Classification of Simultaneous Movements Using Surface EMG Pattern Recognition

A Comparison between Three Pattern Recognition Algorithms for Decoding Finger Movements Using Surface Emg

Classifying surface EMG into different movement types using different pattern recognition algorithms is often used in research in upper limb prosthetics. Several different classifiers have been explored in the literature, however none of them have made it to market for prosthetic hands. Commercially available myoelectric hands are still controlled in a fairly simple open/close manner. As the th...

Classification of Human Hand Movements Using Surface EMG for Myoelectric Control

Surface electromyogram (sEMG) is a bioelectric signal that can be captured non-invasively by placing electrodes on the human skin. The sEMG is capable of representing the action intent of nearby muscles. The research of myoelectric control using sEMG has been primarily driven by the potential to create human-machine interfaces which respond to users intentions intuitively. However, it is one of...

Real-time intelligent pattern recognition algorithm for surface EMG signals

BACKGROUND Electromyography (EMG) is the study of muscle function through the inquiry of electrical signals that the muscles emanate. EMG signals collected from the surface of the skin (Surface Electromyogram: sEMG) can be used in different applications such as recognizing musculoskeletal neural based patterns intercepted for hand prosthesis movements. Current systems designed for controlling t...

Recent Advances in EMG Pattern Recognition for Prosthetic Control

Detection and Classification of Breast Cancer in Mammography Images Using Pattern Recognition Methods

Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...