Results 241 to 250 of about 173,785 (311)

EMG monitoring

2022
While most neurophysiologists are familiar with electromyography (EMG) for the purpose of clinical diagnostics, this technique also has a long tradition for neuro-monitoring. In short, intra-operative use of EMG can be divided into stimulated EMG on the one hand and monitoring of the free-running EMG and its spontaneous activity on the other hand ...
Julian, Prell, Stanley, Skinner
openaire   +2 more sources

Stress detection using ECG and EMG signals: A comprehensive study

Comput. Methods Programs Biomed., 2020
BACKGROUND AND OBJECTIVE In recent years, stress and mental health have been considered as important worldwide concerns. Stress detection using physiological signals such as electrocardiogram (ECG), skin conductance (SC), electromyogram (EMG) and ...
S. Pourmohammadi, A. Maleki
semanticscholar   +1 more source

A novel, co-located EMG-FMG-sensing wearable armband for hand gesture recognition

, 2020
Gestures play an important role in human-computer interaction, providing a potentially intuitive way to bridge the gap between human intention and the control of smart devices.
Shuo Jiang, Qinghua Gao, Huai-xia Liu, P. Shull   +3 more
semanticscholar   +1 more source

Regression convolutional neural network for improved simultaneous EMG control

Journal of Neural Engineering, 2019
Objective. Deep learning models can learn representations of data that extract useful information in order to perform prediction without feature engineering.
Ali Ameri, M. Akhaee, E. Scheme, K. Englehart   +3 more
semanticscholar   +1 more source

A Practical and Adaptive Method to Achieve EMG-Based Torque Estimation for a Robotic Exoskeleton

IEEE/ASME transactions on mechatronics, 2019
To improve the efficacy of robotic exoskeleton-based rehabilitation training, active joint torque of subjects should be detected. This paper presents a practical and adaptive method to estimate active joint torque using electromyography (EMG) signals for
Kai Gui, Honghai Liu, Dingguo Zhang
semanticscholar   +1 more source

EMG-EMG correlation analysis for human hand movements

2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS), 2013
In this paper, a novel electromyogram (EMG)-EMG correlation analysis method is proposed to identify human hand movements. Mutual information (MI) measure is employed to analyse the ordinal pattern of the surface EMG recordings. The MI measure is extracted from EMG signals and compared with other various sEMG features in the time and frequency domains ...
Zhaojie Ju, Gaoxiang Ouyang, Honghai Liu 0001   +2 more
openaire   +1 more source

Design of Microcontroller-Based EMG and the Analysis of EMG Signals

Journal of Medical Systems, 2002
In this work, a microcontroller-based EMG designed and tested on 40 patients. When the patients are in rest, the fast Fourier transform (FFT) analysis was applied to EMG signals recorded from right leg peroneal region. The histograms are constructed from the results of the FFT analysis.
Nihal Fatma, Güler, Firat, Hardalaç
openaire   +2 more sources

The role of EMG awareness in EMG biofeedback learning

Biofeedback and Self-Regulation, 1995
Underlying most research on biofeedback learning is a theoretical model of the processes involved. The current study tested a prediction from the Awareness Model: High initial EMG awareness should facilitate response control during EMG biofeedback training.
openaire   +2 more sources

EMG Circuit Design and AR Analysis of EMG Signs

Journal of Medical Systems, 2004
In this study, electromyogram (EMG) circuit was designed and tested on 27 people. Autoregressive (AR) analysis of EMG signals recorded on the ulnar nerve region of the right hand in resting position was performed. AR method, especially in the calculation of the spectrums of stable signs, is used for frequency analysis of signs, which give frequency ...
Firat, Hardalaç, Rahmi, Canal
openaire   +2 more sources

Macro-EMG in mitochondriopathy

Clinical Neurophysiology, 1999
In a previous macro-EMG study on patients with mitochondriopathy, macro-MUAP amplitude has been shown to be the electromyographic parameter most often abnormal. We wanted to investigate the role of the macro-MUAP area and if macro-EMG is more helpful than conventional needle-EMG in detecting involvement of the skeletal muscle in patients with ...
Finsterer, J, Fuglsang-Frederiksen, A; id_orcid 0000-0003-3926-5287   +1 more
openaire   +3 more sources