Design and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopy

Berdakh Abibullaev, Jinung An, Seung Hyun Lee, Jeon Il Moon

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The integration of Brain-Computer-Interfaces (BCI) into rehabilitation research is a promising approach that may substantially impact the rehabilitation success. Yet, there is still significant challenges that needs to be addressed before the BCI technology can be fully used effectively in a clinical setting as a neural prosthesis for motor impaired users. As it is still unknown whether the conventional BCI induction strategies that use different the types of stimuli and/or mental tasks induce cortical reorganization for disabled users. This paper presents a design and evaluation of a real-time Near-Infrared Spectroscopy (NIRS) based BCI protocol to control an external haptic device, and an interesting source of brain signals that may convey complementary information for inducing neuroplasticity. The protocol is based on the ideas derived from Mirror-based Therapy (MT) in which subjects not only perform literal motor imagery tasks but also combine their intents with visual action observation of a related motor imagery task. The NIRS-BCI system then commands a haptic device in real-time to move in opposing directions of leftward and rightward movement. We also compare the proposed protocol to the conventional limb motor imagery task and verify its efficacy with online decoding accuracies up to 94.99%. The initial validation of the experimental setup was done with seven healthy subjects. Nonetheless we contend that the design of the current NIRS-BCI method hold promise with patient populations for effective stroke rehabilitation therapy, because the beneficial effects of MT alone in post-stroke recovery has already been manifested in the literature.

Original languageEnglish
Pages (from-to)250-261
Number of pages12
JournalMeasurement: Journal of the International Measurement Confederation
Volume98
DOIs
Publication statusPublished - Feb 1 2017

Fingerprint

Near-infrared Spectroscopy
Brain computer interface
Near infrared spectroscopy
imagery
brain
infrared spectroscopy
evaluation
Evaluation
Rehabilitation
Patient rehabilitation
Therapy
rehabilitation
Haptic Device
therapy
stroke
strokes
Stroke
Mirrors
Neural prostheses
Mirror

Keywords

  • BCI for neural rehabilitation
  • Brain-computer interface
  • Channel localization
  • Haptic device
  • Mirror therapy
  • Multiple support vector machines
  • Near-infrared spectroscopy
  • PCA

ASJC Scopus subject areas

  • Statistics and Probability
  • Education
  • Condensed Matter Physics
  • Applied Mathematics

Cite this

Design and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopy. / Abibullaev, Berdakh; An, Jinung; Lee, Seung Hyun; Moon, Jeon Il.

In: Measurement: Journal of the International Measurement Confederation, Vol. 98, 01.02.2017, p. 250-261.

Research output: Contribution to journalArticle

@article{9eeebef15c0343d795a46ce3c9fcf45c,
title = "Design and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopy",
abstract = "The integration of Brain-Computer-Interfaces (BCI) into rehabilitation research is a promising approach that may substantially impact the rehabilitation success. Yet, there is still significant challenges that needs to be addressed before the BCI technology can be fully used effectively in a clinical setting as a neural prosthesis for motor impaired users. As it is still unknown whether the conventional BCI induction strategies that use different the types of stimuli and/or mental tasks induce cortical reorganization for disabled users. This paper presents a design and evaluation of a real-time Near-Infrared Spectroscopy (NIRS) based BCI protocol to control an external haptic device, and an interesting source of brain signals that may convey complementary information for inducing neuroplasticity. The protocol is based on the ideas derived from Mirror-based Therapy (MT) in which subjects not only perform literal motor imagery tasks but also combine their intents with visual action observation of a related motor imagery task. The NIRS-BCI system then commands a haptic device in real-time to move in opposing directions of leftward and rightward movement. We also compare the proposed protocol to the conventional limb motor imagery task and verify its efficacy with online decoding accuracies up to 94.99{\%}. The initial validation of the experimental setup was done with seven healthy subjects. Nonetheless we contend that the design of the current NIRS-BCI method hold promise with patient populations for effective stroke rehabilitation therapy, because the beneficial effects of MT alone in post-stroke recovery has already been manifested in the literature.",
keywords = "BCI for neural rehabilitation, Brain-computer interface, Channel localization, Haptic device, Mirror therapy, Multiple support vector machines, Near-infrared spectroscopy, PCA",
author = "Berdakh Abibullaev and Jinung An and Lee, {Seung Hyun} and Moon, {Jeon Il}",
year = "2017",
month = "2",
day = "1",
doi = "10.1016/j.measurement.2016.12.001",
language = "English",
volume = "98",
pages = "250--261",
journal = "Measurement",
issn = "1536-6367",
publisher = "Elsevier",

}

TY - JOUR

T1 - Design and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopy

AU - Abibullaev, Berdakh

AU - An, Jinung

AU - Lee, Seung Hyun

AU - Moon, Jeon Il

PY - 2017/2/1

Y1 - 2017/2/1

N2 - The integration of Brain-Computer-Interfaces (BCI) into rehabilitation research is a promising approach that may substantially impact the rehabilitation success. Yet, there is still significant challenges that needs to be addressed before the BCI technology can be fully used effectively in a clinical setting as a neural prosthesis for motor impaired users. As it is still unknown whether the conventional BCI induction strategies that use different the types of stimuli and/or mental tasks induce cortical reorganization for disabled users. This paper presents a design and evaluation of a real-time Near-Infrared Spectroscopy (NIRS) based BCI protocol to control an external haptic device, and an interesting source of brain signals that may convey complementary information for inducing neuroplasticity. The protocol is based on the ideas derived from Mirror-based Therapy (MT) in which subjects not only perform literal motor imagery tasks but also combine their intents with visual action observation of a related motor imagery task. The NIRS-BCI system then commands a haptic device in real-time to move in opposing directions of leftward and rightward movement. We also compare the proposed protocol to the conventional limb motor imagery task and verify its efficacy with online decoding accuracies up to 94.99%. The initial validation of the experimental setup was done with seven healthy subjects. Nonetheless we contend that the design of the current NIRS-BCI method hold promise with patient populations for effective stroke rehabilitation therapy, because the beneficial effects of MT alone in post-stroke recovery has already been manifested in the literature.

AB - The integration of Brain-Computer-Interfaces (BCI) into rehabilitation research is a promising approach that may substantially impact the rehabilitation success. Yet, there is still significant challenges that needs to be addressed before the BCI technology can be fully used effectively in a clinical setting as a neural prosthesis for motor impaired users. As it is still unknown whether the conventional BCI induction strategies that use different the types of stimuli and/or mental tasks induce cortical reorganization for disabled users. This paper presents a design and evaluation of a real-time Near-Infrared Spectroscopy (NIRS) based BCI protocol to control an external haptic device, and an interesting source of brain signals that may convey complementary information for inducing neuroplasticity. The protocol is based on the ideas derived from Mirror-based Therapy (MT) in which subjects not only perform literal motor imagery tasks but also combine their intents with visual action observation of a related motor imagery task. The NIRS-BCI system then commands a haptic device in real-time to move in opposing directions of leftward and rightward movement. We also compare the proposed protocol to the conventional limb motor imagery task and verify its efficacy with online decoding accuracies up to 94.99%. The initial validation of the experimental setup was done with seven healthy subjects. Nonetheless we contend that the design of the current NIRS-BCI method hold promise with patient populations for effective stroke rehabilitation therapy, because the beneficial effects of MT alone in post-stroke recovery has already been manifested in the literature.

KW - BCI for neural rehabilitation

KW - Brain-computer interface

KW - Channel localization

KW - Haptic device

KW - Mirror therapy

KW - Multiple support vector machines

KW - Near-infrared spectroscopy

KW - PCA

UR - http://www.scopus.com/inward/record.url?scp=85006356576&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85006356576&partnerID=8YFLogxK

U2 - 10.1016/j.measurement.2016.12.001

DO - 10.1016/j.measurement.2016.12.001

M3 - Article

AN - SCOPUS:85006356576

VL - 98

SP - 250

EP - 261

JO - Measurement

JF - Measurement

SN - 1536-6367

ER -