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Volumn 30, Issue 8, 1999, Pages 1610-1615

Improved automated detection of embolic signals using a novel frequency filtering approach

Author keywords

Carotid artery diseases; Cerebral embolism; Signal processing, computer assisted; Ultrasonography

Indexed keywords

ARTICLE; BLOOD FLOW VELOCITY; BRAIN EMBOLISM; CAROTID ARTERY DISEASE; CEREBROVASCULAR DISEASE; DOPPLER ECHOGRAPHY; EMBOLISM; HUMAN; PRIORITY JOURNAL; SIGNAL DETECTION; ULTRASOUND;

EID: 0032807508     PISSN: 00392499     EISSN: None     Source Type: Journal    
DOI: 10.1161/01.STR.30.8.1610     Document Type: Article
Times cited : (29)

References (11)
  • 1
    • 0025317321 scopus 로고
    • Detection of middle cerebral artery emboli during carotid endarterectomy using transcranial Doppler ultrasonography
    • Spencer MP, Thomas GI, Nicholls SC, Sauvage LR. Detection of middle cerebral artery emboli during carotid endarterectomy using transcranial Doppler ultrasonography. Stroke. 1990;21:415-423.
    • (1990) Stroke , vol.21 , pp. 415-423
    • Spencer, M.P.1    Thomas, G.I.2    Nicholls, S.C.3    Sauvage, L.R.4
  • 2
    • 0027321485 scopus 로고
    • Transcranial Doppler detection of circulating cerebral emboli: A review
    • Markus H. Transcranial Doppler detection of circulating cerebral emboli: a review. Stroke. 1993;24:1246-1250.
    • (1993) Stroke , vol.24 , pp. 1246-1250
    • Markus, H.1
  • 4
    • 0027428855 scopus 로고
    • Computerized detection of cerebral emboli and discrimination from artifact using Doppler ultrasound
    • Markus H, Loh A, Brown MM. Computerized detection of cerebral emboli and discrimination from artifact using Doppler ultrasound. Stroke. 1993;24:1667-1672.
    • (1993) Stroke , vol.24 , pp. 1667-1672
    • Markus, H.1    Loh, A.2    Brown, M.M.3
  • 6
    • 0028074789 scopus 로고
    • Real-time identification of cerebral microemboli with US feature detection by a neural network
    • Siebler M, Rose G, Sitzer M, Bender A, Steinmetz H. Real-time identification of cerebral microemboli with US feature detection by a neural network. Radiology. 1994;192:739-742.
    • (1994) Radiology , vol.192 , pp. 739-742
    • Siebler, M.1    Rose, G.2    Sitzer, M.3    Bender, A.4    Steinmetz, H.5
  • 7
    • 85038155953 scopus 로고    scopus 로고
    • Frequency filtering improves ultrasonic embolic signal detection
    • In press
    • Markus HS, Reid G. Frequency filtering improves ultrasonic embolic signal detection. Ultrasound Med Biol. In press.
    • Ultrasound Med Biol.
    • Markus, H.S.1    Reid, G.2
  • 9
    • 0030891814 scopus 로고    scopus 로고
    • The use of a decibel threshold in the detection of embolic signals
    • Markus HS, Molloy J. The use of a decibel threshold in the detection of embolic signals. Stroke. 1997;28:692-695.
    • (1997) Stroke , vol.28 , pp. 692-695
    • Markus, H.S.1    Molloy, J.2
  • 10
    • 0027520512 scopus 로고
    • Quantification of ultrasound emboli signals in patients with cardiac and carotid disease
    • Grosset DG, Georgiadis D, Kelman AW, Lees KR. Quantification of ultrasound emboli signals in patients with cardiac and carotid disease. Stroke. 1993;24:1922-1924.
    • (1993) Stroke , vol.24 , pp. 1922-1924
    • Grosset, D.G.1    Georgiadis, D.2    Kelman, A.W.3    Lees, K.R.4
  • 11
    • 0032984865 scopus 로고    scopus 로고
    • Asymptomatic embolization predicts stroke and TIA risk in patients with carotid artery stenosis
    • Molloy J, Markus HS. Asymptomatic embolization predicts stroke and TIA risk in patients with carotid artery stenosis. Stroke. 1999;30: 1440-1443.
    • (1999) Stroke , vol.30 , pp. 1440-1443
    • Molloy, J.1    Markus, H.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.