Results 91 to 100 of about 137,764 (342)

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

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

The Application of Electromyography to Affections of the Facial and the Intrinsic Laryngeal Muscles [PDF]

, 1946
B. Feinstein
openalex   +1 more source

Consensus for experimental design in electromyography (CEDE) project: High-density surface electromyography matrix.

Journal of Electromyography & Kinesiology, 2022
A. Gallina, C. Disselhorst-Klug, D. Farina, R. Merletti, M. Besomi, A. Holobar, R. Enoka, F. Hug, D. Falla, K. Søgaard, K. McGill, E. Clancy, R. Carson, J. V. van Dieën, S. Gandevia, M. Lowery, T. Besier, M. Kiernan, J. Rothwell, K. Tucker, P. Hodges   +20 more
semanticscholar   +1 more source

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

The EMG: A Guide and Atlas for Practical Electromyography [PDF]

, 1964

openalex   +1 more source

Surface Electromyography Signal Processing and Classification Techniques

Italian National Conference on Sensors, 2013
Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more.
R. Chowdhury, M. Reaz, M. Ali, A. Bakar, K. Chellappan, T. Chang   +5 more
semanticscholar   +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

Evaluation of the Prognostic Value of Preoperative Electromyography in Patients Who Underwent Carpal Tunnel Release Surgery

Archives of Basic and Clinical Research
Objective: Carpal tunnel syndrome is a condition caused by the compression of the median nerve within the carpal tunnel, resulting in clinical symptoms in the area innervated by the nerve.
Nizamettin Koçkara, Seçkin Özcan
doaj   +1 more source

Multi‐Risk‐Level Sarcopenia‐Prone Screening via Machine Learning Classification of Sit‐to‐Stand Motion Metrics from Wearable Sensors

Advanced Intelligent Systems, EarlyView.
A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang, Hongyu Zhang, Clio Yuen Man Cheng, Meng Chen, King Wai Chiu Lai, Calvin Kalun Or, Yong Hu, Arul Lenus Roy Vellaisamy, Cindy Lo Kuen Lam, Ning Xi, Vivian Weiqun Lou, Wen Jung Li   +11 more
wiley   +1 more source