Results 71 to 80 of about 81,931 (164)
The efferent control chain for an upper-limb myoelectric prosthesis can be separated into 3 key areas: signal generation, signal acquisition, and device response.
A. Chadwell +5 more
doaj +1 more source
Smart Catheters for Diagnosis, Monitoring, and Therapy
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman +12 more
wiley +1 more source
Skill assessment in upper limb myoelectric prosthesis users: Validation of a clinically feasible method for characterising upper limb temporal and amplitude variability during the performance of functional tasks [PDF]
Upper limb myoelectric prostheses remain challenging to use and are often abandoned. A proficient user must be able to plan/execute arm movements while activating the residual muscle(s), accounting for delays and unpredictability in prosthesis response ...
Thies, Sibylle B. +29 more
core +1 more source
Background Advances such as targeted muscle reinnervation and pattern recognition control may provide improved control of upper limb myoelectric prostheses, but evaluating user function remains challenging.
Levi Hargrove +3 more
doaj +1 more source
Abstract Climate‐driven disasters have disproportionate and often devastating consequences on individuals with disabilities. Warming ocean and air temperatures are fueling more extreme tropical cyclones, further endangering those living in at‐risk regions.
Mollie Andreae +4 more
wiley +1 more source
Aims: The war leads to a lot of physical damage. The most common level of amputation is the upper limb, cutting off at the below elbow. The aim of this study was to investigate satisfaction of veterans with trans-radial amputations from myoelectric ...
J. Heidari +3 more
doaj
A Neuro-Fuzzy System for Characterization of Arm Movements
The myoelectric signal reflects the electrical activity of skeletal muscles and contains information about the structure and function of the muscles which make different parts of the body move.
Alexandre Balbinot, Gabriela Favieiro
doaj +1 more source
Schematic of the proposed method. A K‐nearest‐neighbors clustering‐based pretraining strategy was adopted to ensure similarity between the data used for pretraining and that of a new user. Besides, the proposed method pioneeringly utilized an attention mechanism to learn the relationship between muscles and hand movements for finger‐joint‐angle ...
Zhouping Chen +3 more
wiley +1 more source
Improving bimanual interaction with a prosthesis using semi-autonomous control
Background The loss of a hand is a traumatic experience that substantially compromises an individual’s capability to interact with his environment. The myoelectric prostheses are state-of-the-art (SoA) functional replacements for the lost limbs.
Robin Volkmar +4 more
doaj +1 more source
This systematic review analyses 132 studies on vision‐based and wearable sensor technologies for post‐stroke hand rehabilitation. We compare systems in terms of accuracy, affordability, comfort and AI‐driven personalisation, highlighting the growing dominance of deep learning‐based vision systems.
Kamal +5 more
wiley +1 more source

