Multimodal minimally invasive wearable technology for epilepsy monitoring: a feasibility study of the periauricular area
Fecha
2023Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
Impacto
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10.1109/JSEN.2023.3314190
Resumen
Ambulatory monitoring is of great interest in both clinical and domestic environments. Despite the technological advances, few monitoring solutions are suitable for medical application and diagnosis. Here, we investigate the feasibility of targeting the periauricular area (ear pavilion, ear canal, and the surrounding skin areas) to implement a multimodal system that fulfills the requirements of e ...
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Ambulatory monitoring is of great interest in both clinical and domestic environments. Despite the technological advances, few monitoring solutions are suitable for medical application and diagnosis. Here, we investigate the feasibility of targeting the periauricular area (ear pavilion, ear canal, and the surrounding skin areas) to implement a multimodal system that fulfills the requirements of ergonomics and minimal obstructiveness in the context of epilepsy monitoring. Six physiological signals are selected and explored for their integration in the area of interest and a ¿proof-of-concept¿ prototype integrating the components in a single portable device targeting the selected location is implemented. Results show mixed results where some parameters are highly reliable, and others are impractical or require customized technology to provide clinically relevant information. To enable data acquisition, storage, and processing within the Internet of Medical Things paradigms, wireless body area transceiver integration is also analyzed in terms of coverage/capacity relations, showing feasibility for such device configuration. [--]
Materias
Ambulatory monitoring,
Epilepsy,
Multimodal wearable,
Periauricular area
Editor
IEEE
Publicado en
IEEE Sensors Journal 23(21), 26620-26635
Departamento
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
This work was supported in part by
the Department of Economic Development of the Government of
Navarra under Grant GN 2019 PC078-079; in part by the Carlos
III Health Institute through the project under Grant DTS19/00130
(co-financed by the European Regional Development Fund; “A way
to make Europe”); and in part by the Agencia Estatal de Investigación, Fondo Europeo de Desarrollo Regional -FEDER-, European
Union under Grant PID2021-127409OB-C31 CONDOR.