Engineering in Medicine and Biology Society, 1988: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988, 1988, vol.3Analysis of EMG signals during dynamicmovements: parametric analysis based on the simulation. Kiryu T,Suzuki M,Saitoh Y,...
R. (2014). Fourier and Wavelet Spectral Analysis of EMG Signals in 1-km Cycling Time-Trial. Applied Mathematics, 2014.Marcelo Bigliassi, Paulo Rogerio Scalassara, Thiago Ferreira Dias Kanthack,Taufik Abrao, Antonio Carlos de Moraes, Leandro Ricardo Altimari,"Fourier and Wavelet Spectral Analysis...
The electromyographic (EMG) signal observed at the surface of the skin is the sum of thousands of small potentials generated in the muscle fiber. There are many approaches to analyzing EMG signals with spectral techniques. In this study, the short time Fourier Transform (STFT) and wavelet transf...
Evaluation of synchronization between signals can give new insights into the functioning of the related systems. Methods that can detect synchronization or coupling between signals can be divided two types: linear and non linear methods. In this paper we use the non linear correlation coefficient (h...
Correlation Analysis of Electromyogram (EMG) Signals for Multi-User Myoelectric Interfaces. R Khushaba - IEEE Trans Neural Syst Rehabil Eng 被引量: 0发表: 2014年 Correlation Analysis of Electromyogram Signals An inability to adapt myoelectric interfaces to a user's unique style of hand motion. The...
肌电信号递归图法递归图定量分析方法递归率In this paper,the methods of Recurrence Plots and Recurrence Quantification Analysis are introduced.For four motion patterns,different structures are showed in RPs.The recurrence rates of two-channel EMG signals during four types' of motions are calculated using...
rehabilitationsignal processingupper limbUsing electromyogram (EMG) signals to control upper-limb prostheses is an important clinical option, offering a person ... E Scheme,K Englehart - 《Journal of Rehabilitation Research & Development》 被引量: 494发表: 2011年 Electromyogram-triggered neuromuscular ...
Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients Currently in the world there is an alarming number of people who suffer from sleep disorders. A number of biomedical signals, such as EEG, EMG, ECG and EOG... F Ebrahimi,M Mika...
The GPS signals are transformed into the data processing software, and the GPS monitoring displacements are stored in the computer server. The HC monitor is used in this study as data processing software36. The HCMAS software based on the mixed-architecture of B/S and C/S is used as the ...
Electromyography (EMG) signals can be used for clinical or biomedical applications as a tool for understanding muscle behavior and activity during static as well as dynamic states. In this paper, the authors aim to compare the EMG activity recorded from a selected group of leg muscles during walk...