کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381504 1437505 2007 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Towards a heart disease diagnosing system based on force sensitive chair's measurement, biorthogonal wavelets and neural networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Towards a heart disease diagnosing system based on force sensitive chair's measurement, biorthogonal wavelets and neural networks
چکیده انگلیسی

The heart disease diagnosing (HDD) system consists of a sensitive movement EMFi™-film1 sensor installed under the upholstery of a chair. Whilst a man rests on the chair, this sensor which is sensitive to force gives us a single electrical signal containing components reflective of cardiac-ballistocardiogram (BCG), respiratory, and body movements related motion. Among different measurements of body activities, BCG has the interesting property that no electrodes are needed to be attached to the body during recording, suitable to evaluate man heart condition in any place such as home, car, or his office. This paper describes briefly our developed HDD system and especially a combined intelligent signal processing method to detect, extract features and finally cluster BCG cycles for assisting medical doctors to diagnose heart diseases of person under test. Indeed, it is a fully automatic system which is not very sensitive to the BCG latency as well as non-linear disturbance. It uses high resolution Biorthogonal wavelet transforms to extract essential BCG features and to cluster those using artificial neural networks (ANNs). Some evaluations using recordings from normal young, normal old and abnormal old volunteers indicated that our combined method is reliable and has high performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 20, Issue 4, June 2007, Pages 493–502
نویسندگان
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