KUET Institutional Repository

De-noising of ECG signal using FIR filter and QRS detection

Show simple item record

dc.contributor.advisor Islam, Dr. Sheikh Md. Rabiul
dc.contributor.author Mou, Jannatul Robaiat
dc.date.accessioned 2018-05-20T04:50:16Z
dc.date.available 2018-05-20T04:50:16Z
dc.date.issued 2017-05
dc.identifier.uri http://hdl.handle.net/20.500.12228/115
dc.description This thesis is submitted to the Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electronics and Communication Engineering, May, 2017. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 82-86).
dc.description.abstract Electrocardiogram (ECG) machines are usually used for medical diagnosis of heart activities of human body now days. Every portion of ECG is very essential for the diagnosis of different cardiac problems. But the amplitude and duration of ECG signal is usually corrupted by different types of noise and interference based on interfaces between ECG machines and human body. It can change the real amplitude and duration of the signal. In electrocardiogram (ECG), noise removal and QRS complex play the vital role for detecting various heart diseases. So, noise free and accurate QRS detection becomes very important in ECG signal. In this thesis we proposed new algorithms which are able to make it noise free and detect QRS complex in ECG signal. Generally, a noise free algorithm removes the noisy signal and we have used Remez exchange algorithm for 1st algorithm, designed an arbitrary magnitude with FIR filter for 2nd algorithm, FIR filter with window method for 3rd proposed algorithm, We have also proposed moving average filter and moving average weighted window, and an algorithm based on forward difference quotient and threshold for corresponding algorithms respectively for noise elimination of ECG. QRS complex of noise free ECG signal have been detected by proposed detection algorithm. The performance parameters are SNR, MSE and Correlation and accuracy, sensitivity, specificity, precision are used to justify the proposed noise free algorithm and QRS detection. The real data examples and experimental results approve new algorithms and prove the robustness of the algorithms which are more effective in ECG applications. en_US
dc.description.statementofresponsibility Jannatul Robaiat Mou
dc.format.extent 87 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh. en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Electrocardiogram (ECG) en_US
dc.subject De-noising
dc.subject QRS Detection
dc.subject FIR Filter
dc.title De-noising of ECG signal using FIR filter and QRS detection en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Electronics and Communication Engineering
dc.contributor.department Department of Electronics and Communication Engineering


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search KUET IR


Advanced Search

Browse

My Account

Statistics