Results 61 to 70 of about 83,136 (298)
Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients
Bioengineering, 2023 Gait disturbances are common manifestations of Parkinson’s disease (PD), with unmet therapeutic needs. Inertial measurement units (IMUs) are capable of monitoring gait, but they lack neurophysiological information that may be crucial for studying gait ...
Stefan Haufe +3 more
doaj +1 more source
Temporal Taylor's scaling of facial electromyography and electrodermal activity in the course of emotional stimulation [PDF]
, 2016 High frequency psychophysiological data create a challenge for quantitative modeling based on Big Data tools since they reflect the complexity of processes taking place in human body and its responses to external events.
Chmiel, Anna +5 more
core +3 more sources
Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges
Advanced Materials Technologies, EarlyView.This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz +2 more
wiley +1 more source
Posture Estimation Using Surface Electromyography during Wheelchair Hand-Rim Operations
Sensors, 2022 This study examined competitive wheelchairs that facilitate sports participation. They can be moved straight ahead using only one arm. Our designed and developed competitive wheel-chairs have a dual hand-rim system.
Satoshi Ohashi +4 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Feature-Level Fusion of Surface Electromyography for Activity Monitoring
Sensors, 2018 Surface electromyography (sEMG) signals are commonly used in activity monitoring and rehabilitation applications as they reflect effectively the motor intentions of users.
Xugang Xi, Minyan Tang, Zhizeng Luo
doaj +1 more source
Using Surface Electromyography in Physiotherapy Research
Australian Journal of Physiotherapy, 1983 Electromyography can be a useful tool for the physiotherapist to obtain information about the timing or magnitude of muscle activity when investigating the neuromuscular reflexes, muscle performance or patterns of movement. The quality of the signal recorded is dependent on the correct siting of electrodes, adequate skin preparation and the ...
GILMORE, KAREN LOUISE +1 more
openaire +3 more sources
Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Journal of Rehabilitation, 2013 Objective: Evaluation of paraspinal muscles endurance in patients with chronic low back pain (LBP) seems to be of great importance. Many studies demonstrated that surface electromyography has merit to assess muscle fatigue using frequency spectrum.
Nahid Rahmani +2 more
doaj
An electrooptical muscle contraction sensor [PDF]
, 2010 An electrooptical sensor for the detection of muscle contraction is described. Infrared light is injected into the muscle, the backscattering is observed, and the contraction is detected by measuring the change, that occurs during muscle contraction ...
A Gelmetti +10 more
core +2 more sources