Controlling upper limb prostheses using sonomyography (SMG): A review

V Nazari, YP Zheng - Sensors, 2023 - mdpi.com
This paper presents a critical review and comparison of the results of recently published
studies in the fields of human–machine interface and the use of sonomyography (SMG) for …

Emg pattern recognition: A systematic review

S Dhumal, P Sharma - … on Information Systems and Management Science, 2021 - Springer
EMG (electromyography), which records the electrical activity of our muscles, is a common
test for muscle movement. This test helps determine whether there is a nerve injury or a …

Unveiling EMG semantics: a prototype-learning approach to generalizable gesture classification

H Lee, M Jiang, J Yang, Z Yang… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Upper limb loss can profoundly impact an individual's quality of life, posing
challenges to both physical capabilities and emotional well-being. To restore limb function …

Advancing Rehabilitation Accuracy: A Robotic-Human-Like Controller for Continuous Passive Motion with Natural Behavioural Responses

A Chehlah, P Neranon… - Journal of …, 2024 - semarakilmu.com.my
Conventionally, researchers have primarily focused on developing gravity-compensation
robots without considering the voluntary resistant force in continuous passive motion (CPM) …

Design and fabricating of continuous passive motion (CPM) machine for physical knee pain therapy

WK Hamdan, SM Ali, ZH Saleh, DM Awad… - AIP Conference …, 2023 - pubs.aip.org
Diseases of the human musculoskeletal system are increasingly common, especially those
affecting the knee joint, for various reasons, including those that result from aging of the …

Modeling of Controller for Motor-Controlled Prosthetic Hand Based on Machine Learning Strategy in Classifying Two-Channel Surface EMG Signals

S Mohmad, AK Elnagar - … Conference on Green Energy, Computing and …, 2023 - Springer
This research study presents a computationally improved system using a pattern recognition
(PR) algorithm to classify fingers movement based on data acquired by a surface EMG …

Pengembangan Sistem Pengenalan Pergerakan Prostetik Tangan Bionik Menggunakan Metode K-Nearest Neighbor dengan Fitur Power Spectral Density

AP Wijaya - Jurnal Pengembangan Teknologi Informasi dan Ilmu …, 2024 - j-ptiik.ub.ac.id
Skripsi ini berfokus pada pengembangan sistem pengenalan pergerakan untuk tangan
prostetik bionik menggunakan sensor EMG MyoWare v2. Pengembangan ini penting karena …