Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm

Abbas Sohrabpour; Yunfeng Lu; Gregory Worrell; Bin He

doi:10.1109/EMBC.2016.7590652

Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm

Abbas Sohrabpour, Yunfeng Lu, Gregory Worrell, Bin He

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we have introduced a novel electromagnetic source imaging (ESI) technique and demonstrated its validity and excellent performance in imaging the location and extent of underlying epileptic sources in patients suffering from focal epilepsy. The proposed algorithm employs ideas from sparse signal processing literature and convex optimization theories to improve source imaging results obtained from scalp-recorded electroencephalogram (EEG). EEG source imaging results generally use subjective methods to determine the extent of the underlying brain activity. The proposed technique provides significant improvement in dealing with such shortcomings and eliminates the need for thresholding. The results of our computer simulations and clinical validation study demonstrate the excellent performance of the proposed algorithm and suggest it may become a useful tool for objectively determining the location and extent of focal epileptic activity in a noninvasive fashion.

Original language	English (US)
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	109-112
Number of pages	4
ISBN (Electronic)	9781457702204
DOIs	https://doi.org/10.1109/EMBC.2016.7590652
State	Published - Oct 13 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States Duration: Aug 16 2016 → Aug 20 2016

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2016-October
ISSN (Print)	1557-170X

Other

Other	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country	United States
City	Orlando
Period	8/16/16 → 8/20/16

Bibliographical note

Funding Information:
This work was supported in part by NIH EB006433 and NSF CBET-1450956 and CBET-1264782.

Access

10.1109/EMBC.2016.7590652

Fingerprint Dive into the research topics of 'Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm'. Together they form a unique fingerprint.

Cite this

Sohrabpour, A., Lu, Y., Worrell, G., & He, B. (2016). Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 109-112). [7590652] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7590652

Identifying epileptic source location and extent : An iterative sparse electromagnetic source imaging algorithm. / Sohrabpour, Abbas; Lu, Yunfeng; Worrell, Gregory; He, Bin.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 109-112 7590652 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sohrabpour, A, Lu, Y, Worrell, G & He, B 2016, Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016., 7590652, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2016-October, Institute of Electrical and Electronics Engineers Inc., pp. 109-112, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 8/16/16. https://doi.org/10.1109/EMBC.2016.7590652

Sohrabpour A, Lu Y, Worrell G, He B. Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 109-112. 7590652. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2016.7590652

Sohrabpour, Abbas ; Lu, Yunfeng ; Worrell, Gregory ; He, Bin. / Identifying epileptic source location and extent : An iterative sparse electromagnetic source imaging algorithm. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 109-112 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{9ea7738e566b424da816366159fc205a,

title = "Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm",

abstract = "In this paper we have introduced a novel electromagnetic source imaging (ESI) technique and demonstrated its validity and excellent performance in imaging the location and extent of underlying epileptic sources in patients suffering from focal epilepsy. The proposed algorithm employs ideas from sparse signal processing literature and convex optimization theories to improve source imaging results obtained from scalp-recorded electroencephalogram (EEG). EEG source imaging results generally use subjective methods to determine the extent of the underlying brain activity. The proposed technique provides significant improvement in dealing with such shortcomings and eliminates the need for thresholding. The results of our computer simulations and clinical validation study demonstrate the excellent performance of the proposed algorithm and suggest it may become a useful tool for objectively determining the location and extent of focal epileptic activity in a noninvasive fashion.",

author = "Abbas Sohrabpour and Yunfeng Lu and Gregory Worrell and Bin He",

note = "Funding Information: This work was supported in part by NIH EB006433 and NSF CBET-1450956 and CBET-1264782.; 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

year = "2016",

month = oct,

day = "13",

doi = "10.1109/EMBC.2016.7590652",

language = "English (US)",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "109--112",

booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",

}

TY - GEN

T1 - Identifying epileptic source location and extent

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

AU - Sohrabpour, Abbas

AU - Lu, Yunfeng

AU - Worrell, Gregory

AU - He, Bin

N1 - Funding Information: This work was supported in part by NIH EB006433 and NSF CBET-1450956 and CBET-1264782.

PY - 2016/10/13

Y1 - 2016/10/13

N2 - In this paper we have introduced a novel electromagnetic source imaging (ESI) technique and demonstrated its validity and excellent performance in imaging the location and extent of underlying epileptic sources in patients suffering from focal epilepsy. The proposed algorithm employs ideas from sparse signal processing literature and convex optimization theories to improve source imaging results obtained from scalp-recorded electroencephalogram (EEG). EEG source imaging results generally use subjective methods to determine the extent of the underlying brain activity. The proposed technique provides significant improvement in dealing with such shortcomings and eliminates the need for thresholding. The results of our computer simulations and clinical validation study demonstrate the excellent performance of the proposed algorithm and suggest it may become a useful tool for objectively determining the location and extent of focal epileptic activity in a noninvasive fashion.

AB - In this paper we have introduced a novel electromagnetic source imaging (ESI) technique and demonstrated its validity and excellent performance in imaging the location and extent of underlying epileptic sources in patients suffering from focal epilepsy. The proposed algorithm employs ideas from sparse signal processing literature and convex optimization theories to improve source imaging results obtained from scalp-recorded electroencephalogram (EEG). EEG source imaging results generally use subjective methods to determine the extent of the underlying brain activity. The proposed technique provides significant improvement in dealing with such shortcomings and eliminates the need for thresholding. The results of our computer simulations and clinical validation study demonstrate the excellent performance of the proposed algorithm and suggest it may become a useful tool for objectively determining the location and extent of focal epileptic activity in a noninvasive fashion.

UR - http://www.scopus.com/inward/record.url?scp=85009090160&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009090160&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2016.7590652

DO - 10.1109/EMBC.2016.7590652

M3 - Conference contribution

C2 - 28268292

AN - SCOPUS:85009090160

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 109

EP - 112

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 August 2016 through 20 August 2016

ER -

Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm

Abstract

Publication series

Other

Bibliographical note

Access

Other files and links

Cite this