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Full Impedance Cardiography Measurement Device Using Raspberry PI3 and System-on-Chip Biomedical Instrumentation Solutions
Univ Sci & Technol Houari Boumediene, Lab Instrumentat, Algiers 16111, Algeria.;Univ Boras, Dept Text Technol, S-50332 Boras, Sweden..ORCID iD: 0000-0001-6640-1868
Univ Sci & Technol Houari Boumediene, Lab Instrumentat, Algiers 16111, Algeria.;Univ Boras, Dept Text Technol, S-50332 Boras, Sweden..
Univ Sci & Technol Houari Boumediene, Lab Instrumentat, Algiers 16111, Algeria..
KTH, School of Technology and Health (STH). Karolinska Inst, Inst Environm Med, SE-17177 Stockholm, Sweden.;Karolinska Univ Hosp, Dept Clin Physiol, S-14186 Huddinge, Sweden..ORCID iD: 0000-0001-7807-8682
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2018 (English)In: IEEE journal of biomedical and health informatics, ISSN 2168-2194, E-ISSN 2168-2208, Vol. 22, no 6, p. 1883-1894Article in journal (Refereed) Published
Abstract [en]

Impedance cardiography (ICG) is a noninvasive method for monitoring cardiac dynamics using electrical bioimpedance (EBI) measurements. Since its appearance more than 40 years ago, ICG has been used for assessing hemodynamic parameters. This paper presents a measurement system based on two System on Chip (SoC) solutions and Raspberry PI, implementing both a full three-lead ECG recorder and an impedance cardiographer, for educational and research development purposes. Raspberry PI is a platform supporting Do-I t-Yourself project and education applications across the world. The development is part of Biosignal PI, an open hardware platform focusing in quick prototyping of physiological measurement instrumentation. The SoC used for sensing cardiac biopotential is the ADAS1000, and for the EBI measurement is the AD5933. The recordings were wirelessly transmitted through Bluetooth to a PC, where the waveforms were displayed, and hemodynamic parameters such as heart rate, stroke volume, ejection time and cardiac output were extracted from the ICG and ECG recordings. These results show how Raspberry PI can be used for quick prototyping using relatively widely available and affordable components, for supporting developers in research and engineering education. The design and development documents will be available on www.BiosignalPl.com, for open access under a Non Commercial-Share A like 4.0 International License.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 22, no 6, p. 1883-1894
Keywords [en]
AD5933, ADAS1000, bioimpedance, biosignal PI, biomedical instrumentation, cardiac monitoring, personalized healthcare, portable ECG, ICG, Raspberry PI3
National Category
Medical Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-238525DOI: 10.1109/JBHI.2017.2783949ISI: 000447833100019PubMedID: 29990025Scopus ID: 2-s2.0-85038859857OAI: oai:DiVA.org:kth-238525DiVA, id: diva2:1261009
Note

QC 20181106

Available from: 2018-11-06 Created: 2018-11-06 Last updated: 2020-03-09Bibliographically approved

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Abtahi, Farhad

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