دانلود رایگان مقاله لاتین ارزیابی نوار قلب بر اساس شبکه عصبی از سایت الزویر
عنوان فارسی مقاله:
ارزیابی نوار قلب بر اساس شبکه های عصبی با آموزش قبلی
عنوان انگلیسی مقاله:
ECG assessment based on neural networks with pretraining
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
Cardiovascular disease (CVD) remains the main cause of death worldwide. According to the most recent statistics of the World Health Organisation (WHO), CVD mortality rates are expected to range between 246 deaths for 100,000 population in 2015 to 264 for 100,000 population in 2030 [1]. The early detection of CVD through ambulatory care services may significantly decrease time to treatment in hospital cardiology services and, consequently, improve patient outcomes while improving service productivity and keeping costs under control. Electrocardiography (ECG) is a fast and reliable method for assessing cardiac function in general and arrhythmias in particular. However, the assessment of ECGs is challenging and diagnoses must be confirmed/checked by an expert cardiologist. During patient triage at an emergency service or an ambulatory cardiac examination, it is possible that some abnormalities may go undetected or that a normal ECG might be considered as pathological. Therefore, an accurate ECG triage tool is required to improve the decision process prior to referring a patient to a cardiology service. This triage tool must be accurate and present good sensitivity and specificity
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کلمات کلیدی:
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