LETHE: A Digital Intervention for Cognitive Decline

Vasileios S. Loukas*, Thomas Kassiotis, Ignacio Lamata Martinez, Lefteris Koumakis, Jeroen Bruinsma, Roberto Pasciuti, Monica Balatresi, Ville Tenhunen, Adam Fiakkas, Lelia Ataliani, Georgia S. Karanasiou, Manolis Tsiknakis, Hannes Hilberger, Markus Bodenler, Bianca Schnalzer, Simone Huber, Mattia Pirani, Matteo Colombo, Sten Hanke, Dimitrios I. Fotiadis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

Dementia is the main cause of disability in elderly populations. It has been shown that the risk factors of dementia are a mixture of pathological, lifestyle and heritable factors, with some of those being provably modifiable. Early diagnosis of dementia and approaches to slow down its evolution are currently the most prominent management methodologies due to lack of a cure. For that reason, a plethora of home-based assistive technologies for dementia management do exist, with most of them focusing on the improvement of memory and thinking. The main objective of LETHE is prevention in the whole spectrum of cognitive decline in the elderly population at risk reaching from asymptomatic to subjective or mild cognitive impairment to prodromal Dementia. LETHE will provide a Big Data collection platform and analysis system, that will allow prevention, personalized risk detection and intervention on cognitive decline. Through the subsequent 2-year clinical trial, the LETHE system, as well as the respective knowledge gained will be evaluated and validated. The scope of the current paper is to introduce the LETHE study and its respective novel platform as a holistic approach to multidomain lifestyle intervention trial studies. The present work depicts the architectural perspective and extends beyond state-of-the-art guidelines and approaches to health management systems and cloud platform development.Clinical Relevance-Patient Management Systems as well as lifestyle management platforms have significant clinical relevance as they allow for remote and continuous monitoring of patients' health status. LETHE aims to improve patient outcomes by providing predictive models for cognitive decline and patient adherence to the multimodal lifestyle intervention, enabling prompt and appropriate medical decisions.
Original languageEnglish
Title of host publication2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings
Place of PublicationSydney
PublisherIEEE
Number of pages4
ISBN (Electronic)9798350324471
DOIs
Publication statusPublished - 1 Jan 2023
Event45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference - Sydney, Australia
Duration: 24 Jul 202327 Jul 2023
https://embc.embs.org/2023/

Publication series

SeriesProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN1557-170X

Conference

Conference45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference
Abbreviated titleIEEE EMBC 2023
Country/TerritoryAustralia
CitySydney
Period24/07/2327/07/23
Internet address

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