Wearable Brain-Computer Interface Instrumentation for Robot-Based Rehabilitation by Augmented Reality

被引:69
作者
Arpaia, Pasquale [1 ]
Duraccio, Luigi [2 ]
Moccaldi, Nicola [1 ]
Rossi, Silvia [1 ]
机构
[1] Univ Napoli Federico II, Dept Elect Engn & Informat Technol, I-80138 Naples, Italy
[2] Ctr Reg Competenza Tecnol Scarl, I-80125 Naples, Italy
关键词
Electroencephalography; Visualization; Instruments; Glass; Robot sensing systems; Electrodes; Augmented reality (AR); brain-computer interfaces; rehabilitation robotics; smart devices; ATTENTION;
D O I
10.1109/TIM.2020.2970846
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An instrument for remote control of the robot by wearable brain-computer interface (BCI) is proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD). Augmented reality (AR) glasses generate flickering stimuli, and a single-channel electroencephalographic BCI detects the elicited steady-state visual evoked potentials (SSVEPs). This allows benefiting from the SSVEP robustness by leaving available the view of robot movements. Together with the lack of training, a single channel maximizes the device's wearability, fundamental for the acceptance by ADHD children. Effectively controlling the movements of a robot through a new channel enhances rehabilitation engagement and effectiveness. A case study at an accredited rehabilitation center on ten healthy adult subjects highlighted an average accuracy higher than 83%, with information transfer rate (ITR) up to 39 b/min. Preliminary further tests on four ADHD patients between six- and eight-years old provided highly positive feedback on device acceptance and attentional performance.
引用
收藏
页码:6362 / 6371
页数:10
相关论文
共 44 条
[1]   FOCUS: Detecting ADHD Patients by an EEG-Based Serious Game [J].
Alchalabi, Alaa Eddin ;
Shirmohammadi, Shervin ;
Eddin, Amer Nour ;
Elsharnouby, Mohamed .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2018, 67 (07) :1512-1520
[2]  
Angrisani L., IEEE T INSTRUM MEAS
[3]   A Single-Channel SSVEP-Based Instrument With Off-the-Shelf Components for Trainingless Brain-Computer Interfaces [J].
Angrisani, Leopoldo ;
Arpaia, Pasquale ;
Casinelli, Deborah ;
Moccaldi, Nicola .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 68 (10) :3616-3625
[4]  
[Anonymous], 2011, [No title captured]
[5]  
[Anonymous], 2018, Poverty and inequality Colombia Reports data
[6]   ADHD and delay aversion:: the influence of non-temporal stimulation on choice for delayed rewards [J].
Antrop, Inge ;
Stock, Pieter ;
Verte, Sylvie ;
Wiersema, Jan Roelt ;
Baeyens, Dieter ;
Roeyers, Herbert .
JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY, 2006, 47 (11) :1152-1158
[7]  
Beraldo G, 2019, IEEE SYS MAN CYBERN, P2799, DOI 10.1109/SMC.2019.8914612
[8]  
Blandon D. Z., 2016, COMPUT COLOMB CONF, DOI 10.1109/ColumbianCC.2016.7750788
[9]   Distribution of spontaneous inter-blink interval in repeated measurements with and without topical ocular anesthesia [J].
Borges, Felipe Placeres ;
Garcia, Denny Marcos ;
Velasco e Cruz, Antonio Augusto .
ARQUIVOS BRASILEIROS DE OFTALMOLOGIA, 2010, 73 (04) :329-332
[10]  
Brignone S., 2019, DIDAMATICA, V1, P199