02627nam 2200409 450 991058333380332120230120002749.00-12-814598-6(CKB)4100000005879492(MiAaPQ)EBC5494765(EXLCZ)99410000000587949220180911d2018 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced rehabilitative technology neural interfaces and devices /Qingsong Ai [and three others]London, United Kingdom :Academic Press, an imprint of Elsevier,[2018]©20181 online resource (278 pages) illustrations0-12-814597-8 Introduction -- State-of-the-art -- Neuromuscular signal acquisition and processing -- sEMG-based motion recognition -- Brain signal acquisition and preprocessing -- EEG-based brain intention recognition -- Neuromuscular modeling -- Neural interface -- Conclusion and future prospects.Advanced Rehabilitative Technology: Neural Interfaces and Devices teaches readers how to acquire and process bio-signals using biosensors and acquisition devices, how to identify the human movement intention and decode the brain signal, how to design physiological and musculoskeletal models and establish the neural interfaces, and how to develop neural devices and control them efficiently using biological signals. The book takes a multidisciplinary theme between the engineering and medical field, including sections on neuromuscular/brain signal processing, human motion and intention recognition, biomechanics modelling and interfaces, and neural devices and control for rehabilitation. Each chapter goes through a detailed description of the bio-mechatronic systems used and then presents implementation and testing tactics. In addition, it details new neural interfaces and devices, some of which have never been published before in any journals or conferences. With this book, readers will quickly get up-to-speed on the most recent and future advancements in bio-mechatronics engineering for applications in rehabilitation.Rehabilitation technologyMedical rehabilitationRehabilitation technology.Medical rehabilitation.617.03Ai Qingsong963231MiAaPQMiAaPQMiAaPQBOOK9910583333803321Advanced rehabilitative technology2183986UNINA