A real time ECG signal processing application for arrhythmia detection on portable devices

Postgraduate Thesis uoadl:1719656 683 Read counter

Unit:
Κατεύθυνση Πληροφορική στην Ιατρική
Πληροφορική
Deposit date:
2017-07-14
Year:
2017
Author:
Doulgeraki Niki
Georganis Andreas
Supervisors info:
ΠΑΝΤΕΛΗΣ ΑΣΒΕΣΤΑΣ, ΕΠΙΚΟΥΡΟΣ ΚΑΘΗΓΗΤΗΣ, ΤΕΙ ΑΘΗΝΩΝ
Original Title:
Ανάπτυξη εφαρμογής επεξεργασίας καρδιακού σήματος σε φορητή συσκευή για ανίχνευση αρρυθμιών
Languages:
English
Greek
Translated title:
A real time ECG signal processing application for arrhythmia detection on portable devices
Summary:
Arrhythmia describes the disorders of normal heart rate, which, depending on the case, can even be fatal for a patient with severe history of heart disease. The purpose of this work is to develop an application for heart signal visualization, processing and analysis in Android portable devices e.g. Mobile phones, tablets, etc. The application is able to retrieve the signal initially from a file and at a later stage this signal is processed and analyzed within the device, so that it can be classified based on the features of the arrhythmia. In the processing and analyzing stage, different algorithms are included among them the Moving Average and Pan Tompkins algorithm as well as the use of wavelets in order to extract features and characteristics. At the final stage, testing is performed by simulating our application in real-time records using the TCP network protocol for communicating the mobile with a simulated signal source. The classification of ECG beat to be processed is performed by neural networks.
Main subject category:
Digital Signal and Image Processing
Keywords:
Electrocardiogram, Arrhythmia, ECG features, Classification, Android
Index:
Yes
Number of index pages:
6
Contains images:
Yes
Number of references:
55
Number of pages:
108
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