Surface Electromyography Signal Processing and Classification Techniques

Surface Electromyography Signal Processing and Classification Techniques

Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more. However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance in the above applications. Detection, processing and classification analysis in electromyography...

Simulation and Processing Techniques of Surface Electromyography Signal to Control a Lower Extremity Exoskeleton

In recent years, surface electromyography (sEMG) signals which reflect directly human muscle activity have played a significant role in control of a lower extremity exoskeleton system. Our study concentrates on simulation and processing techniques of sEMG signal that we are applying to our exoskeleton robot. Simulation and experiment results are presented and analyzed deeply to validate the tec...

Wavelet-Based Signal Processing Techniques For Disturbance Classification and Measurement

This paper presents the wavelet domain theoretical basis for rms value and total harmonic distortion measurements. It provides a systematic method for analyzing power system disturbances in the wavelet domain. The wavelet domain capabilities in detection, classification, and measurements of different power system disturbances are presented. The distortion event is mapped into the wavelet domain...

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

Advanced Signal Processing Techniques for Single Trial Electroencephalography Signal Classification for Brain Computer Interface Applications