dilip.
author_sort Kumar Dilip.
title Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.
title_short Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.
title_full Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.
title_fullStr Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.
title_full_unstemmed Investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.
title_sort investigation of the correlation of magnetics resonance imaging based parameters and gait characteristics for diagnosis of sarcopenia.
publishDate 2013
url http://hdl.handle.net/10356/54298
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