Results 101 to 110 of about 180,366 (346)

Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography [PDF]

, 2015
Rencheng Zheng, Shigeyuki Yamabe, Kimihiko Nakano, Yoshihiro SUDA   +3 more
openalex   +1 more source

Electromyography Indices of Handgrip Force with Swinging Motion

, 2023
Wan Hisarudin Wan Abdullah, Wan Mohd Bukhari Wan Daud, M. O. Tokhi, Rubita Sudirman, Mohd Juzaila Abd Latif, Norafizah Abas, N. S. Abu   +6 more
openalex   +2 more sources

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Relation between Vastus Lateralis Electromyography Activation and VO_2max Values Obtained in Bicycle Ergometry

, 2023
Hasan Sözen
openalex   +2 more sources

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Is phrenic nerve conduction affected in patients with difficult-to-treat asthma?

Arquivos de Neuro-Psiquiatria
Objective The aim of this study was to obtain data on phrenic neuroconduction and electromyography of the diaphragm muscle in difficult-to-treat asthmatic patients and compare the results to those obtained in controls.
Analúcia Abreu Maranhão, Marcia Maria Jardim Rodrigues, Sonia Regina da Silva Carvalho, Marcelo Ribeiro Caetano, Inaê Mattoso Compagnoni, Tatiana Catia Carnio, Débora Ribeiro   +6 more
doaj   +1 more source

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi   +2 more
wiley   +1 more source

Electrophysiological Changes in Patients with Postoperative Cross-facial Nerve Graft in a Tertiary Care Center

Plastic and Reconstructive Surgery, Global Open
Background:. Facial nerve palsy is a multifaceted pathology that causes facial disfigurement, affecting eye closure, speech articulation, oral competence, and emotional expression, with functional, aesthetic, and psychological consequences.
Osmar R. González-Woge, MD, Bruno A. Salazar Trujillo, MD, Alejandro Elnecavé Olaiz, MD, Miguel Á. González-Woge, MD, MSc, Victoria Aragón Luna, MD, Francisca S. Loreto, MD, Mauricio González-Navarro, MD, MSc   +6 more
doaj   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals

Sensors
Interest in developing techniques for acquiring and decoding biological signals is on the rise in the research community. This interest spans various applications, with a particular focus on prosthetic control and rehabilitation, where achieving precise ...
Aly Medhat Moslhi, Hesham H. Aly, Medhat ElMessiery   +2 more
doaj   +1 more source