Title: Innovating prosthetic foot design: integrating big data and computational biology for enhanced lower limb rehabilitation

Authors: Sushree Sangita Nayak; Aswini Kumar Mohapatra; Srikanta Maharana; Bijay Kumar Paikaray

Addresses: Department of Prosthetics and Orthotics, SVNIRTAR, Odisha, 754010, India ' CIPET, Odisha, 751010, India ' Department of Prosthetics and Orthotics, SVNIRTAR, Odisha, 754010, India ' Centre for Data Science, Department of Computer Science and Engineering, Siksha 'O' Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, 751003, India

Abstract: This paper aims to discover in-depth knowledge of the design technology, material used, and clinical use of dynamic response prosthetic feet in rehabilitating lower limb amputees. Studies were done using electronic databases such as PubMed, Google Scholar, SCOPUS, and Research Network 2010-2024. Out of 162 papers, 43 papers relevant studies were included. Significant advances in the research and development of prosthetic legs over the last two decades have improved the functioning and quality of life of many lower-limb amputees living in industrialised countries. The disadvantage of this new RandD is that most end users live in developing countries and cannot benefit from this new technology due to the cost, durability, maintenance, and availability of these components. Research is needed to design and develop cost-effective prosthetic legs that meet economic, environmental, and physical standards and withstand adverse climatic and working conditions.

Keywords: foot design; finite element analysis; rehabilitation; big data.

DOI: 10.1504/IJCBDD.2025.146188

International Journal of Computational Biology and Drug Design, 2025 Vol.16 No.3, pp.281 - 299

Received: 17 Oct 2024
Accepted: 27 Dec 2024
Published online: 09 May 2025 *

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