Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
An Affordable ECG and Respiration Monitoring System Based on Raspberry PI and ADAS1000: First Step towards Homecare Applications
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.ORCID-id: 0000-0001-7807-8682
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.ORCID-id: 0000-0002-6995-967X
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.
Vise andre og tillknytning
2015 (engelsk)Inngår i: 16th Nordic-Baltic Conference on Biomedical Engineering: 16. NBC & 10. MTD 2014 joint conferences. October 14-16, 2014, Gothenburg, Sweden, Springer, 2015, s. 5-8Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer, 2015. s. 5-8
Serie
IFMBE Proceedings, ISSN 1680-0737 ; 48
Emneord [en]
Raspberry PI, ECG, Respiration, ADAS1000
HSV kategori
Forskningsprogram
Medicinsk teknologi; Elektro- och systemteknik
Identifikatorer
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 (tryckt)OAI: oai:DiVA.org:kth-154482DiVA, id: diva2:757699
Konferanse
16th Nordic-Baltic Conference on Biomedical Engineering
Merknad

QC20141024

Tilgjengelig fra: 2014-10-23 Laget: 2014-10-20 Sist oppdatert: 2015-02-20bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopusThe final publication is available at www.springerlink.com

Søk i DiVA

Av forfatter/redaktør
Abtahi, FarhadLindecrantz, KajSeoane, FernandoAslamy, BenjaminBoujabir, Imaneh
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 1006 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf