Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/443083
Title: Quantitative Analysis Of Neck Muscle Fatigue
Researcher: Shakya, Hemlata
Guide(s): Sharma, Shiru and Sharma, Neeraj
Keywords: Biology and Biochemistry
Endocrinology and Metabolism tissue
Life Sciences
University: Indian Institute of Technology IIT (BHU), Varanasi
Completed Date: 2019
Abstract: newline In the present scenario, most of the world s population is suffering from muscle newlinefatigue that affects muscle strength. Muscle fatigue is defined as a state of newlinephysical or mental exhaustion that can be triggered by stress, medication, newlineoverwork, or mental and physical illness. newlineThe current study deals with the analysis of neck muscle fatigue by using newlineEMG data of various subjects suffering from neck pain recorded via wireless newlinesensors. Neck pain is a common problem which is found in the people of all age newlinegroup, and it mainly occurs due to poor posture, anxiety, depression, muscle newlinestrain, sporting activities, and other stressful situations. The patients suffering newlinefrom neck pain-related problems are normally prescribed cervical traction therapy newlineby medical experts. newlineEMG signal contains sufficient information regarding the contraction and newlinefatigue status of the muscle. EMG data for various patients suffering from neck newlinepain with radiculopathy, neck pain without radiculopathy, and spondylosis pain newlinewere acquired using wireless EMG sensors during cervical traction therapy and newlineprocessed for muscle fatigue analysis. The sensors were placed on the neck newlinemuscles of the subjects for recording their EMG data. The data were recorded for newlineeach subject during their course of traction treatment.
Pagination: 
URI: http://hdl.handle.net/10603/443083
Appears in Departments:Biomedical Engineering

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01_title page.pdfAttached File213.12 kBAdobe PDFView/Open
02_prelimanarily page.pdf328.7 kBAdobe PDFView/Open
03_content page.pdf467.68 kBAdobe PDFView/Open
04_abstract.pdf156.44 kBAdobe PDFView/Open
05_chapter 01.pdf295.38 kBAdobe PDFView/Open
06_chapter 02.pdf552.92 kBAdobe PDFView/Open
07_chapter 03.pdf812.53 kBAdobe PDFView/Open
08_chapter 04.pdf572.13 kBAdobe PDFView/Open
09_chapter 05.pdf419.81 kBAdobe PDFView/Open
10_chapter 06.pdf581.92 kBAdobe PDFView/Open
11_chapter 07.pdf180.08 kBAdobe PDFView/Open
12_annexures.pdf918.27 kBAdobe PDFView/Open
80_recommendation.pdf392.78 kBAdobe PDFView/Open
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