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AuthorQidwai, Uvais
AuthorShakir, Mohammed
Available date2024-05-07T05:39:59Z
Publication Date2012
Publication NameISIEA 2012 - 2012 IEEE Symposium on Industrial Electronics and Applications
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ISIEA.2012.6496661
URIhttp://hdl.handle.net/10576/54692
AbstractEmbedded Electrocardiogram (E-ECG) based health diagnosis of cardiac diseases has been a saturated area of research and almost any known heart-condition can be detected and diagnosed by doctors in the hospital setting. However, these approaches fall extremely short when attempting to design an automatic detection system to do the same. The situation becomes even more difficult when the measurement system is being designed for a ubiquitous application, in which the patient is not confined to the hospital and the device is attached to him/her externally while the person is involved in daily chores. Hence the presented work covers the algorithm, classification technique and testing the some of cardiac conditions that can be monitored and detected by the embedded system to produce warning signals inorder to inform the concerned healthcare persons, when the signs of such conditions when begins to show. Due to the compact nature of such systems, the detection and classification techniques have to be extremely simple in order to be processed in the small memory of the microcontroller of the ubiquitous system. The paper also presents an embedded system which calculates the energy levels of the diseases with the combination of digital filters and Fuzzy classifications implemented at look-up table level in order to preserve the simplicity of the system.
Languageen
PublisherIEEE
SubjectAtrio-Ventricular Block
Electrocardiogram (ECG)
Embedded System
Energy levels
Fibrillation
Finite Impulse Response (FIR) filters
Fuzzy Classifier
Microcontroller
Premature Ventricular Contraction
Ubiquitous computing
TitleEmbedded system design with filter bank and fuzzy classification approach to critical cardiac abnormalities detection
TypeConference Paper
Pagination361-366
dc.accessType Abstract Only


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