Signal processing of brain activity with ant colony optimization and wavelet analysis using near infrared spectroscopy

Xu HUANG, Raul Fernandez Rojas, Keng-Liang Ou

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

1 Citation (Scopus)

Abstract

Signal processing of brain activity poses challenges to various researchers from different areas, including medical, biomedical, and engineering researchers. Taking the benefits from rapidly developing higher technologies, the outcomes of the research into brain activity have made great progresses. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet with 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 our research are the following five items: (1) optical flow is a proper technology for the investigation of brain activity based on NIRS; (2) the results of the temporal domain, spatial domain, and wavelet domain support each other through experimental results; (3) our wavelet analysis offers the most brain activity, defined as targeted image; (4) the details of the intensity distribution on the targeted image show the most significant brain activity via ACO; (5) 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 publication2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016
EditorsNguyen Xuan Quynh, Hoang Minh Son, Randy Giles, Yong Soo Cho
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages306-311
Number of pages6
Volume1
ISBN (Electronic)9781509019311
ISBN (Print)9781509018017
DOIs
Publication statusPublished - 7 Sep 2016
Event2016 IEEE Sixth International Conference on Communications and Electronics - Ha Long, Ha Long, Viet Nam
Duration: 27 Jul 201629 Jul 2016
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7560561

Publication series

Name2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016

Conference

Conference2016 IEEE Sixth International Conference on Communications and Electronics
Abbreviated titleICCE 2016
CountryViet Nam
CityHa Long
Period27/07/1629/07/16
OtherThe International Conference on Communications and Electronics (ICCE) has become a prestige bi-annual international conference series in the area of Electronics and Communications recently. This time, the sixth ICCE (IEEE ICCE 2016) will be organized as a celebration on the occasion of the 60th anniversary of the Hanoi University of Science and Technology. In addition, IEEE ICCE 2016 will also be an event to mark its 10th anniversary. Following the past successful IEEE ICCE 2014, which received 228 submissions from 30 countries with the acceptance rate of 42%, the sixth ICCE (IEEE ICCE 2016) looks for significant contribution to various topics in communications engineering, networking, microwave engineering, signal processing and electronic engineering. The conference will also include tutorials, workshops, and technology panels given by world-class speakers. Besides the scientific activities, as IEEE ICCE 2016 will be held in the spectacular World-Heritage Site – Halong Bay, here, your passion of nature discovery will be awakened
Internet address

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-L. (2016). Signal processing of brain activity with ant colony optimization and wavelet analysis using near infrared spectroscopy. In N. X. Quynh, H. M. Son, R. Giles, & Y. S. Cho (Eds.), 2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016 (Vol. 1, pp. 306-311). [7562654] (2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCE.2016.7562654
HUANG, Xu ; Fernandez Rojas, Raul ; Ou, Keng-Liang. / Signal processing of brain activity with ant colony optimization and wavelet analysis using near infrared spectroscopy. 2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016. editor / Nguyen Xuan Quynh ; Hoang Minh Son ; Randy Giles ; Yong Soo Cho. Vol. 1 USA : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 306-311 (2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016).
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abstract = "Signal processing of brain activity poses challenges to various researchers from different areas, including medical, biomedical, and engineering researchers. Taking the benefits from rapidly developing higher technologies, the outcomes of the research into brain activity have made great progresses. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet with 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 our research are the following five items: (1) optical flow is a proper technology for the investigation of brain activity based on NIRS; (2) the results of the temporal domain, spatial domain, and wavelet domain support each other through experimental results; (3) our wavelet analysis offers the most brain activity, defined as targeted image; (4) the details of the intensity distribution on the targeted image show the most significant brain activity via ACO; (5) 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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HUANG, X, Fernandez Rojas, R & Ou, K-L 2016, Signal processing of brain activity with ant colony optimization and wavelet analysis using near infrared spectroscopy. in NX Quynh, HM Son, R Giles & YS Cho (eds), 2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016. vol. 1, 7562654, 2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 306-311, 2016 IEEE Sixth International Conference on Communications and Electronics, Ha Long, Viet Nam, 27/07/16. https://doi.org/10.1109/CCE.2016.7562654

Signal processing of brain activity with ant colony optimization and wavelet analysis using near infrared spectroscopy. / HUANG, Xu; Fernandez Rojas, Raul; Ou, Keng-Liang.

2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016. ed. / Nguyen Xuan Quynh; Hoang Minh Son; Randy Giles; Yong Soo Cho. Vol. 1 USA : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 306-311 7562654 (2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016).

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

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AU - Fernandez Rojas, Raul

AU - Ou, Keng-Liang

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N2 - Signal processing of brain activity poses challenges to various researchers from different areas, including medical, biomedical, and engineering researchers. Taking the benefits from rapidly developing higher technologies, the outcomes of the research into brain activity have made great progresses. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet with 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 our research are the following five items: (1) optical flow is a proper technology for the investigation of brain activity based on NIRS; (2) the results of the temporal domain, spatial domain, and wavelet domain support each other through experimental results; (3) our wavelet analysis offers the most brain activity, defined as targeted image; (4) the details of the intensity distribution on the targeted image show the most significant brain activity via ACO; (5) 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 poses challenges to various researchers from different areas, including medical, biomedical, and engineering researchers. Taking the benefits from rapidly developing higher technologies, the outcomes of the research into brain activity have made great progresses. In this paper, investigations of brain activity are made from experimental works, with optical flow based on spatiotemporal analysis and wavelet with 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 our research are the following five items: (1) optical flow is a proper technology for the investigation of brain activity based on NIRS; (2) the results of the temporal domain, spatial domain, and wavelet domain support each other through experimental results; (3) our wavelet analysis offers the most brain activity, defined as targeted image; (4) the details of the intensity distribution on the targeted image show the most significant brain activity via ACO; (5) 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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SN - 9781509018017

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HUANG X, Fernandez Rojas R, Ou K-L. Signal processing of brain activity with ant colony optimization and wavelet analysis using near infrared spectroscopy. In Quynh NX, Son HM, Giles R, Cho YS, editors, 2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016. Vol. 1. USA: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 306-311. 7562654. (2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016). https://doi.org/10.1109/CCE.2016.7562654