Novel signal processing of brain activity based on ant colony optimization and wavelet analysis with near infrared spectroscopy

Xu HUANG, Raul FERNANDEZ ROJAS, Kengliang Ou, Allan Madoc

Research output: A Conference proceeding or a Chapter in BookConference 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
EditorsYang Xiao
Place of PublicationBeijing China
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages81-85
Number of pages5
Volume1
ISBN (Electronic)9781509017812
ISBN (Print)97815090117805
DOIs
Publication statusPublished - 4 Jun 2016
Event2016 8th IEEE International Conference on Communication Software and Networks - Beijing, Beijing, China
Duration: 4 Jun 2016 → …

Publication series

NameProceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016

Conference

Conference2016 8th IEEE International Conference on Communication Software and Networks
CountryChina
CityBeijing
Period4/06/16 → …

Fingerprint

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

Cite this

HUANG, X., FERNANDEZ ROJAS, R., Ou, K., & Madoc, A. (2016). Novel signal processing of brain activity based on ant colony optimization and wavelet analysis with near infrared spectroscopy. In Y. Xiao (Ed.), Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016 (Vol. 1, pp. 81-85). [7586623] (Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016). Beijing China: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCSN.2016.7586623
HUANG, Xu ; FERNANDEZ ROJAS, Raul ; Ou, Kengliang ; Madoc, Allan. / 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. editor / Yang Xiao. Vol. 1 Beijing China : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 81-85 (Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016).
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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",
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author = "Xu HUANG and {FERNANDEZ ROJAS}, Raul and Kengliang Ou and Allan Madoc",
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HUANG, X, FERNANDEZ ROJAS, R, Ou, K & Madoc, A 2016, Novel signal processing of brain activity based on ant colony optimization and wavelet analysis with near infrared spectroscopy. in Y Xiao (ed.), Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016. vol. 1, 7586623, Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016, IEEE, Institute of Electrical and Electronics Engineers, Beijing China, pp. 81-85, 2016 8th IEEE International Conference on Communication Software and Networks, Beijing, China, 4/06/16. 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, Kengliang; Madoc, Allan.

Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016. ed. / Yang Xiao. Vol. 1 Beijing China : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 81-85 7586623 (Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016).

Research output: A Conference proceeding or a Chapter in BookConference contribution

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, Kengliang

AU - Madoc, Allan

PY - 2016/6/4

Y1 - 2016/6/4

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

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U2 - 10.1109/ICCSN.2016.7586623

DO - 10.1109/ICCSN.2016.7586623

M3 - Conference contribution

SN - 97815090117805

VL - 1

T3 - Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016

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

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PB - IEEE, Institute of Electrical and Electronics Engineers

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HUANG X, FERNANDEZ ROJAS R, Ou K, Madoc A. Novel signal processing of brain activity based on ant colony optimization and wavelet analysis with near infrared spectroscopy. In Xiao Y, editor, Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016. Vol. 1. Beijing China: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 81-85. 7586623. (Proceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016). https://doi.org/10.1109/ICCSN.2016.7586623