Advanced sensor-based design and development of wearable prosthetic socket for amputees
— Teesside University's Research Portal Skip to main navigation Skip to search Skip to main content Home Profiles Research Units TeesRep Student theses Projects Datasets Equipment Press / Media Search by expertise, name or affiliation Advanced sensor-based design and development of wearable prosthetic socket for amputees Gao, Jianxin (PI) Ali, Zulfiqur (CoI) Healthcare Innovation Centre Centre for Digital Innovation Centre for Rehabilitation Project: Research Overview Project Details Description Limb amputations cause serious physical disabilities that compromise the quality of life of many people around the globe. There are 40 million amputees in the world with an estimated 2.4 million in the EU and approximately 215,000 amputation surgeries performed each year (around 90% are lower limb amputees). Thus, there is a growing demand for efficient prosthetic socket systems due to growing number of amputees and lack of an existing solution for the comfortable socket. This project aims to develop a new solution for a prosthetic socket by developing wearable sensors to be embedded in a socket for the amputee patients to wear in everyday life. The sensors will allow real-time data collection allowing prosthetist to monitor the evolution of the performance of existing socket as well as the anatomical changes of the residual limb of amputees. New algorithms will be developed to evaluate all the biomechanical characteristics so that once the existing socket does not serve the patient, a new socket will be produced automatically without the need for the patient to go to a clinic in advance. SocketSense will meet this healthcare need by means of sensors, biomechanical modeling, AI, unified software and additive manufacturing technologies. The whole SocketSense technique and procedure will be validated through clinical trials. Acronym SockectSense Status Active Effective start/end date 1/01/19 → 31/12/21 Funding European Commission View all View less Powered by Pure, Scopus & Elsevier Fingerprint Engine™ © 2021 Elsevier B.V. We use cookies to help provide and enhance our service and tailor content. By continuing you agree to the use of cookies Log in to Pure Teesside University's Research Portal data protection policy About web accessibility Teesside University's Research Portal contact form
