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Patient Self-Monitoring Using Intelligent Phonocardiography on a Mobile Platform
Univeristy of Bergen, Norway.ORCID iD: 0000-0003-2797-9119
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Department of Biomedical Engineering.ORCID iD: 0000-0002-7532-6828
2023 (English)In: Studies in Health Technology and Informatics, ISSN 1879-8365, Vol. 309, p. 185-186Article in journal, Meeting abstract (Refereed) Published
Abstract [en]

The paper presents the design and high-fidelity prototype of the remote patient self-monitoring system using a combination of intelligent phonocardiography, mobile and web-based platforms. The advantage of self-monitoring is patient awareness about potential changes, the convenience of performing the measurement often, and the saving of the findings. A mobile platform enables a physician to see the data, get a summary of patient recordings, and as well as saving the data. We have designed two user profiles to enable such functionality and to enable consultations. During the three development iterations, two main prototypes were developed. In the patient prototype, the main functionality is measuring PCG signals, but with the possibility of reading more details about the results. In the physician's prototype, the main functionality is the patient overview, with the possibility of querying through old patient data to consult newer patients. For physicians to monitor patients monitoring themselves, the solution needs to be properly clinically validated and regulatory demands satisfy before it could be utilized in the Norwegian health domain.

Place, publisher, year, edition, pages
Turin, Italy: IOS Press, 2023. Vol. 309, p. 185-186
Keywords [en]
heart sound monitoring, intelligent phonocardiography, patient follow up, online consultations, User-Centered Design (UCD)
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-198703DOI: 10.3233/SHTI230774Scopus ID: 2-s2.0-85175584955OAI: oai:DiVA.org:liu-198703DiVA, id: diva2:1806780
Conference
EFMI Special Topic Conference 2023 Telehealth Ecosystems in Practice Torino, Italy25-27 October 2023
Available from: 2023-10-23 Created: 2023-10-23 Last updated: 2026-02-18

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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More styles
Language
  • de-DE
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  • Other locale
More languages
Output format
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  • asciidoc
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