arrow
Return

Task-Specific Stimulation Duration for fNIRS Brain-Computer Interface

delete2020-01-01
delete23
delete
OA
AI
M
M. N. Afzal Khan
M
M. Raheel Bhutta
K
Keum‐Shik Hong *
DOI:10.1109/ACCESS.2020.2993620delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
In this paper, the most effective stimulation durations in the visual, somatosensory, and motor cortices are investigated. To evoke hemodynamic responses (HRs) for the purpose of brain-computer interface (BCI) with functional near-infrared spectroscopy (fNIRS), the best and the minimal durations for three tasks (visual, tapping, and poking) are presented. The examined tasks include the checkerboard, right-hand-index-finger poking, and the right-hand-index-finger tapping tasks in association with the visual, somatosensory, and motor cortices. Upon stimulations, the peak value, time to peak, and the full width at half maximum of the HRs are examined. Six different stimuli durations (i.e., 1, 3, 5, 7, 10 and 15 sec) were tested. Ten male subjects participated in the experiment. Three types of stimulations having the same duration were presented to the subjects randomly. The stimulation durations that showed the maximum peak values in the checkerboard, poking, and tapping tasks were 7, 5, and 10 sec, respectively. The peak value increased with the increase of stimulation duration. But beyond a certain period of time, the peak value did not increase anymore and sometimes it decreased when the stimulation period is too long. It is noted that 1-sec stimulation (for all three tasks) can generate a noticeable peak value. Instead, the initial dip upon poking occurred only with 1-sec poking (i.e., initial dip did not occur in all other poking periods). Conclusively, this work reveals the possibility of a BCI command generation within 1 sec.
Keywords:
Task analysis
Visualization
Brain-computer interfaces
Electroencephalography
Functional magnetic resonance imaging
Spatial resolution
Fingers
Brain-computer interface (BCI)
stimulation duration
functional near-infrared spectroscopy (fNIRS)
hemodynamic response
initial dip
poking
checkerboard
tapping
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

S
Sejong University
Scholars:
8.3K
Papers: 1.1W
Citations: 1.5W
P
pusan national university
Scholars:
2.1W
Papers: 1.9W
Citations: 20
Cited Papers

Cited Papers

errShare
errSave
Ultra-fast, highly efficient and green synthesis of bioactive forsterite nanopowder via microwave irradiation
err2018-11-01
err0
PREAI
errMehdi Kheradmandfard; Seyed Farshid Kashani-Bozorg; Amir Hosein Noori-Alfesharaki; Anoushe Zargar Kharazi; Mansooreh Kheradmandfard; Narges Abutalebi
errShare
errSave
Enhanced Drowsiness Detection Using Deep Learning: An fNIRS Study
err2019-01-01
err55
errOAAI
errTanveer, M. Asjid; Khan, M. Jawad; Qureshi, M. Jahangir; Naseer, Noman; Hong, Keum-Shik
errShare
errSave
A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network
err2019-01-01
err10
errOAAI
errLee, Hyunkeun; Choi, Jinyoung; Kim, Seunghun; Jun, Sung Chan; Lee, Byung-Geun
errShare
errSave
On the Secrecy Capacity of Block Fading Channels With a Hybrid Adversary
err2015-03-01
err0
errOAAI
errYuksel Ozan Basciftci; Onur Gungor; Can Emre Koksal; Fusun Ozguner
errShare
errSave
Localization of Hemodynamic Responses to Simple Visual Stimulation: An fNIRS Study
err2012-04-30
err34
errOAAI
errWijeakumar, Sobanawartiny; Shahani, Uma; Simpson, William A.; McCulloch, Daphne L.
errShare
errSave
researcher View more