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This 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
