Gait analysis in neurological populations: Progression in the use of wearables

Y Celik, S Stuart, WL Woo, A Godfrey - Medical Engineering & Physics, 2021 - Elsevier
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges

C Fang, B He, Y Wang, J Cao, S Gao - Biosensors, 2020 - mdpi.com
In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

Dynamic gesture recognition using surface EMG signals based on multi-stream residual network

Z Yang, D Jiang, Y Sun, B Tao, X Tong… - … in Bioengineering and …, 2021 - frontiersin.org
Gesture recognition technology is widely used in the flexible and precise control of
manipulators in the assisted medical field. Our MResLSTM algorithm can effectively perform …

A review of techniques for surface electromyography signal quality analysis

E Farago, D MacIsaac, M Suk… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Electromyography (EMG) signals are instrumental in a variety of applications including
prosthetic control, muscle health assessment, rehabilitation, and workplace monitoring …

Multipurpose and Reusable Ultrathin Electronic Tattoos Based on PtSe2 and PtTe2

D Kireev, E Okogbue, RT Jayanth, TJ Ko, Y Jung… - ACS …, 2021 - ACS Publications
Wearable bioelectronics with emphasis on the research and development of advanced
person-oriented biomedical devices have attracted immense interest in the past decade …

Fabric-based lamina emergent MXene-based electrode for electrophysiological monitoring

S Lee, DH Ho, J Jekal, SY Cho, YJ Choi, S Oh… - Nature …, 2024 - nature.com
Commercial wearable biosignal sensing technologies encounter challenges associated with
irritation or discomfort caused by unwanted objects in direct contact with the skin, which can …

Imperceptive and reusable dermal surface EMG for lower extremity neuro-prosthetic control and clinical assessment

J Park, J Jeong, M Kang, N Pritish, Y Cho, J Ha… - npj Flexible …, 2023 - nature.com
Surface electromyography (sEMG) sensors play a critical role in diagnosing muscle
conditions and enabling prosthetic device control, especially for lower extremity robotic legs …

Surface electromyography and artificial intelligence for human activity recognition-A systematic review on methods, emerging trends applications, challenges, and …

GJ Rani, MF Hashmi, A Gupta - IEEE Access, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) has become increasingly popular in recent years due to its
potential to meet the growing needs of various industries. Electromyography (EMG) is …

Wearable super-resolution muscle–machine interfacing

H Wang, S Zuo, M Cerezo-Sánchez… - Frontiers in …, 2022 - frontiersin.org
Muscles are the actuators of all human actions, from daily work and life to communication
and expression of emotions. Myography records the signals from muscle activities as an …

Improving robotic hand control via adaptive Fuzzy-PI controller using classification of EMG signals

M Barfi, H Karami, F Faridi, Z Sohrabi, M Hosseini - Heliyon, 2022 - cell.com
Robotic or prosthetic organs are designed to have the maximum similarity to human organs.
This paper aims to improve robotic hand control via an adaptive Fuzzy-PI controller using …