ECG noise reduction technique using antlion (ALO) algorithm for heart rate monitoring devices / (Record no. 94666)

MARC details
000 -LEADER
fixed length control field 03608ntm a2200373 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field MY-KuUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251125105757.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201105t2 2 M a|||fram|| 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0008961(Local)
Qualifying information hardback
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
Language of cataloging eng
Transcribing agency UMP
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FKEE .H55 2020 r Thesis
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hii, Kiew Hui,
Relator term author.
245 10 - TITLE STATEMENT
Title ECG noise reduction technique using antlion (ALO) algorithm for heart rate monitoring devices /
Statement of responsibility, etc. Hii Kiew Hui
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Kuantan, Pahang :
Name of producer, publisher, distributor, manufacturer UMP,
Date of production, publication, distribution, manufacture, or copyright notice 2020
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice © 2020
300 ## - PHYSICAL DESCRIPTION
Extent xi, 56 pages :
Other physical details illustrations (some color) ;
Dimensions 30 cm. +
Accompanying material 1 CD ROM
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
337 ## - MEDIA TYPE
Media type term computer
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
338 ## - CARRIER TYPE
Carrier type term computer disc
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
500 ## - GENERAL NOTE
General note Faculty of Electrical and Electronics Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Master of Engineering (Electronics)) -- Universiti Malaysia Pahang – 2020
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references
520 3# - SUMMARY, ETC.
Summary, etc. There are more 6 billion people alive today, and the number is expected to reach until 9 billion in coming 30-40 years. As of the declining of the birth rate and booming aging population, it is suspected that number of elderly people will be more than young children in human history. Wearable technology may provide the solution for providing health care to the growth of the aging population. Based on World Health Organization (2016) report, it has been found out that Cardiovascular Diseases (CVD) is the world’s leading cause of death. Wearable technology solutions could ease the burden on healthcare personal and hospital space more emergent or responsive care at the same time. Since the electrocardiogram (ECG) noise is in the low frequency, it is very easy interrupt with the noise; especially noise from electrical and the intensity of physiological. It will lead to the problem on interruption the morphology and it will make doctors hard to identify what is the disease are. As a result, this is very important to obtain the clean and clear on the morphology of ECG. This is because the morphology of ECG supports in analyzing many information of the heart disorder. This thesis aims to research into an effective way to capture human critical physiological parameters - heart rate. One of the objectives of the research is to identify the morphology of electrocardiogram signal by using the median filter to reduce the high frequency noise for the ECG database. Second objective is to identify and optimize the cutoff frequency using the Antlion optimization (ALO) for FIR filter. The signal processing techniques - Antlion Optimizer (ALO) can help on finding the cutoff frequency automatically. By finding out the cutoff frequency, it will bring to the cancelling noise stage. The cutoff frequency is applied to a Finite Impulse filter (FIR) for getting an original and clean ECG signal. From the simulations, the optimized cutoff frequency is retrieved in higher than the conventional method’s signal to ratio (SNR). The proposed method’s cutoff frequency performance was with the conventional cutoff frequency of feature extraction of the signal. The ALO optimum cutoff frequencies’ result shows that the proposed method reduced more noise than the conventional method.
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Electrical and Electronics Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost Library of Congress Classification     Reference UMPLIB PEKAN UMPLIB PEKAN 05/11/2020   FKEE .H55 2020 r Thesis T000001157 29/12/2020 1 05/11/2020 Thesis
  Not lost Library of Congress Classification   Not for loan Reference UMPLIB PEKAN UMPLIB PEKAN 05/11/2020   CD12764 T000001158 19/02/2021 1 05/11/2020 Thesis

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