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Volumn 11, Issue 4, 2008, Pages 201-203

Frequency analysis of high-intensity transient signals of transcranial Doppler ultrasound in patients supported with a left ventricular assist device

Author keywords

Highintensity transient signals (HITS); Left ventricular assist device (LVAD); Middle cerebral artery (MCA); Transcranial Doppler (TCD)

Indexed keywords

AIR EMBOLISM; ARTICLE; DEVICE; DOPPLER ECHOGRAPHY; FREQUENCY ANALYSIS; HEART DISEASE; HIGH INTENSITY TRANSIENT SIGNAL; LEFT VENTRICULAR ASSIST DEVICE; MICROEMBOLISM; MIDDLE CEREBRAL ARTERY; NEUROLOGICAL COMPLICATION; PRIORITY JOURNAL; SIGNAL DETECTION;

EID: 59449098971     PISSN: 14347229     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10047-008-0430-7     Document Type: Article
Times cited : (8)

References (10)
  • 1
  • 3
    • 0030041698 scopus 로고    scopus 로고
    • Ventricular assist systems: Experience in Japan with the Toyobo pump and the Zeon pump
    • H. Takano T. Nakatani 1996 Ventricular assist systems: experience in Japan with the Toyobo pump and the Zeon pump Ann Thorac Surg 61 317 322
    • (1996) Ann Thorac Surg , vol.61 , pp. 317-322
    • Takano, H.1    Nakatani, T.2
  • 4
    • 0029041693 scopus 로고
    • Basic identification criteria of Doppler microembolic signals
    • Consensus Committee of the Ninth International Cerebral Hemodynamics Symposium.
    • Consensus Committee of the Ninth International Cerebral Hemodynamics Symposium. 1995 Basic identification criteria of Doppler microembolic signals Stroke 26 1123
    • (1995) Stroke , vol.26 , pp. 1123
  • 5
    • 59449087673 scopus 로고    scopus 로고
    • Frequency analysis of high-intensity transient signals in CPB distinguish solid embolic signals from gaseous signals
    • K. Hanzawa H. Ohzeki J. Hayashi 1998 Frequency analysis of high-intensity transient signals in CPB distinguish solid embolic signals from gaseous signals Ann Thorac Surg 66 1490
    • (1998) Ann Thorac Surg , vol.66 , pp. 1490
    • Hanzawa, K.1    Ohzeki, H.2    Hayashi, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.