Automation in Tele-Neurorehabilitation

This edited volume, featuring contributions from authors around the world, presents practical information on cutting-edge technologies for automated diagnoses and interventions for long-term tele-neurorehabilitation. As tele-neurorehabilitation is increasingly augmenting traditional centralized and face-to-face rehabilitation services, in-depth practical knowledge is becoming increasingly necessary. This book therefore collates current leading research on various technologies and processes to provide readers with a holistic view of the topic. Readers will gain knowledge on the clinical effectiveness and efficiency of various technology-assisted interventions with supporting information from trials and pioneering translational studies. The book summarizes valuable and cross-disciplinary experiences and knowledges from experts in the field. Each chapter presents the theoretical backbone, implementing methods, and patient outcomes. The book is divided into three sections: first on quantitative neurological and behavioral evaluations, second on automations in rehabilitative intervention, and third on the industrialization of tele-neurorehabilitation. The overall structure flows from fundamental research in the upper stream to midstream clinical trials and finally to translational applications and commercialization in the downstream in the bioinstrumentation and rehabilitation service industries. This focus and structure will enable practitioners to facilitate patients' self-help operations in unconventional environments such as at home or in outdoor spaces, with remote professional supervision in the flexible management of telerehabilitation. This book is an important reference book for postgraduate students and professionals in fields related to the bioinstrumentation and rehabilitation service industries. This includes biomedical engineering, rehabilitation engineering, bioinstrumentation, neuroscience, clinical rehabilitation, and entrepreneurship of medical and healthcare devices.

Xiaoling Hu is an associate professor in the Department of Biomedical Engineering at the Hong Kong Polytechnic University. She obtained her PhD in 2002 from the Chinese University of Hong Kong. Her research interests cover robotic Internet of Things (IoT) for telerehabilitation, artificial intelligence and data technology for automated theranostics, neural engineering for smart aging, and translation research in stroke rehabilitation. Zengyong Li is a professor and the director of the Department of Rehabilitation Training at the National Research Center for Rehabilitation Technical Aids, Beijing. He obtained his PhD from Shanghai Jiao Tong University in 2003. His research interests are functional neuroimaging, neuromodulation for rehabilitation, intelligent assistive technology, and translational medicine.

1. Functional Near Infrared Imaging (fNIRS) for Neurological Evaluation 2. Advancing Electroencephalogram in Tele-Neurorehabilitation: Integrating Wearable Technology and Multimodal Systems 3. Biomechanical Evaluation of Neuromusculoskeleton 4. Evaluations of Cortico-Muscular Functional Connectivity: Methods and Applications 5. Machine learning methods for functional recovery prediction and prognosis 6. Mobile upper limb robots for self-help telerehabilitation 7. Translating telerehabilitation after stroke from laboratory to clinical service 8. Mobile trans-spinal electrical stimulation (tsES) therapy for spinal cord injury (SCI) 9. Transcranial Electrical Stimulation in Remote Rehabilitation: Applications, Challenges, and Future 10. Virtual Reality for Telerehabilitation 11. Application of Telerehabilitation in Tertiary Level Community Rehabilitation Center 12. Commercialization of Telerehabilitation Robots 13. The Practice and Application of Intelligent Rehabilitation in Clinical Practice