Invasive electromyography is a well-established diagnostic tool that has been used for decades by neurologists. Recently, new and alternative devices have increasingly become available that permit diagnosis without the use of needles. This developing area of science and the new tools have not, however, been sufficiently investigated in academic training. Consequently a gap exists between what science is making possible and the competence acquired during graduate studies. This handy volume has the aim of filling this gap by providing the information required by medical practitioners in rehabilitation, sports, and occupational health as well as by rehabilitation therapists, ergonomists, and sport coaches. The techniques that are presented and explained will help in monitoring and recording changes, evaluating the effectiveness of treatments and training, evaluating work stations, and preventing and documenting the evolution of occupational disorders of the neuromuscular system.

"This book provides 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"--Provided by publisher.

Reflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing and interpretation Addresses EMG imaging technology together with the issue of decomposition of surface EMG Includes advanced single and multi-channel techniques for information extraction from surface EMG signals Presents the analysis and information extraction of surface EMG at various scales, from motor units to the concept of muscle synergies.

This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.

Physical rehabilitation for walking recovery after spinal cord injury is undergoing a paradigm shift. Therapy historically has focused on compensation for sensorimotor deficits after SCI using wheelchairs and bracing to achieve mobility. With locomotor training, the aim is to promote recovery via activation of the neuromuscular system below the level of the lesion. What basic scientists have shown us as the potential of the nervous system for plasticity, to learn, even after injury is being translated into a rehabilitation strategy by taking advantage of the intrinsic biology of the central nervous system. While spinal cord injury from basic and clinical perspectives was the gateway for developing locomotor training, its application has been extended to other populations with neurologic dysfunction resulting in loss of walking or walking disability.