EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century

被引:188
作者
Lazarou, Ioulietta [1 ,2 ,3 ]
Nikolopoulos, Spiros [1 ]
Petrantonakis, Panagiotis C. [1 ]
Kompatsiaris, Ioannis [1 ]
Tsolaki, Magda [1 ,2 ,3 ]
机构
[1] Ctr Res & Technol Hellas, Inst Informat Technol, Thessaloniki, Greece
[2] Aristotle Univ Thessaloniki, Univ Hosp AHEPA, Sch Med, Dept Neurol 1, Thessaloniki, Greece
[3] Greek Assoc Alzheimers Dis & Related Disorders, Thessaloniki, Greece
关键词
brain-computer interfaces (BCI); electroencephalogram (EEG); slow cortical potentials (SCP); sensorimotor rhythms (SMR); P300; communication; rehabilitation; neuromuscular disorders (NMD); AMYOTROPHIC-LATERAL-SCLEROSIS; EVENT-RELATED DESYNCHRONIZATION; DIRECT-CURRENT STIMULATION; MACHINE INTERFACE; IMAGERY; BCI; HABITUATION; TECHNOLOGY; POTENTIALS; USABILITY;
D O I
10.3389/fnhum.2018.00014
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain-computer interfaces (BCIs) with the goals ranging from providing means of communication to functional rehabilitation. Here we review the research on non-invasive, electroencephalography (EEG)-based BCI systems for communication and rehabilitation. We focus on the approaches intended to help severely paralyzed and locked-in patients regain communication using three different BCI modalities: slow cortical potentials, sensorimotor rhythms and P300 potentials, as operational mechanisms. We also review BCI systems for restoration of motor function in patients with spinal cord injury and chronic stroke. We discuss the advantages and limitations of these approaches and the challenges that need to be addressed in the future.
引用
收藏
页数:18
相关论文
共 127 条
[1]   Brain computer interfacing: Applications and challenges [J].
Abdulkader, Sarah N. ;
Atia, Ayman ;
Mostafa, Mostafa-Sami M. .
EGYPTIAN INFORMATICS JOURNAL, 2015, 16 (02) :213-230
[2]   Gamma band activity associated with BCI performance: simultaneous MEG/EEG study [J].
Ahn, Minkyu ;
Ahn, Sangtae ;
Hong, Jun H. ;
Cho, Hohyun ;
Kim, Kiwoong ;
Kim, Bong S. ;
Chang, Jin W. ;
Jun, Sung C. .
FRONTIERS IN HUMAN NEUROSCIENCE, 2013, 7
[3]   Facilitating Effects of Transcranial Direct Current Stimulation on Motor Imagery Brain-Computer Interface With Robotic Feedback for Stroke Rehabilitation [J].
Ang, Kai Keng ;
Guan, Cuntai ;
Phua, Kok Soon ;
Wang, Chuanchu ;
Zhao, Ling ;
Teo, Wei Peng ;
Chen, Changwu ;
Ng, Yee Sien ;
Chew, Effie .
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2015, 96 (03) :S79-S87
[4]  
[Anonymous], 2014, FRONT NEUROSCI SWITZ
[5]   Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement [J].
Arvaneh, Mahnaz ;
Guan, Cuntai ;
Ang, Kai Keng ;
Ward, Tomas E. ;
Chua, Karen S. G. ;
Kuah, Christopher Wee Keong ;
Joseph, Gopal Ephraim Joseph ;
Phua, Kok Soon ;
Wang, Chuanchu .
NEURAL COMPUTING & APPLICATIONS, 2017, 28 (11) :3259-3272
[6]   ON THE USE OF BRAIN-COMPUTER INTERFACES OUTSIDE SCIENTIFIC LABORATORIES: TOWARD AN APPLICATION IN DOMOTIC ENVIRONMENTS [J].
Babiloni, F. ;
Cincotti, F. ;
Marciani, M. ;
Salinari, S. ;
Astolfi, L. ;
Aloise, F. ;
Fallani, F. De Vico ;
Mattia, D. .
BRAIN MACHINE INTERFACES FOR SPACE APPLICATIONS: ENHANCING ASTRONAUT CAPABILITIES, 2009, 86 :133-146
[7]  
BACH JR, 1993, AM J PHYS MED REHAB, V72, P343
[8]   Asymmetric spatiotemporal patterns of event-related desynchronization preceding voluntary sequential finger movements: a high-resolution EEG study [J].
Bai, O ;
Mari, Z ;
Vorbach, S ;
Hallett, M .
CLINICAL NEUROPHYSIOLOGY, 2005, 116 (05) :1213-1221
[9]   A high performance sensorimotor beta rhythm-based brain-computer interface associated with human natural motor behavior [J].
Bai, Ou ;
Lin, Peter ;
Vorbach, Sherry ;
Floeter, Mary Kay ;
Hattori, Noriaki ;
Hallett, Mark .
JOURNAL OF NEURAL ENGINEERING, 2008, 5 (01) :24-35
[10]  
Ball LJ, 2010, J MED SPEECH-LANG PA, V18, P11