Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals

Shitanshu Kusmakar; Jayavardhana Gubbi; Aravinda S. Rao; Bernard Yan; Terence J. O'Brien; Marimuthu Palaniswami

doi:10.1109/EMBC.2015.7318430

Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals

Shitanshu Kusmakar, Jayavardhana Gubbi, Aravinda S. Rao, Bernard Yan, Terence J. O'Brien, Marimuthu Palaniswami

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

A seizure is caused due to sudden surge of electrical activity within the brain. There is another class of seizures called psychogenic non-epileptic seizure (PNES) that mimics epilepsy, but is caused due to underlying psychology. The diagnosis of PNES is done using video-electroencephalography monitoring (VEM), which is a resource intensive process. Recently, accelerometers have been shown to be effective in classification of epileptic and non-epileptic seizures. In this work, we propose a novel feature called histogram of oriented motion (HOOM) extracted from accelerometer signals for classification of convulsive PNES. An automated algorithm based on HOOM is proposed. The algorithm showed a high sensitivity of (93.33%) and an overall accuracy of (80%) in classifying convulsive PNES.

Original language	English
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)
Editors	Jim Patton
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	586-589
Number of pages	4
ISBN (Electronic)	9781424492718
ISBN (Print)	9781424492695
DOIs	https://doi.org/10.1109/EMBC.2015.7318430
Publication status	Published - 4 Nov 2015
Externally published	Yes
Event	International Conference of the IEEE Engineering in Medicine and Biology Society 2015 - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37th https://embc.embs.org/2015/ https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding (Proceedings)

Conference

Conference	International Conference of the IEEE Engineering in Medicine and Biology Society 2015
Abbreviated title	EMBC 2015
Country/Territory	Italy
City	Milan
Period	25/08/15 → 29/08/15
Other	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). Our Annual Conference (known as EMBC) is a premier international conference in biomedical engineering, and has been strategically held in different locations around the world, including Chicago, Osaka, San Diego, Boston, Buenos Aires, Minneapolis, Vancouver, Lyon, New York, and Shanghai over the last 10 years.
Internet address	https://embc.embs.org/2015/ https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding (Proceedings)

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10.1109/EMBC.2015.7318430

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Kusmakar, S., Gubbi, J., Rao, A. S., Yan, B., O'Brien, T. J., & Palaniswami, M. (2015). Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals. In J. Patton (Ed.), 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015) (pp. 586-589). [7318430] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2015.7318430

Kusmakar, Shitanshu ; Gubbi, Jayavardhana ; Rao, Aravinda S. ; Yan, Bernard ; O'Brien, Terence J. ; Palaniswami, Marimuthu. / Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). editor / Jim Patton. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 586-589

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title = "Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals",

abstract = "A seizure is caused due to sudden surge of electrical activity within the brain. There is another class of seizures called psychogenic non-epileptic seizure (PNES) that mimics epilepsy, but is caused due to underlying psychology. The diagnosis of PNES is done using video-electroencephalography monitoring (VEM), which is a resource intensive process. Recently, accelerometers have been shown to be effective in classification of epileptic and non-epileptic seizures. In this work, we propose a novel feature called histogram of oriented motion (HOOM) extracted from accelerometer signals for classification of convulsive PNES. An automated algorithm based on HOOM is proposed. The algorithm showed a high sensitivity of (93.33%) and an overall accuracy of (80%) in classifying convulsive PNES.",

author = "Shitanshu Kusmakar and Jayavardhana Gubbi and Rao, {Aravinda S.} and Bernard Yan and O'Brien, {Terence J.} and Marimuthu Palaniswami",

year = "2015",

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doi = "10.1109/EMBC.2015.7318430",

language = "English",

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editor = "Patton, {Jim }",

booktitle = "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Conference of the IEEE Engineering in Medicine and Biology Society 2015, EMBC 2015 ; Conference date: 25-08-2015 Through 29-08-2015",

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Kusmakar, S, Gubbi, J, Rao, AS, Yan, B, O'Brien, TJ & Palaniswami, M 2015, Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals. in J Patton (ed.), 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)., 7318430, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 586-589, International Conference of the IEEE Engineering in Medicine and Biology Society 2015, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7318430

Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals. / Kusmakar, Shitanshu; Gubbi, Jayavardhana; Rao, Aravinda S.; Yan, Bernard; O'Brien, Terence J.; Palaniswami, Marimuthu.

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). ed. / Jim Patton. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 586-589 7318430.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Kusmakar, Shitanshu

AU - Gubbi, Jayavardhana

AU - Rao, Aravinda S.

AU - Yan, Bernard

AU - O'Brien, Terence J.

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N2 - A seizure is caused due to sudden surge of electrical activity within the brain. There is another class of seizures called psychogenic non-epileptic seizure (PNES) that mimics epilepsy, but is caused due to underlying psychology. The diagnosis of PNES is done using video-electroencephalography monitoring (VEM), which is a resource intensive process. Recently, accelerometers have been shown to be effective in classification of epileptic and non-epileptic seizures. In this work, we propose a novel feature called histogram of oriented motion (HOOM) extracted from accelerometer signals for classification of convulsive PNES. An automated algorithm based on HOOM is proposed. The algorithm showed a high sensitivity of (93.33%) and an overall accuracy of (80%) in classifying convulsive PNES.

AB - A seizure is caused due to sudden surge of electrical activity within the brain. There is another class of seizures called psychogenic non-epileptic seizure (PNES) that mimics epilepsy, but is caused due to underlying psychology. The diagnosis of PNES is done using video-electroencephalography monitoring (VEM), which is a resource intensive process. Recently, accelerometers have been shown to be effective in classification of epileptic and non-epileptic seizures. In this work, we propose a novel feature called histogram of oriented motion (HOOM) extracted from accelerometer signals for classification of convulsive PNES. An automated algorithm based on HOOM is proposed. The algorithm showed a high sensitivity of (93.33%) and an overall accuracy of (80%) in classifying convulsive PNES.

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Kusmakar S, Gubbi J, Rao AS, Yan B, O'Brien TJ, Palaniswami M. Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals. In Patton J, editor, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 586-589. 7318430 https://doi.org/10.1109/EMBC.2015.7318430

Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals

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