PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy
The PreEpiSeizures project was created to better understand epilepsy and seizures through wearable technologies. The motivation was to capture physiological information related to epileptic seizures, besides Electroencephalography (EEG) during video-EEG monitorings. If other physiological signals ha...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1248899/full |
| _version_ | 1797662939635777536 |
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| author | Mariana Abreu Mariana Abreu Ana Sofia Carmo Ana Sofia Carmo Ana Rita Peralta Francisca Sá Hugo Plácido da Silva Hugo Plácido da Silva Hugo Plácido da Silva Carla Bentes Ana Luísa Fred Ana Luísa Fred |
| author_facet | Mariana Abreu Mariana Abreu Ana Sofia Carmo Ana Sofia Carmo Ana Rita Peralta Francisca Sá Hugo Plácido da Silva Hugo Plácido da Silva Hugo Plácido da Silva Carla Bentes Ana Luísa Fred Ana Luísa Fred |
| author_sort | Mariana Abreu |
| collection | DOAJ |
| description | The PreEpiSeizures project was created to better understand epilepsy and seizures through wearable technologies. The motivation was to capture physiological information related to epileptic seizures, besides Electroencephalography (EEG) during video-EEG monitorings. If other physiological signals have reliable information of epileptic seizures, unobtrusive wearable technology could be used to monitor epilepsy in daily life. The development of wearable solutions for epilepsy is limited by the nonexistence of datasets which could validate these solutions. Three different form factors were developed and deployed, and the signal quality was assessed for all acquired biosignals. The wearable data acquisition was performed during the video-EEG of patients with epilepsy. The results achieved so far include 59 patients from 2 hospitals totaling 2,721 h of wearable data and 348 seizures. Besides the wearable data, the Electrocardiogram of the hospital is also useable, totalling 5,838 h of hospital data. The quality ECG signals collected with the proposed wearable is equated with the hospital system, and all other biosignals also achieved state-of-the-art quality. During the data acquisition, 18 challenges were identified, and are presented alongside their possible solutions. Though this is an ongoing work, there were many lessons learned which could help to predict possible problems in wearable data collections and also contribute to the epilepsy community with new physiological information. This work contributes with original wearable data and results relevant to epilepsy research, and discusses relevant challenges that impact wearable health monitoring. |
| first_indexed | 2024-03-11T19:06:25Z |
| format | Article |
| id | doaj.art-8d7e0fd3aebd4983a74ee7919c8f5b54 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-03-11T19:06:25Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-8d7e0fd3aebd4983a74ee7919c8f5b542023-10-10T07:14:08ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2023-10-011410.3389/fphys.2023.12488991248899PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsyMariana Abreu0Mariana Abreu1Ana Sofia Carmo2Ana Sofia Carmo3Ana Rita Peralta4Francisca Sá5Hugo Plácido da Silva6Hugo Plácido da Silva7Hugo Plácido da Silva8Carla Bentes9Ana Luísa Fred10Ana Luísa Fred11Instituto de Telecomunicações, Lisboa, PortugalDepartamento de Bioengenharia, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, PortugalInstituto de Telecomunicações, Lisboa, PortugalDepartamento de Bioengenharia, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, PortugalLab EEG-Sono, Centro Hospitalar Universitário Lisboa Norte, Hospital de Santa Maria, Lisboa, PortugalDepartamento Neurologia, Centro Hospitalar Lisboa Ocidental, Hospital Egas Moniz, Lisboa, PortugalInstituto de Telecomunicações, Lisboa, PortugalDepartamento de Bioengenharia, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, PortugalLisbon Unit for Learning and Intelligent Systems (LUMLIS), A Unit of the European Laboratory for Learning and Intelligent Systems (ELLIS), Lisboa, PortugalLab EEG-Sono, Centro Hospitalar Universitário Lisboa Norte, Hospital de Santa Maria, Lisboa, PortugalInstituto de Telecomunicações, Lisboa, PortugalDepartamento de Bioengenharia, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, PortugalThe PreEpiSeizures project was created to better understand epilepsy and seizures through wearable technologies. The motivation was to capture physiological information related to epileptic seizures, besides Electroencephalography (EEG) during video-EEG monitorings. If other physiological signals have reliable information of epileptic seizures, unobtrusive wearable technology could be used to monitor epilepsy in daily life. The development of wearable solutions for epilepsy is limited by the nonexistence of datasets which could validate these solutions. Three different form factors were developed and deployed, and the signal quality was assessed for all acquired biosignals. The wearable data acquisition was performed during the video-EEG of patients with epilepsy. The results achieved so far include 59 patients from 2 hospitals totaling 2,721 h of wearable data and 348 seizures. Besides the wearable data, the Electrocardiogram of the hospital is also useable, totalling 5,838 h of hospital data. The quality ECG signals collected with the proposed wearable is equated with the hospital system, and all other biosignals also achieved state-of-the-art quality. During the data acquisition, 18 challenges were identified, and are presented alongside their possible solutions. Though this is an ongoing work, there were many lessons learned which could help to predict possible problems in wearable data collections and also contribute to the epilepsy community with new physiological information. This work contributes with original wearable data and results relevant to epilepsy research, and discusses relevant challenges that impact wearable health monitoring.https://www.frontiersin.org/articles/10.3389/fphys.2023.1248899/fullwearable devicesphysiological signalsprotocol designepilepsy datasetepilepsy monitoringcardiorespiratory function |
| spellingShingle | Mariana Abreu Mariana Abreu Ana Sofia Carmo Ana Sofia Carmo Ana Rita Peralta Francisca Sá Hugo Plácido da Silva Hugo Plácido da Silva Hugo Plácido da Silva Carla Bentes Ana Luísa Fred Ana Luísa Fred PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy Frontiers in Physiology wearable devices physiological signals protocol design epilepsy dataset epilepsy monitoring cardiorespiratory function |
| title | PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy |
| title_full | PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy |
| title_fullStr | PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy |
| title_full_unstemmed | PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy |
| title_short | PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy |
| title_sort | preepiseizures description and outcomes of physiological data acquisition using wearable devices during video eeg monitoring in people with epilepsy |
| topic | wearable devices physiological signals protocol design epilepsy dataset epilepsy monitoring cardiorespiratory function |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2023.1248899/full |
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