Exploring Epileptic Seizure Detection with Commercial Smartwatches

Theresa Tobollik; Sujay Shalawadi; Christopher Getschmann; Florian Echtler

doi:10.1109/percomworkshops51409.2021.9430866

Exploring Epileptic Seizure Detection with Commercial Smartwatches

Theresa Tobollik^*, Sujay Shalawadi, Christopher Getschmann, Florian Echtler

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

Abstract

Some forms of epilepsy can randomly trigger severe seizures that degrade patients' quality of life and may even lead to death. Specially trained dogs that go through a long learning process can sometimes help to warn patients of an imminent seizure, possibly due to an ability to sense subtle changes in the subject's blood oxygen level. In this paper, we present our exploratory study of using a commercial smartwatch with an oxygen sensor to continuously capture data and detect changes in blood oxygen saturation during or ahead of a seizure to warn the patient or emergency contacts. Our data shows a possible correlation between reported oxygen level and a seizure incident, but higher-frequency readings will be required in the future to determine whether accurate prediction with smartwatches is indeed possible.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE International Conference on Pervasive Computing and Communications - Workshops and other Affiliated Events
Number of pages	6
Publisher	IEEE
Publication date	22 Mar 2021
Pages	636-641
Article number	9430866
ISBN (Print)	978-1-6654-4724-9
ISBN (Electronic)	978-1-6654-0424-2
DOIs	https://doi.org/10.1109/percomworkshops51409.2021.9430866
Publication status	Published - 22 Mar 2021
Event	International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) - Duration: 22 Mar 2021 → 26 Mar 2021

Conference

Conference	International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Period	22/03/2021 → 26/03/2021

Keywords

blood oxygen
epilepsy
prevention
seizure
sensor
smartwatch

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10.1109/percomworkshops51409.2021.9430866

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Cite this

@inproceedings{efc2ffcc0b5143e0bfcae821655bde86,

title = "Exploring Epileptic Seizure Detection with Commercial Smartwatches",

abstract = "Some forms of epilepsy can randomly trigger severe seizures that degrade patients' quality of life and may even lead to death. Specially trained dogs that go through a long learning process can sometimes help to warn patients of an imminent seizure, possibly due to an ability to sense subtle changes in the subject's blood oxygen level. In this paper, we present our exploratory study of using a commercial smartwatch with an oxygen sensor to continuously capture data and detect changes in blood oxygen saturation during or ahead of a seizure to warn the patient or emergency contacts. Our data shows a possible correlation between reported oxygen level and a seizure incident, but higher-frequency readings will be required in the future to determine whether accurate prediction with smartwatches is indeed possible. ",

keywords = "blood oxygen, epilepsy, prevention, seizure, sensor, smartwatch",

author = "Theresa Tobollik and Sujay Shalawadi and Christopher Getschmann and Florian Echtler",

year = "2021",

month = mar,

day = "22",

doi = "10.1109/percomworkshops51409.2021.9430866",

language = "English",

isbn = "978-1-6654-4724-9",

pages = "636--641",

booktitle = "Proceedings of the 2021 IEEE International Conference on Pervasive Computing and Communications - Workshops and other Affiliated Events",

publisher = "IEEE",

address = "United States",

note = "International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) ; Conference date: 22-03-2021 Through 26-03-2021",

}

Tobollik, T, Shalawadi, S, Getschmann, C & Echtler, F 2021, Exploring Epileptic Seizure Detection with Commercial Smartwatches. in Proceedings of the 2021 IEEE International Conference on Pervasive Computing and Communications - Workshops and other Affiliated Events., 9430866, IEEE, pp. 636-641, International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 22/03/2021. https://doi.org/10.1109/percomworkshops51409.2021.9430866

Exploring Epileptic Seizure Detection with Commercial Smartwatches. / Tobollik, Theresa; Shalawadi, Sujay; Getschmann, Christopher et al.
Proceedings of the 2021 IEEE International Conference on Pervasive Computing and Communications - Workshops and other Affiliated Events. IEEE, 2021. p. 636-641 9430866.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Exploring Epileptic Seizure Detection with Commercial Smartwatches

AU - Tobollik, Theresa

AU - Shalawadi, Sujay

AU - Getschmann, Christopher

AU - Echtler, Florian

PY - 2021/3/22

Y1 - 2021/3/22

N2 - Some forms of epilepsy can randomly trigger severe seizures that degrade patients' quality of life and may even lead to death. Specially trained dogs that go through a long learning process can sometimes help to warn patients of an imminent seizure, possibly due to an ability to sense subtle changes in the subject's blood oxygen level. In this paper, we present our exploratory study of using a commercial smartwatch with an oxygen sensor to continuously capture data and detect changes in blood oxygen saturation during or ahead of a seizure to warn the patient or emergency contacts. Our data shows a possible correlation between reported oxygen level and a seizure incident, but higher-frequency readings will be required in the future to determine whether accurate prediction with smartwatches is indeed possible.

AB - Some forms of epilepsy can randomly trigger severe seizures that degrade patients' quality of life and may even lead to death. Specially trained dogs that go through a long learning process can sometimes help to warn patients of an imminent seizure, possibly due to an ability to sense subtle changes in the subject's blood oxygen level. In this paper, we present our exploratory study of using a commercial smartwatch with an oxygen sensor to continuously capture data and detect changes in blood oxygen saturation during or ahead of a seizure to warn the patient or emergency contacts. Our data shows a possible correlation between reported oxygen level and a seizure incident, but higher-frequency readings will be required in the future to determine whether accurate prediction with smartwatches is indeed possible.

KW - blood oxygen

KW - epilepsy

KW - prevention

KW - seizure

KW - sensor

KW - smartwatch

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U2 - 10.1109/percomworkshops51409.2021.9430866

DO - 10.1109/percomworkshops51409.2021.9430866

M3 - Article in proceeding

SN - 978-1-6654-4724-9

SP - 636

EP - 641

BT - Proceedings of the 2021 IEEE International Conference on Pervasive Computing and Communications - Workshops and other Affiliated Events

PB - IEEE

T2 - International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

Y2 - 22 March 2021 through 26 March 2021

ER -

Exploring Epileptic Seizure Detection with Commercial Smartwatches

Abstract

Conference

Keywords

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DeUCoE: Decentralized Ubiquitous Computing in Everyday Environments

Cite this

Exploring Epileptic Seizure Detection with Commercial Smartwatches

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

DeUCoE: Decentralized Ubiquitous Computing in Everyday Environments

Cite this