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Security and Privacy of RFID for Biomedical Applications: A Survey
Published in Syed Ahson, Mohammad Ilyas, RFID Handbook, 2017
Ellen Stuart, Melody Moh, Teng-Sheng Moh
Weir, Troyk, DeMichele, and Kuiken describe their preliminary work in the creation of an upper limb prosthetic control system that offers up to eight degrees-of-freedom, integrating myoelectric sensors and RFID technology to provide a more seamless sequential control, eliminating intermediate steps and greatly increasing control of more refined movements (Weir et al., 2003). The reader relays data to a controller that processes and interprets the information into commands for desired movement (Weir et al., 2003). The resulting system would provide mobility in range of movement and in the lack of connected wires. Although Weir and his colleagues had only proposed and conducted preliminary tests for an RFID-enabled prosthetic arm and hand system, their results indicate such a system is indeed possible. Recent work with monkeys and humans has shown promise in the further advancement of prosthetic limb control ( xlink:href="http://news.bbc.co.uk/1/hi/health/4275245.stm">//news.bbc.co.uk/1/hi/health/4275245.stm).
Prosthetic and orthotic devices
Published in Alex Mihailidis, Roger Smith, Rehabilitation Engineering, 2023
Joel Kempfer, Renee Lewis, Goeran Fiedler, Barbara Silver-Thorn
Similar to lower limb prostheses, upper limb prostheses vary based on amputation level, proximal joint mobility, functional needs, desired reliability, comfort, cosmesis, and cost constraints. These factors influence the selection of power and control (e.g., body versus externally powered, myoelectric control), which, in turn, affects the prosthetic component options.
Electromyography pattern-recognition based prosthetic limb control using various machine learning techniques
Published in Journal of Medical Engineering & Technology, 2022
Sushil Ghildiyal, Geetha Mani, Ruban Nersisson
Myoelectric-based pattern recognition methods can decipher movement objectives and motivate upper limb prostheses. Now the commercial acceptance of such methods remains less [19,20]. A support vector machine is used for classifying the posture in the study by Castellini et al. [21]. Varieties of amputation are linked with the upper limb. For example, partial hand amputation is comprised of the amputation of fingertips or parts of the fingers. It is emphasised that the thumb is a single-digit loss because the ability to pick up things or grasping ability is completely lost. But, this is not the case with other fingers as the hand can grasp objects having slightly low accuracy.