کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6920970 | 864438 | 2016 | 33 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Real-time prediction of acute cardiovascular events using hardware-implemented Bayesian networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Real-time prediction of acute cardiovascular events using hardware-implemented Bayesian networks Real-time prediction of acute cardiovascular events using hardware-implemented Bayesian networks](/preview/png/6920970.png)
چکیده انگلیسی
This paper presents a decision support system that aims to estimate a patient׳s general condition and detect situations which pose an immediate danger to the patient׳s health or life. The use of this system might be especially important in places such as accident and emergency departments or admission wards, where a small medical team has to take care of many patients in various general conditions. Particular stress is laid on cardiovascular and pulmonary conditions, including those leading to sudden cardiac arrest. The proposed system is a stand-alone microprocessor-based device that works in conjunction with a standard vital signs monitor, which provides input signals such as temperature, blood pressure, pulseoxymetry, ECG, and ICG. The signals are preprocessed and analysed by a set of artificial intelligence algorithms, the core of which is based on Bayesian networks. The paper focuses on the construction and evaluation of the Bayesian network, both its structure and numerical specification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 69, 1 February 2016, Pages 245-253
Journal: Computers in Biology and Medicine - Volume 69, 1 February 2016, Pages 245-253
نویسندگان
Wojciech Tylman, Tomasz Waszyrowski, Andrzej Napieralski, Marek KamiÅski, Tamara TrafidÅo, Zbigniew Kulesza, RafaÅ Kotas, PaweÅ Marciniak, RadosÅaw Tomala, Maciej Wenerski,