BioMed Research International

Neural Engineering for Rehabilitation


Status
Published

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

2Hanyang University, Seoul, Republic of Korea

3Georg-August University, Göttingen, Germany

4Rehabilitation Institute of Chicago, Chicago, USA


Neural Engineering for Rehabilitation

Description

According to the World Health Organization (WHO), up to one billion people suffer from neurological disorders, such as migraine, stroke, multiple sclerosis, epilepsy, and Alzheimer’s and Parkinson’s disease. In 2010, the economic cost of brain-related disorders was estimated at € 798 billion in Europe and psychiatric diseases alone at $ 2.5 trillion worldwide, and it is expected to increase every year. Despite the serious situation and burden, unfortunately, there are little fundamental solutions for the treatment of neurological diseases. Consequently, demands for effective and efficient rehabilitation are increasing to help patients with neurological disorders restore impaired cognitive and physical functions. Neural engineering has played a crucial role in advancing neurorehabilitation technologies by not only providing better understanding of underlying mechanisms of nerve system but also developing novel assistive and rehabilitation tools. This special issue aims to share the current state-of-the-art trends and future directions in the field of neural engineering for rehabilitation, thereby encouraging the further development of neurorehabilitation technologies.

We invite researchers to submit original research articles, clinical studies, and review articles that contribute to the advance of neurorehabilitation technologies based on electroencephalography (EEG), electromyography (EMG), and/or other related physiological signals. Research related to the development of rehabilitation and assistive tools/methods/systems and investigation of their direct/potential effect on rehabilitation will be considered for publication in the special issue. The research does not necessarily have to be restricted to clinical trials or evaluations; we also welcome laboratory based studies that can be potentially used for neurorehabilitation in clinical practice.

Potential topics include but are not limited to the following:

  • Development and evaluation of assistive and rehabilitation tools/methods/systems (e.g., prostheses and exoskeleton)
  • Brain computer interface/brain machine interface (BCI/BMI)
  • Cognitive rehabilitation (e.g., neurofeedback and cognitive enhancement therapy/training)
  • Robotic rehabilitation (e.g., robot-assisted gait training and robot-assisted upper limb rehabilitation)
  • Myoelectric control: novel control algorithms and training strategies
  • Electrical/magnetic stimulation for neurorehabilitation (tDCS, TMS, and FES)
  • Neurorehabilitation based on multimodal approach (e.g., EEG + EMG and TMS + NIRS)
  • Novel therapeutic approach
  • Neuroplasticity

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 9638098
  • - Editorial

Neural Engineering for Rehabilitation

Han-Jeong Hwang | Do-Won Kim | ... | Jongsang Son
  • Special Issue
  • - Volume 2017
  • - Article ID 9816591
  • - Research Article

EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN

Ridha Djemal | Khalil AlSharabi | ... | Abdullah Alsuwailem
  • Special Issue
  • - Volume 2017
  • - Article ID 6820482
  • - Research Article

Evaluation of a Compact Hybrid Brain-Computer Interface System

Jaeyoung Shin | Klaus-Robert Müller | ... | Han-Jeong Hwang
  • Special Issue
  • - Volume 2017
  • - Article ID 4185939
  • - Research Article

Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism

Lizheng Pan | Aiguo Song | ... | Zhuqing Yu
  • Special Issue
  • - Volume 2016
  • - Article ID 2618265
  • - Research Article

Vowel Imagery Decoding toward Silent Speech BCI Using Extreme Learning Machine with Electroencephalogram

Beomjun Min | Jongin Kim | ... | Boreom Lee
  • Special Issue
  • - Volume 2016
  • - Article ID 2826905
  • - Research Article

Integrative Evaluation of Automated Massage Combined with Thermotherapy: Physical, Physiological, and Psychological Viewpoints

Do-Won Kim | Dae Woon Lee | ... | Hansung Kim
  • Special Issue
  • - Volume 2016
  • - Article ID 1584947
  • - Research Article

Effect of Anodal-tDCS on Event-Related Potentials: A Controlled Study

Ahmed Izzidien | Sriharasha Ramaraju | ... | Peter W. McCarthy
  • Special Issue
  • - Volume 2016
  • - Article ID 5469587
  • - Research Article

Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal

Hamidreza Namazi | Amin Akrami | ... | Vladimir V. Kulish
  • Special Issue
  • - Volume 2016
  • - Article ID 3939815
  • - Research Article

Data-Driven User Feedback: An Improved Neurofeedback Strategy considering the Interindividual Variability of EEG Features

Chang-Hee Han | Jeong-Hwan Lim | ... | Chang-Hwan Im
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision76 days
Acceptance to publication53 days
CiteScore2.410
Impact Factor2.197
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