Recent advances in neuro-fuzzy system: A survey
KV Shihabudheen, GN Pillai - Knowledge-Based Systems, 2018 - Elsevier
Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
Advances and disturbances in sEMG-based intentions and movements recognition: A review
Surface EMG-based gestures recognition systems are helping the disable to enjoy a better
life. Academic institutes and commercial companies have been developing a lot of sEMG …
life. Academic institutes and commercial companies have been developing a lot of sEMG …
[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
An intelligent Parkinson's disease diagnostic system based on a chaotic bacterial foraging optimization enhanced fuzzy KNN approach
Z Cai, J Gu, C Wen, D Zhao, C Huang… - … methods in medicine, 2018 - Wiley Online Library
Parkinson′ s disease (PD) is a common neurodegenerative disease, which has attracted
more and more attention. Many artificial intelligence methods have been used for the …
more and more attention. Many artificial intelligence methods have been used for the …
A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals
K Rezaee, S Savarkar, X Yu, J Zhang - Biomedical Signal Processing and …, 2022 - Elsevier
Parkinson's disease (PD) is known as a rampant neurodegenerative disorder, which has
afflicted approximately 10 million people throughout the world. Surface Electromyography …
afflicted approximately 10 million people throughout the world. Surface Electromyography …
Flexible strain sensor-based data glove for gesture interaction in the metaverse: a review
B Ji, X Wang, Z Liang, H Zhang, Q Xia… - … Journal of Human …, 2023 - Taylor & Francis
The rise of the metaverse concept has brought about widespread attention in wearable
gesture recognition devices. Data gloves based on flexible strain sensors have been …
gesture recognition devices. Data gloves based on flexible strain sensors have been …
Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method
Muscle activity decreases due to various conditions like age factors and muscle diseases
namely, amyotrophic lateral sclerosis (ALS) and myopathy. Electromyogram (EMG) signals …
namely, amyotrophic lateral sclerosis (ALS) and myopathy. Electromyogram (EMG) signals …
Upper limb movement classification via electromyographic signals and an enhanced probabilistic network
Few studies in the literature have researched the use of surface electromyography (sEMG)
for motor assessment post-stroke due to the complexity of this type of signal. However …
for motor assessment post-stroke due to the complexity of this type of signal. However …
Fatigue detection during sit-to-stand test based on surface electromyography and acceleration: a case study
C Roldán Jiménez, P Bennett, A Ortiz García… - Sensors, 2019 - mdpi.com
The latest studies of the 30-second sit-to-stand (30-STS) test aim to describe it by employing
kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of …
kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of …
基于表面肌电的意图识别方法在非理想条件下的研究进展
李自由， 赵新刚， 张弼， 丁其川， 张道辉， 韩建达 - 自动化学报, 2021 - aas.net.cn
在基于表面肌电信号(Surface electromyography, sEMG) 的意图识别研究领域,
目前大多数的研究主要集中在提高肌电识别的准确性方面. 然而, 在实际应用中, 基于sEMG …
目前大多数的研究主要集中在提高肌电识别的准确性方面. 然而, 在实际应用中, 基于sEMG …