Fusion of video and motion data: engineering tasks and clinical applicability

Status of a new project – focusing on technical aspects of fusion of live video and data from optical motion tracking – is summarized. Also, the signifi cance of development in two areas is marked out: (1) in clinical fi eld of endoscopic surgeries as demonstrating and training tool; (2) in biomechanical research for accurate detection of human motion curves. DOI: 10.17489/biohun/2010/1/2

Computational Intelligence in Electromyography Analysis

Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research