Detection of prosthetic knee movement phases via in-socket sensors : a feasibility study
Ahmed, Amr and Hamzaid, Nur Azah and Yu Shen Tan, Kenneth and Abu Osman, Noor Azuan (2015) Detection of prosthetic knee movement phases via in-socket sensors : a feasibility study. The Scientific World Journal, 2015. 923286. ISSN 1537-744X (https://doi.org/10.1155/2015/923286)
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Abstract
This paper presents an approach of identifying prosthetic knee movements through pattern recognition of mechanical responses at the internal socket’s wall. A quadrilateral double socket was custom made and instrumented with two force sensing resistors (FSR) attached to specific anterior and posterior sites of the socket’s wall. A second setup was established by attaching three piezoelectric sensors at the anterior distal, anterior proximal, and posterior sites. Gait cycle and locomotion movements such as stair ascent and sit to stand were adopted to characterize the validity of the technique. FSR and piezoelectric outputs were measured with reference to the knee angle during each phase. Piezoelectric sensors could identify the movement of midswing and terminal swing, pre-full standing, pull-up at gait, sit to stand, and stair ascent. In contrast, FSR could estimate the gait cycle stance and swing phases and identify the pre-full standing at sit to stand. FSR showed less variation during sit to stand and stair ascent to sensitively represent the different movement states. The study highlighted the capacity of using in-socket sensors for knee movement identification. In addition, it validated the efficacy of the system and warrants further investigation with more amputee subjects and different sockets types.
ORCID iDs
Ahmed, Amr ORCID: https://orcid.org/0009-0002-7971-3793, Hamzaid, Nur Azah, Yu Shen Tan, Kenneth and Abu Osman, Noor Azuan;-
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Item type: Article ID code: 89416 Dates: DateEvent5 April 2015PublishedSubjects: Medicine > Biomedical engineering. Electronics. Instrumentation Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 30 May 2024 13:31 Last modified: 11 Nov 2024 14:20 URI: https://strathprints.strath.ac.uk/id/eprint/89416