Literature DB >> 25193343

Brain-computer interface after nervous system injury.

Alexis Burns1, Hojjat Adeli2, John A Buford3.   

Abstract

Brain-computer interface (BCI) has proven to be a useful tool for providing alternative communication and mobility to patients suffering from nervous system injury. BCI has been and will continue to be implemented into rehabilitation practices for more interactive and speedy neurological recovery. The most exciting BCI technology is evolving to provide therapeutic benefits by inducing cortical reorganization via neuronal plasticity. This article presents a state-of-the-art review of BCI technology used after nervous system injuries, specifically: amyotrophic lateral sclerosis, Parkinson's disease, spinal cord injury, stroke, and disorders of consciousness. Also presented is transcending, innovative research involving new treatment of neurological disorders.
© The Author(s) 2014.

Entities:  

Keywords:  Parkinson’s disease; brain-computer-interface; computational neuroscience; signal processing; wavelets

Mesh:

Year:  2014        PMID: 25193343     DOI: 10.1177/1073858414549015

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  8 in total

1.  Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis.

Authors:  Rongrong Fu; Yongsheng Tian; Tiantian Bao; Zong Meng; Peiming Shi
Journal:  J Med Syst       Date:  2019-05-07       Impact factor: 4.460

Review 2.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

Review 3.  Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation.

Authors:  Laura Carelli; Federica Solca; Andrea Faini; Paolo Meriggi; Davide Sangalli; Pietro Cipresso; Giuseppe Riva; Nicola Ticozzi; Andrea Ciammola; Vincenzo Silani; Barbara Poletti
Journal:  Biomed Res Int       Date:  2017-08-23       Impact factor: 3.411

4.  A Ternary Brain-Computer Interface Based on Single-Trial Readiness Potentials of Self-initiated Fine Movements: A Diversified Classification Scheme.

Authors:  Elias Abou Zeid; Alborz Rezazadeh Sereshkeh; Benjamin Schultz; Tom Chau
Journal:  Front Hum Neurosci       Date:  2017-05-24       Impact factor: 3.169

Review 5.  Progress in EEG-Based Brain Robot Interaction Systems.

Authors:  Xiaoqian Mao; Mengfan Li; Wei Li; Linwei Niu; Bin Xian; Ming Zeng; Genshe Chen
Journal:  Comput Intell Neurosci       Date:  2017-04-05

6.  Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain-Machine Interface (BMI).

Authors:  Umer Asgher; Muhammad Jawad Khan; Muhammad Hamza Asif Nizami; Khurram Khalil; Riaz Ahmad; Yasar Ayaz; Noman Naseer
Journal:  Front Neurorobot       Date:  2021-03-18       Impact factor: 2.650

7.  Effects of a Brain-Computer Interface-Operated Lower Limb Rehabilitation Robot on Motor Function Recovery in Patients with Stroke.

Authors:  Chao Li; Jinyu Wei; Xiaoqun Huang; Qiang Duan; Tingting Zhang
Journal:  J Healthc Eng       Date:  2021-12-20       Impact factor: 2.682

Review 8.  Communication Matters-Pitfalls and Promise of Hightech Communication Devices in Palliative Care of Severely Physically Disabled Patients With Amyotrophic Lateral Sclerosis.

Authors:  Katharina Linse; Elisa Aust; Markus Joos; Andreas Hermann
Journal:  Front Neurol       Date:  2018-07-27       Impact factor: 4.003

  8 in total

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