An fNIRS-Based Motor Imagery BCI for ALS: A Subject-Specific Data-Driven Approach.

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
S M HosniY Shahriari

Abstract

Functional near-infrared spectroscopy (fNIRS) has recently gained momentum in research on motor-imagery (MI)-based brain-computer interfaces (BCIs). However, strikingly, most of the research effort is primarily devoted to enhancing fNIRS-based BCIs for healthy individuals. The ability of patients with amyotrophic lateral sclerosis (ALS), among the main BCI end-users to utilize fNIRS-based hemodynamic responses to efficiently control an MI-based BCI, has not yet been explored. This study aims to quantify subject-specific spatio-temporal characteristics of ALS patients' hemodynamic responses to MI tasks, and to investigate the feasibility of using these responses as a means of communication to control a binary BCI. Hemodynamic responses were recorded using fNIRS from eight patients with ALS while performing MI-Rest tasks. The generalized linear model (GLM) analysis was conducted to statistically estimate and evaluate individualized spatial activation. Selected channel sets were statistically optimized for classification. Subject-specific discriminative features, including a proposed data-driven estimated coefficient obtained from GLM, and optimized classification parameters were identified and used to further evaluate the perform...Continue Reading

Citations

Oct 1, 2021·International Journal of Neural Systems·Ujwal ChaudharyNiels Birbaumer

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Software Mentioned

BCI2000
MI
fNIRS
NIRScout

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Amyloid Lateral Sclerosis

Amyotrophic Lateral Sclerosis (ALS) is a progressive nervous system disease associated with the death of neurons that control voluntary muscles. Discover the latest research on ALS here.

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