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An Affordable ECG and Respiration Monitoring System Based on Raspberry PI and ADAS1000: First Step towards Homecare Applications
KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.ORCID iD: 0000-0001-7807-8682
KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.ORCID iD: 0000-0002-6995-967X
KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
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2015 (English)In: 16th Nordic-Baltic Conference on Biomedical Engineering: 16. NBC & 10. MTD 2014 joint conferences. October 14-16, 2014, Gothenburg, Sweden, Springer, 2015, 5-8 p.Conference paper, Published paper (Refereed)
Abstract [en]

Homecare is a potential solution for problems associated with an aging population. This may involve several physiological measurements, and hence a flexible but affordable measurement device is needed. In this work, we have designed an ADAS1000-based four-lead electrocardiogram (ECG) and respiration monitoring system. It has been implemented using Raspberry PI as a platform for homecare applications. ADuM chips based on iCoupler technology have been used to achieve electrical isolation as required by IEC 60601 and IEC 60950 for patient safety. The result proved the potential of Raspberry PI for the design of a compact, affordable, and medically safe measurement device. Further work involves developing a more flexible software for collecting measurements from different devices (measuring, e.g., blood pressure, weight, impedance spectroscopy, blood glucose) through Bluetooth or user input and integrating them into a cloud-based homecare system.

Place, publisher, year, edition, pages
Springer, 2015. 5-8 p.
Series
IFMBE Proceedings, ISSN 1680-0737 ; 48
Keyword [en]
Raspberry PI, ECG, Respiration, ADAS1000
National Category
Medical Equipment Engineering
Research subject
Medical Technology; Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-154482DOI: 10.1007/978-3-319-12967-9_2ISI: 000347893000002Scopus ID: 2-s2.0-84910682937ISBN: 978-3-319-12966-2 (print)OAI: oai:DiVA.org:kth-154482DiVA: diva2:757699
Conference
16th Nordic-Baltic Conference on Biomedical Engineering
Note

QC20141024

Available from: 2014-10-23 Created: 2014-10-20 Last updated: 2015-02-20Bibliographically approved

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Publisher's full textScopusThe final publication is available at www.springerlink.com

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Abtahi, FarhadSeoane, Fernando

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