PRINCIPLES OF MOTOR RECOVERY IN POST-STROKE PATIENTS USING HAND EXOSKELETON CONTROLLED BY THE BRAIN-COMPUTER INTERFACE BASED ON MOTOR IMAGERY

被引：24

作者：

Frolov, A. A. ^{[1
,2
,4
]}

Husek, D. ^{[3
]}

Biryukova, E. V. ^{[1
,4
]}

Bobrov, P. D. ^{[1
,4
]}

Mokienko, O. A. ^{[4
,5
]}

Alexandrov, A. V. ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Higher Nervous Act & Neurophysiol, Moscow, Russia

[2] Tech Univ Ostrava, FEI, Ostrava, Czech Republic

[3] Czech Acad Sci, Inst Comp Sci, Prague, Czech Republic

[4] Russian Natl Res Med Univ, Moscow, Russia

[5] Res Ctr Neurol, Moscow, Russia

来源：

NEURAL NETWORK WORLD | 2017年 / 27卷 / 01期

关键词：

brain computer interface; motor imagery; post-stroke and post-traumatic patients; arm and hand exoskeleton; proportional derivative controller; motor synergy; clinical application; BIOMECHANICAL ANALYSIS; STROKE REHABILITATION; MOVEMENT STRATEGIES; ARM; RELEVANT; DYNAMICS; MODEL; CLASSIFICATION; RELIABILITY; PERFORMANCE;

D O I：

10.14311/NNW.2017.27.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Motor recovery in post-stroke and post-traumatic patients using exoskeleton controlled by the brain-computer interface (BCI) is a new and promising rehabilitation procedure. Its development is a multidisciplinary research which requires, the teamwork of experts in neurology, neurophysiology, physics, mathematics, biomechanics and robotics. Some aspects of all these fields of study concerning the development of this rehabilitation procedure are described in the paper. The description includes the principles and physiological prerequisites of BCI based on motor imagery, biologically adequate principles of exoskeleton design and control and the results of clinical application.

引用

页码：107 / 137

页数：31

共 95 条

[81]

Pfurtscheller G., 1999, EEG event-related desynchronization (ERD) and event-related synchronization (ERS). Electroencephalography: basic principles, clinical applications, P958

[82] Assessment of the accuracy of a human arm model with seven degrees of freedom [J].

Prokopenko, RA ;

Frolov, AA ;

Biryukova, EV ;

Roby-Brami, A .

JOURNAL OF BIOMECHANICS, 2001, 34 (02) :177-185

[83] Brain-Machine Interface in Chronic Stroke Rehabilitation: A Controlled Study [J].

Ramos-Murguialday, Ander ;

Broetz, Doris ;

Rea, Massimiliano ;

Laeer, Leonhard ;

Yilmaz, Oezge ;

Brasil, Fabricio L. ;

Liberati, Giulia ;

Curado, Marco R. ;

Garcia-Cossio, Eliana ;

Vyziotis, Alexandros ;

Cho, Woosang ;

Agostini, Manuel ;

Soares, Ernesto ;

Soekadar, Surjo ;

Caria, Andrea ;

Cohen, Leonardo G. ;

Birbaumer, Niels .

ANNALS OF NEUROLOGY, 2013, 74 (01) :100-108

[84] Rhythms in the alpha band in cats and their behavioural correlates [J].

RougeulBuser, A ;

Buser, P .

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 1997, 26 (1-3) :191-203

[85] RELIABILITY OF THE FUGL-MEYER ASSESSMENT FOR TESTING MOTOR-PERFORMANCE IN PATIENTS FOLLOWING STROKE [J].

SANFORD, J ;

MORELAND, J ;

SWANSON, LR ;

STRATFORD, PW ;

GOWLAND, C .

PHYSICAL THERAPY, 1993, 73 (07) :447-454

[86] Effect of lesion location on upper limb motor recovery after stroke [J].

Shelton, FDAP ;

Reding, MJ .

STROKE, 2001, 32 (01) :107-112

[87] Fine modulation in network activation during motor execution and motor imagery [J].

Solodkin, A ;

Hlustik, P ;

Chen, EE ;

Small, SL .

CEREBRAL CORTEX, 2004, 14 (11) :1246-1255

[88] New treatments in neurorehabilitation founded on basic research [J].

Taub, E ;

Uswatte, G ;

Elbert, T .

NATURE REVIEWS NEUROSCIENCE, 2002, 3 (03) :228-236

[89] Global stroke statistics [J].

Thrift, Amanda G. ;

Cadilhac, Dominique A. ;

Thayabaranathan, Tharshanah ;

Howard, George ;

Howard, Virginia J. ;

Rothwell, Peter M. ;

Donnan, Geoffrey A. .

INTERNATIONAL JOURNAL OF STROKE, 2014, 9 (01) :6-18

[90] TOWARD DIRECT BRAIN-COMPUTER COMMUNICATION [J].

VIDAL, JJ .

ANNUAL REVIEW OF BIOPHYSICS AND BIOENGINEERING, 1973, 2 :157-180

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