Model-Based Analysis of Secure and Patient-Dependent Pacemaker Monitoring System

Leonidas Tsiopoulos, Alar Kuusik, Jüri Vain, Hayretdin Bahsi

Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

Pacemakers’ safety, security and reliability are of utmost importance for patient’s life quality in various daily situations. An integral characteristic of the pacemaker that depends on all of these attributes is its lifetime. In current medical practice the pacemaker’s expected lifetime is estimated relying on manufacturer’s data sheet and expert knowledge that may result in quite rough approximations if patient’s specifics are not taken into account. In this paper we perform a model-based quantitative analysis of pacemaker lifetime that takes into account patient specific factors, including general health condition, acting environment, remote reporting and others. We demonstrate that including these factors in analysis can provide drastically different results compared to that of average approximating estimates.
OriginalspråkEngelska
Titel på gästpublikationBody Area Networks
Undertitel på gästpublikationSmart IoT and Big Data for Intelligent Health
FörlagSpringer
Sidor77-91
ISBN (tryckt)978-3-030-64990-6
DOI
StatusPublicerad - 2020
MoE-publikationstypA4 Artikel i en konferenspublikation
Evenemang15th EAI International Conference, BODYNETS 2020 -
Varaktighet: 21 okt 2020 → …

Publikationsserier

NamnLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series

Konferens

Konferens15th EAI International Conference, BODYNETS 2020
Period21/10/20 → …

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