Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/427494
Title: A systematic approach to the design And development of wearable sensor For detection of arthritis using gait Pattern
Researcher: Arumugaraja, M
Guide(s): Padmapriya, B and Poornachandra, S
Keywords: Engineering and Technology
Engineering
Engineering Electrical and Electronic
gait Pattern
arthritis
University: Anna University
Completed Date: 2022
Abstract: Arthritis is recognized as one of the most widespread articular diseases affecting a large population in the world and is the main cause of articular disability. Arthritis is a chronic disorder that can create problems in any bone joint. It arises frequently in the neck, thumb base, finger joints, hip, lower back, knee, and at the base of the big toes. In every bone joint, the cartilage covers the ends of each bone. Arthritis also results in lower limb trauma. newlineThe normal gait of a human being is affected when the person is subjected to any injury or pain in the lower limbs. To reveal the underlying conditions of the subject and to aid in the diagnosis of the patient, the gait patterns of the subjects are captured and subsequently analysed. Gait analysis is one of the important tools used to deduce subtle and evident gait irregularities exhibited by the subject. The knee-pressure and foot-pressure distribution signals are collected from the individuals to identify the ones affected with knee pain. newlineThe irregularities in gait often manifest as knee pain or physical discomfort experienced by the patient. Existing vision and floor sensor-based systems have the limitations of operational complexity and high cost that make them uncomfortable for individual use. Wearable sensors can be used to address this difficulty. newlineA Thermoplastic Polyurethane (TPU) - Carbon Nano Fiber (CNF) based nanocomposite piezoresistive pressure sensing film is developed by solution casting method. It is characterized by surface resistance, bulk resistance, impedance, and frequency dependence. newline
Pagination: xxii, 162p.
URI: http://hdl.handle.net/10603/427494
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim pages.pdf5.18 MBAdobe PDFView/Open
03_content.pdf256.09 kBAdobe PDFView/Open
04_abstract.pdf118.2 kBAdobe PDFView/Open
05_chapter 1.pdf1.06 MBAdobe PDFView/Open
06_chapter 2.pdf472.76 kBAdobe PDFView/Open
07_chapter 3.pdf1.22 MBAdobe PDFView/Open
08_chapter 4.pdf885.4 kBAdobe PDFView/Open
09_chapter 5.pdf1.9 MBAdobe PDFView/Open
10_annexures.pdf1.06 MBAdobe PDFView/Open
80_recommendation.pdf65.45 kBAdobe PDFView/Open
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