Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy

Xu Huang, Raul Fernandez-Rojas, Keng-Liang Ou, Allan C. Madoc

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Signal processing of brain activity is becoming challenging to various researchers from different areas, including medical, biomedical, and engineering researchers. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet over the equipment of Near Infrared Spectroscopy (NIRS). Ant Colony Optimization (ACO) algorithm is employed for obtaining the distributions of the intensity of the targeted image. The major outcomes of this paper from our research are the following items: (a) optical flow can be a proper technology for the investigation of brain activity based on NIRS; (b) the analyses of the temporal domain, the spatial domain, and the wavelet domain underpinned coherently to our experimental results; (c) our wavelet analysis can define the most brain activity image, denoted as targeted image; (d) the details of the intensity distributions on the targeted image show the most significant brain activity via ACO algorithm; (e) we can clearly observe, via our algorithm technology, the existence of the so-called Dominant Channel (DC) based on spatiotemporal analysis and it plays a critical role in brain activity. The spatial distribution of the origin of cortical activity can be described by hemodynamic response in the cerebral cortex after evoked stimulation using near infrared spectroscopy. Further application of this research is expected in the next step research outcomes.
Original languageEnglish
Title of host publicationProceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-85
Number of pages5
ISBN (Electronic)9781509017805
DOIs
Publication statusPublished - Oct 7 2016
Event8th IEEE International Conference on Communication Software and Networks, ICCSN 2016 - Beijing, China
Duration: Jun 4 2016Jun 6 2016

Conference

Conference8th IEEE International Conference on Communication Software and Networks, ICCSN 2016
CountryChina
CityBeijing
Period6/4/166/6/16

Fingerprint

Near infrared spectroscopy
Ant colony optimization
Wavelet analysis
Brain
Signal processing
Optical flows
Hemodynamics
Spatial distribution

Keywords

  • brain activity
  • hemodynamic reaction
  • near infrared spectroscopy
  • optical flow
  • wavelet, ACO

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Software

Cite this

Huang, X., Fernandez-Rojas, R., Ou, K-L., & Madoc, A. C. (2016). Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy. In Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016 (pp. 81-85). [7586623] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSN.2016.7586623

Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy. / Huang, Xu; Fernandez-Rojas, Raul; Ou, Keng-Liang; Madoc, Allan C.

Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 81-85 7586623.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, X, Fernandez-Rojas, R, Ou, K-L & Madoc, AC 2016, Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy. in Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016., 7586623, Institute of Electrical and Electronics Engineers Inc., pp. 81-85, 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016, Beijing, China, 6/4/16. https://doi.org/10.1109/ICCSN.2016.7586623
Huang X, Fernandez-Rojas R, Ou K-L, Madoc AC. Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy. In Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 81-85. 7586623 https://doi.org/10.1109/ICCSN.2016.7586623
Huang, Xu ; Fernandez-Rojas, Raul ; Ou, Keng-Liang ; Madoc, Allan C. / Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy. Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 81-85
@inproceedings{dca3981a8b2443039544be2b666117d1,
title = "Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy",
abstract = "Signal processing of brain activity is becoming challenging to various researchers from different areas, including medical, biomedical, and engineering researchers. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet over the equipment of Near Infrared Spectroscopy (NIRS). Ant Colony Optimization (ACO) algorithm is employed for obtaining the distributions of the intensity of the targeted image. The major outcomes of this paper from our research are the following items: (a) optical flow can be a proper technology for the investigation of brain activity based on NIRS; (b) the analyses of the temporal domain, the spatial domain, and the wavelet domain underpinned coherently to our experimental results; (c) our wavelet analysis can define the most brain activity image, denoted as targeted image; (d) the details of the intensity distributions on the targeted image show the most significant brain activity via ACO algorithm; (e) we can clearly observe, via our algorithm technology, the existence of the so-called Dominant Channel (DC) based on spatiotemporal analysis and it plays a critical role in brain activity. The spatial distribution of the origin of cortical activity can be described by hemodynamic response in the cerebral cortex after evoked stimulation using near infrared spectroscopy. Further application of this research is expected in the next step research outcomes.",
keywords = "brain activity, hemodynamic reaction, near infrared spectroscopy, optical flow, wavelet, ACO",
author = "Xu Huang and Raul Fernandez-Rojas and Keng-Liang Ou and Madoc, {Allan C.}",
year = "2016",
month = "10",
day = "7",
doi = "10.1109/ICCSN.2016.7586623",
language = "English",
pages = "81--85",
booktitle = "Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - Novel signal processing of brain activity based on Ant Colony Optimization and wavelet analysis with near infrared spectroscopy

AU - Huang, Xu

AU - Fernandez-Rojas, Raul

AU - Ou, Keng-Liang

AU - Madoc, Allan C.

PY - 2016/10/7

Y1 - 2016/10/7

N2 - Signal processing of brain activity is becoming challenging to various researchers from different areas, including medical, biomedical, and engineering researchers. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet over the equipment of Near Infrared Spectroscopy (NIRS). Ant Colony Optimization (ACO) algorithm is employed for obtaining the distributions of the intensity of the targeted image. The major outcomes of this paper from our research are the following items: (a) optical flow can be a proper technology for the investigation of brain activity based on NIRS; (b) the analyses of the temporal domain, the spatial domain, and the wavelet domain underpinned coherently to our experimental results; (c) our wavelet analysis can define the most brain activity image, denoted as targeted image; (d) the details of the intensity distributions on the targeted image show the most significant brain activity via ACO algorithm; (e) we can clearly observe, via our algorithm technology, the existence of the so-called Dominant Channel (DC) based on spatiotemporal analysis and it plays a critical role in brain activity. The spatial distribution of the origin of cortical activity can be described by hemodynamic response in the cerebral cortex after evoked stimulation using near infrared spectroscopy. Further application of this research is expected in the next step research outcomes.

AB - Signal processing of brain activity is becoming challenging to various researchers from different areas, including medical, biomedical, and engineering researchers. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet over the equipment of Near Infrared Spectroscopy (NIRS). Ant Colony Optimization (ACO) algorithm is employed for obtaining the distributions of the intensity of the targeted image. The major outcomes of this paper from our research are the following items: (a) optical flow can be a proper technology for the investigation of brain activity based on NIRS; (b) the analyses of the temporal domain, the spatial domain, and the wavelet domain underpinned coherently to our experimental results; (c) our wavelet analysis can define the most brain activity image, denoted as targeted image; (d) the details of the intensity distributions on the targeted image show the most significant brain activity via ACO algorithm; (e) we can clearly observe, via our algorithm technology, the existence of the so-called Dominant Channel (DC) based on spatiotemporal analysis and it plays a critical role in brain activity. The spatial distribution of the origin of cortical activity can be described by hemodynamic response in the cerebral cortex after evoked stimulation using near infrared spectroscopy. Further application of this research is expected in the next step research outcomes.

KW - brain activity

KW - hemodynamic reaction

KW - near infrared spectroscopy

KW - optical flow

KW - wavelet, ACO

UR - http://www.scopus.com/inward/record.url?scp=84994508043&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84994508043&partnerID=8YFLogxK

U2 - 10.1109/ICCSN.2016.7586623

DO - 10.1109/ICCSN.2016.7586623

M3 - Conference contribution

AN - SCOPUS:84994508043

SP - 81

EP - 85

BT - Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -