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| Funder | European Commission |
|---|---|
| Recipient Organization | Imperial College of Science Technology and Medicine |
| Country | United Kingdom |
| Start Date | Aug 01, 2025 |
| End Date | Jul 31, 2027 |
| Duration | 729 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101210523 |
Prosthetic devices and their assistive technologies (ATs) have been socially demanded by several factors, including higher rates of traumatic amputations from accidents and an aging population.
Regarding upper limb prosthetics, the amputation statistics show that the major cause is traumatic incidents, such as workplace or road accidents, particularly affecting the working-age population. The demand also has accelerated while human life expectancy increases, and society enters an aging demographic.
By 2070, the share of the population aged 65 and over is expected to grow from 20% in 2019 to nearly 30%. The Global incidence of traumatic amputations has increased including upper-limb amputation around 16.4%.
To this demand, the European orthopedic prosthetics market is projected to grow (Compound annual growth rate (CAGR): 5.4%) from 2024 to 2030 and over 75000 prosthetists are required globally to support individuals with traumatic amputations1.
Advancements in upper-limb prosthetics improve healthcare, rehabilitation, daily life, and workforce participation for amputees, benefiting society and boosting economic growth.In this proposal, A Synergetic SPC (SSPC) based novel framework is proposed and it will offer highly accurate, robust, and object interactive advantages.
SSPC will overcome LMs by 1) Design a signal processing algorithm for the acquisition of muscle unit activation and Machine learning (ML)-based intention estimation model by spatial and temporal signal consideration, 2) Vision-aid real-time grasping assistance algorithm, and 3) Design SSPC framework. (a) Offline simulation analysis and (b) Real-time clinical trials will be conducted as solid support of Synergistic Control Technology: Muscle Activation-Based Intention Estimation and Vision-aid Assistance in Upper Limb Prosthetics (SynConT).
It will contribute to prosthetics technology beyond the state of the art and bring it to daily life.
Imperial College of Science Technology and Medicine
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