메뉴 건너뛰기




Volumn 83 LNICST, Issue , 2012, Pages 256-263

Identifying chronic disease complications utilizing state of the art data fusion methodologies and signal processing algorithms

Author keywords

algorithms; data fusion; patient monitoring

Indexed keywords

ADDED VALUES; BODY TEMPERATURE; CHRONIC DISEASE; ECG SIGNALS; ENVIRONMENT TEMPERATURE; FUSION METHODOLOGY; INTER-DEPENDENCIES; LOCAL RULES; SEMANTIC ENRICHMENT; SIGNAL PROCESSING ALGORITHMS; STATE OF THE ART; WAVELET ALGORITHMS;

EID: 84869595439     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29734-2_35     Document Type: Conference Paper
Times cited : (4)

References (5)
  • 1
    • 0028960610 scopus 로고
    • Detection of ECG characteristic points using wavelet transforms
    • Li, C., Zheng, C., Tai, C.: Detection of ECG characteristic points using wavelet transforms. IEEE Transactions on Biomedical Engineering 42(1), 21-28 (1995)
    • (1995) IEEE Transactions on Biomedical Engineering , vol.42 , Issue.1 , pp. 21-28
    • Li, C.1    Zheng, C.2    Tai, C.3
  • 3
    • 48749085152 scopus 로고    scopus 로고
    • Detection of valvular heart disorders using wavelet packet decomposition and support vector machine
    • Choi, S.: Detection of valvular heart disorders using wavelet packet decomposition and support vector machine. Expert Systems with Applications 35(4), 1679-1687 (2008)
    • (2008) Expert Systems with Applications , vol.35 , Issue.4 , pp. 1679-1687
    • Choi, S.1
  • 4
    • 84870673972 scopus 로고    scopus 로고
    • WEKA
    • WEKA, http://www.cs.waikato.ac.nz/ml/weka/
  • 5
    • 84870724401 scopus 로고    scopus 로고
    • PMML v4.0 Standard, http://www.dmg.org/v4-0-1/GeneralStructure.html
    • PMML V4.0 Standard


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.