PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy

Frontiers in Physiology

Physiology

Francisca Sá¹  Mariana Abreu²  Ana Sofia Carmo²  Ana Luísa Fred²  Hugo Plácido da Silva³  Ana Rita Peralta⁴  Carla Bentes⁴ 

[1] Departamento Neurologia, Centro Hospitalar Lisboa Ocidental, Hospital Egas Moniz, Lisboa, Portugal;Instituto de Telecomunicações, Lisboa, Portugal;Departamento de Bioengenharia, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal;Instituto de Telecomunicações, Lisboa, Portugal;Departamento de Bioengenharia, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal;Lisbon Unit for Learning and Intelligent Systems (LUMLIS), A Unit of the European Laboratory for Learning and Intelligent Systems (ELLIS), Lisboa, Portugal;Lab EEG-Sono, Centro Hospitalar Universitário Lisboa Norte, Hospital de Santa Maria, Lisboa, Portugal;

关键词: wearable devices;    physiological signals;    protocol design;    epilepsy dataset;    epilepsy monitoring;    cardiorespiratory function;    physiological data acquisition;   

DOI  :  10.3389/fphys.2023.1248899

 received in 2023-06-27, accepted in 2023-09-04,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Abreu, Carmo, Peralta, Sá, Plácido da Silva, Bentes and Fred.