Electromyography (EMG) signals are becoming increasingly important in many applications,
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …

This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable
Hardware Chip (EHW) development, and modern human computer interaction. EMG signals …

The development of an advanced human–machine interface has always been an interesting
research topic in the field of rehabilitation, in which biomedical signals, such as myoelectric …

This paper proposes and evaluates the application of support vector machine (SVM) to
classify upper limb motions using myoelectric signals. It explores the optimum configuration …

Muscle fatigue is an established area of research and various types of muscle fatigue have
been investigated in order to fully understand the condition. This paper gives an overview of …

Integration of surface EMG sensors as an input source for Human Machine Interfaces (HMIs)
is getting an increasing attention due to their application in wearable devices such as …

Several efforts have been carried out to enhance dexterous hand prosthesis control by
impaired individuals. Choosing which voluntary signal to use for control purposes is a critical …

We evaluated real-time myoelectric pattern recognition control of a virtual arm by transradial
amputees. Five unilateral patients performed 10 wrist and hand movements using their …

A novel method for the control of a myoelectric upper limb prosthesis was achieved in a
patient with bilateral amputations at the shoulder disarticulation level. Four independently …