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Volumn , Issue , 2010, Pages 1975-1978

Wireless transmission of sensor signals for phonocardiology applications

Author keywords

[No Author keywords available]

Indexed keywords

BATTERY LIFE; BLUETOOTH TECHNOLOGY; HEART SOUNDS; LOW-POWER CONSUMPTION; MOBILE APPLICATIONS; PHONOCARDIOGRAPHY; SENSOR SIGNALS; TEST RESULTS; WIRELESS COMMUNICATION TECHNIQUES; WIRELESS TRANSMISSIONS; ZIG-BEE;

EID: 79951928744     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSENS.2010.5689905     Document Type: Conference Paper
Times cited : (5)

References (11)
  • 1
    • 27644573085 scopus 로고    scopus 로고
    • [cited 2010 June 1]; Available from
    • Cardiovascular diseases. [cited 2010 June 1]; Available from: http://www.who.int/mediacentre/factsheets/fs317/en/index.html.
    • Cardiovascular Diseases
  • 3
    • 84889645663 scopus 로고    scopus 로고
    • [cited 2008 November]; Available from
    • Mica2 Platform. [cited 2008 November]; Available from: http://www.xbow.com/Products/productsdetails.aspx?sid=101.
    • Mica2 Platform
  • 4
    • 44949205031 scopus 로고    scopus 로고
    • [cited 2008 November ]; Available from
    • MicaZ Platform. [cited 2008 November ]; Available from: http://www.xbow.com/Products/productsdetails.aspx?sid=72.
    • MicaZ Platform
  • 10
    • 84907107475 scopus 로고
    • The wavelet transform and its applications to phonocardiogram signal analysis
    • Khadr, L. and M. Matalgah, The wavelet transform and its applications to phonocardiogram signal analysis. Medical Informatics, 1991. 16(3): p. 221-227.
    • (1991) Medical Informatics , vol.16 , Issue.3 , pp. 221-227
    • Khadr, L.1    Matalgah, M.2
  • 11
    • 33750685350 scopus 로고    scopus 로고
    • Feature Extraction for Systolic Heart Murmur Classification
    • Ahlstrom, C., et al., Feature Extraction for Systolic Heart Murmur Classification. Annals of Biomedical Engineering, 2006. 34(11): p. 1666.
    • (2006) Annals of Biomedical Engineering , vol.34 , Issue.11 , pp. 1666
    • Ahlstrom, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.