Abstract：
:An ongoing issue in vascular medicine is the measure of the blood flow. Catheterization remains the gold standard measurement method, although non-invasive techniques are an area of intense research. We hereby present a computational method for real-time measurement of the blood flow from color flow Doppler data, with a focus on simplicity and monitoring instead of diagnostics. We then analyze the performance of a proof-of-principle software implementation. We imagined a geometrical model geared towards blood flow computation from a color flow Doppler signal, and we developed a software implementation requiring only a standard diagnostic ultrasound device. Detection performance was evaluated by computing flow and its determinants (flow speed, vessel area, and ultrasound beam angle of incidence) on purposely designed synthetic and phantom-based arterial flow simulations. Flow was appropriately detected in all cases. Errors on synthetic images ranged from nonexistent to substantial depending on experimental conditions. Mean errors on measurements from our phantom flow simulation ranged from 1.2 to 40.2% for angle estimation, and from 3.2 to 25.3% for real-time flow estimation. This study is a proof of concept showing that accurate measurement can be done from automated color flow Doppler signal extraction, providing the industry the opportunity for further optimization using raw ultrasound data.
journal_name
J Clin Monit Computjournal_title
Journal of clinical monitoring and computingauthors
Schorer R,Badoual A,Bastide B,Vandebrouck A,Licker M,Sage Ddoi
10.1007/s10877-016-9953-2subject
Has Abstractpub_date
2017-12-01 00:00:00pages
1167-1175issue
6eissn
1387-1307issn
1573-2614pii
10.1007/s10877-016-9953-2journal_volume
31pub_type
杂志文章abstract：:In recent years students have increasingly objected to laboratory exercises involving animal subjects. We have replaced the valuable animal experiments with demonstrations using a full-scale human patient simulator. In small groups first-year medical students observe realistic clinical situations such as opioid-induce...
journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1023/a:1011401011887
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abstract：OBJECTIVE:To compare expert-generated textual summaries of physiological data with trend graphs, in terms of their ability to support neonatal Intensive Care Unit (ICU) staff in making decisions when presented with medical scenarios. METHODS:Forty neonatal ICU staff were recruited for the experiment, eight from each o...
journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1007/s10877-005-0879-3
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1023/a:1009978816071
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journal_title：Journal of clinical monitoring and computing
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1023/b:jocm.0000042919.04719.a7
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1007/s10877-005-9005-9
更新日期：2006-04-01 00:00:00
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journal_title：Journal of clinical monitoring and computing
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doi：10.1007/s10877-013-9479-9
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章,随机对照试验
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章,随机对照试验
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更新日期：2019-10-01 00:00:00
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1023/a:1009972223750
更新日期：1999-08-01 00:00:00
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journal_title：Journal of clinical monitoring and computing
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doi：10.1007/s10877-016-9857-1
更新日期：2017-04-01 00:00:00
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journal_title：Journal of clinical monitoring and computing
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pub_type： 杂志文章
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更新日期：2004-12-01 00:00:00
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1007/s10877-020-00556-1
更新日期：2020-07-14 00:00:00
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
doi：10.1007/s10877-016-9877-x
更新日期：2017-06-01 00:00:00
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
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journal_title：Journal of clinical monitoring and computing
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章
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journal_title：Journal of clinical monitoring and computing
pub_type： 杂志文章,随机对照试验
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更新日期：2015-02-01 00:00:00
abstract：:In mechanical ventilation, a careful setting of the ventilation parameters in accordance with the current individual state of the lung is crucial to minimize ventilator induced lung injury. Positive end-expiratory pressure (PEEP) has to be set to prevent collapse of the alveoli, however at the same time overdistension...
journal_title：Journal of clinical monitoring and computing
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