Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/425143
Title: Development of Hybrid Ankle Foot Prosthesis
Researcher: Gupta, Rohit
Guide(s): Agarwal, Ravinder
Keywords: Active Prosthesis
Angle Estimation
Ankle-Foot Prosthesis
Engineering
Engineering and Technology
Engineering Electrical and Electronic
Locomotion Prediction
University: Thapar Institute of Engineering and Technology
Completed Date: 2020
Abstract: Limb loss of humans produces a permanent disability that impacts the amputee s self-confidence, self-care, and limb movement. Specifically, lower limb loss results in slow and less stable locomotion. Below-knee (transtibial) amputation is one of the most frequent types of amputation around the world. The ankle-foot prosthesis is one of the solutions meant to provide support and assistance to the transtibial amputee. The majority of available ankle-foot prostheses are passive and not able to provide required push-off and seamless movement during locomotion. However, active ankle-foot prostheses can provide desired characteristics and seamless operation to achieve by embedding subject locomotion intention in the control sequence of the prosthesis. EMG signal is a well-reorganized way of capturing neural information of human limb movements to identify the locomotion intention of the subject. The prime objective of the present research work was to develop a hybrid ankle-foot prosthesis prototype. Here, the EMG signal of six lower limb below-knee muscles for non-weight bearing and weight-bearing dorsiflexion/plantarflexion ankle-foot movements had been analyzed. Tibialis Anterior and Gastrocnemius muscles had been found suitable for repetitive ankle-foot movements. Further, to incorporate subject locomotion intention in the control sequence of the prosthesis, hybrid information (EMG+knee joint angle) based activity and locomotion prediction module had been designed. It had a two-level classification approach, the first level of classification predicts the activity (standing or walking) of the subject, whereas the second level predicts the locomotion (level walking, stair ascent, stair descent, ramp ascent, and ramp descent) intention of the subject only if at level-1 walking activity had been identified. EMG signal of four lower limb muscles
Pagination: vii, 109p.
URI: http://hdl.handle.net/10603/425143
Appears in Departments:Department of Electrical and Instrumentation Engineering

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02_prelim pages.pdf777.32 kBAdobe PDFView/Open
03_content.pdf73.67 kBAdobe PDFView/Open
04_abstract.pdf100.58 kBAdobe PDFView/Open
05_chapter 1.pdf815.58 kBAdobe PDFView/Open
06_chapter 2.pdf799.22 kBAdobe PDFView/Open
07_chapter 3.pdf692.11 kBAdobe PDFView/Open
08_chapter 4.pdf6.89 MBAdobe PDFView/Open
09_chapter 5.pdf1.36 MBAdobe PDFView/Open
10_chapter 6.pdf343.12 kBAdobe PDFView/Open
11_annexures.pdf176.84 kBAdobe PDFView/Open
80_recommendation.pdf116.83 kBAdobe PDFView/Open
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