Results 41 to 50 of about 17,689 (224)

Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury [PDF]

, 2016
Background: Recent studies show that spatial distribution of High Density surface EMG maps (HD-EMG) improves the identification of tasks and their corresponding contraction levels.
Alonso López, Joan Francesc, Jordanic, Mislav, Mañanas Villanueva, Miguel Ángel, Rojas Martínez, Mónica   +3 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, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

ReSurfEMG: A Python Package for Comprehensive Analysis of Respiratory Surface EMG

Sensors
In patients with respiratory failure, mechanical ventilation aims to balance respiratory muscle loading and gas exchange. The interplay between the ventilator and the respiratory muscles is an increasingly recognized factor in tailoring ventilatory ...
Robertus Simon Petrus Warnaar, Candace Makeda Moore, Walter Baccinelli, Farnaz Soleimani, Dirk Wilhelm Donker, Eline Oppersma   +5 more
doaj   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

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, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

A Consecutive Multi-Day High-Density Surface Electromyography Dataset Comprising 7 Grasps and 11 Gestures

Scientific Data
Surface electromyography (sEMG) records muscle electrical signals and reflects neuromuscular physiological behaviors. Recently, high-density sEMG (HD-sEMG), which allows non-invasive identification of motor unit action potential trains (MUAPTs) and ...
Shutian Yang, Chen Chen, Dongxuan Li, Xiangyang Zhu   +3 more
doaj   +1 more source

High-Performance Surface Electromyography Armband Design for Gesture Recognition

Sensors, 2023
Wearable surface electromyography (sEMG) signal-acquisition devices have considerable potential for medical applications. Signals obtained from sEMG armbands can be used to identify a person’s intentions using machine learning.
Ruihao Zhang, Yingping Hong, Huixin Zhang, Lizhi Dang, Yunze Li   +4 more
doaj   +1 more source

Robustness of Rhythmic-Based Dynamic Hand Gesture with Surface Electromyography (sEMG) for Authentication [PDF]

Electronics, 2020
Authentication has three basic factors—knowledge, ownership, and inherence. Biometrics is considered as the inherence factor and is widely used for authentication due to its conveniences. Biometrics consists of static biometrics (physical characteristics) and dynamic biometrics (behavioral). There is a trade-off between robustness and security.
Alex Ming Hui Wong, Masahiro Furukawa, Taro Maeda   +2 more
openaire   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

Advanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li, Han Liu, Guoxu Liu, Qian'ao Wang, Haotian Zhou, Guiyi Liu, Yan Xu, Jun Wang, Zuqiang Wang, Feng Zhu, Feiling Luo, Zhong Lin Wang, Chi Zhang   +12 more
wiley   +1 more source

Multifractal characteristics of external anal sphincter based on sEMG signals

, 2017
This work presents the application of Multifractal Detrended Fluctuation Analysis for the surface electromyography signals obtained from the patients suffering from rectal cancer.
Machura, Lukasz, Nowakowski, Michal, Trybek, Paulina   +2 more
core   +1 more source

Surface mechanomyography and electromyography provide non-invasive indices of inspiratory muscle force and activation in healthy subjects [PDF]

, 2018
The current gold standard assessment of human inspiratory muscle function involves using invasive measures of transdiaphragmatic pressure (Pdi) or crural diaphragm electromyography (oesEMGdi).
Jané Campos, Raimon, Jolley, J, Lozano, Manuel, Moxham, John, Rafferty, Gerrard F., Sarlabous Uranga, Leonardo, Torres Cebrián, Abel   +6 more
core   +2 more sources