This Research Topic aims to collect all the Case Reports submitted to the Neurorehabilitation section. All the Case Reports submitted to this collection will be personally assessed by the Specialty Chief Editor before the beginning of the peer-review process. Please make sure your article adheres to the following guidelines before submitting it.
"This handbook is meant to guide you through post-acute holistic rehabilitation for patients with acquired brain injuries. Holistic milieu neurorehabilitation is defined as an interactive approach to treat the "whole person" using multimodal, individual and group therapies in the fields of neuropsychology/rehabilitation psychology, speech therapy, occupational therapy, physical therapy, recreational therapy, vocational counseling, nutrition, social work, and psychiatry. The patient and support network actively collaborate with the treatment team to ascertain and attain functional goals in the home and community, including productive school and work. Cognitive, language, communication, emotional, functional, interpersonal, spiritual, and quality of life aspects are addressed using restorative and compensatory interdisciplinary approaches. Superseding goals are enhanced fundamental life skills, well-being, and quality of life"--
In recent years, major results were reported on Brain-Computer Interface / Brain-Machine Interface (BCI/BMI) applied to rehabilitation in scientific reports and papers. This subject received much attention within the Society on Communication, Navigation, Sensing and Services (CONASENSE) during the period 2013-2015. Describing the state of the art on various BCI/BMI activities related to neuro-rehabilitation is the central theme of this book.The latest insights coming from neurophysiologists, neuropsychologists, ICT experts specialized in clinical data management and from representatives of patient organizations are elucidated and new ways for “BCI/BMI applied to rehabilitation” using advanced ICT are introduced. The book describes the latest progress in and is an appeal for an approach leading to more cost-saving multi-disciplinary neuro-rehabilitation. This book covers the following topics: • Overview on BCI/BMI applied to rehabilitation• ICT for Neuro-rehabilitation• ICT for new generation prostheses• Gaze tracking, facial orientation determination, face and emotion recognition in 3D space for neuro-rehabilitation applications• Integrated perspective for future wide spread integration of motor neuro-rehabilitation• Ethical issues in the use of Information and Communication Technologies in the health care of patients with neurological disorders
Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the different possibilities of providing AI based neuro-rehabilitation methods to treat neurological disorders. This book provides in-depth knowledge on the challenges and solutions associated with the different varieties of neuro-rehabilitation through the inclusion of case studies and real-time scenarios in different geographical locations. Beginning with an overview of neuro-rehabilitation applications, the book discusses the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment, Brain Computer Interface for post-stroke patients, developing assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries. Topics also include AI-based video games to improve the brain performances in children with autism and ADHD, deep learning approaches and magnetoencephalography data for limb movement, EEG signal analysis, smart sensors, and the application of robotic concepts for gait control. Incorporates artificial intelligence techniques into neuro-rehabilitation and presents novel ideas for this process Provides in-depth case studies and state-of-the-art methods, along with the experimental study Presents a block diagram based complete set-up in each chapter to help in real-time implementation
