Automatic Arrhythmia Beat Detection: Algorithm, System, and Implementation
نویسندگان
چکیده
منابع مشابه
Automatic ECG Beat Arrhythmia Detection
Background: In recent years automated data analysis techniques have drawn great attention and are used in almost every field of research including biomedical. Artificial Neural Networks (ANNs) are one of the ComputerAidedDiagnosis tools which are used extensively by advances in computer hardware technology. The application of these techniques for disease diagnosis has made great progress and is...
متن کاملAn arrhythmia--anomalous beat monitoring system.
An electronic monitoring system has been developed to detect the four conditions that usually lead to fibrillation in the in farcted heart_ A rtifact-free QRS detection is aecomplished by passing the preamplified QRS through a bandpass filter, an automatie gain control (AGC) circuit, a full-wave rectifier, a nonlinear amplifier, and positive and negative slope detectors. High-threshold logic ...
متن کاملDesign and implementation of an automatic car turning system
In this paper, a control system is designed for automatic car turning. At first, the necessary information of car turning that were collected from the traffic bylaw, car driving training centers and traffic police are explained. Then, car turning is studied experimentally on several streets with different widths. Afterward, a proper path is designed for the automatic car turning system consider...
متن کاملBeat Classification For Use In Arrhythmia Analysis
An important step in the classification of arrhythmias is beat classification. The aim of this work is to classify the beats in the MIT-BIH Arrhythmia database and to investigate pertinent features for beat classification. A comparison is made of the classification performance using features obtained after three different processing tasks on the electrocardiogram: QRS detection, QRS onset/offse...
متن کاملahp algorithm and un-supervised clustering in auto insurance fraud detection
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Makara Journal of Technology
سال: 2016
ISSN: 2356-4539,2355-2786
DOI: 10.7454/mst.v20i2.3332