University of Oulu

Vuorinen, T., Noponen, K., Jeyhani, V., Aslam, M.A., Junttila, M.J., Tulppo, M.P., Kaikkonen, K.S., Huikuri, H.V., Seppänen, T., Mäntysalo, M. and Vehkaoja, A. (2021), Unobtrusive, Low‐Cost Out‐of‐Hospital, and In‐Hospital Measurement and Monitoring System. Adv. Intell. Syst., 3: 2000030. https://doi.org/10.1002/aisy.202000030

Unobtrusive, low‐cost out‐of‐hospital, and in‐hospital measurement and monitoring system

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Author: Vuorinen, Tiina1; Noponen, Kai2; Jeyhani, Vala3;
Organizations: 1Faculty of Information Technology and Communication Sciences, Tampere University, 33720, Finland
2Center for Machine Vision and Signal Analysis, University of Oulu, 90570, Finland
3Faculty of Medicine and Health Technology, Tampere University, 33720, Finland
4Research Unit of Internal Medicine, Medical Research Center Oulu, University of Oulu
5Oulu University Hospital, 90570, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020080448048
Language: English
Published: John Wiley & Sons, 2021
Publish Date: 2020-08-04
Description:

Abstract

Continuous monitoring of vital signs can be a life‐saving matter for different patient groups. The development is going toward more intelligent and unobtrusive systems to improve the usability of body‐worn monitoring devices. Body‐worn devices can be skin‐conformable, patch‐type monitoring systems that are comfortable to use even for prolonged periods of time. Herein, an intelligent and wearable, out‐of‐hospital, and in‐hospital four‐electrode electrocardiography (ECG) and respiration measurement and monitoring system is proposed. The system consists of a conformable screen‐printed disposable patch, a measurement unit, gateway unit, and cloud‐based analysis tools with reconfigurable signal processing pipelines. The performance of the ECG patch and the measurement unit was tested with cardiac patients and compared with a Holter monitoring device and discrete, single‐site electrodes.

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Series: Advanced intelligent systems
ISSN: 2640-4567
ISSN-E: 2640-4567
ISSN-L: 2640-4567
Volume: 2021; 3
Issue: 3
Pages: 1 - 10
Article number: 2000030
DOI: 10.1002/aisy.202000030
OADOI: https://oadoi.org/10.1002/aisy.202000030
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
217 Medical engineering
3121 General medicine, internal medicine and other clinical medicine
Subjects:
Funding: This work was funded by the Finnish Funding Agency for Technology and Innovation (Tekes) as a part of project VitalSens (decision ID 40103/14) and ESCAPE (618/31/2015) and Academy of Finland (grant nos. 288945, 292477, 318927, and 319408). T.V. thanks KAUTE Foundation and Eemil Aaltonen Foundation for support. K.N. would like to thank Tauno Tönning Foundation for support.
Academy of Finland Grant Number: 288945
318927
319408
Detailed Information: 288945 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
319408 (Academy of Finland Funding decision)
Copyright information: © 2020 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
  https://creativecommons.org/licenses/by/4.0/