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Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique

Human heart contains a lot of informations that indicate the condition of its operation and health. The informations can be extracted using image, acoustic, electric and vibration signal. The problem with current technology is that it suffers badly with noise and other unwanted interference. To addr...

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Main Author: Ng, Seng Hooi
Format: Thesis
Language:English
Published: 2021
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/101909/1/NgSengHooiMSKM2021.pdf
http://eprints.utm.my/id/eprint/101909/
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spelling my.utm.1019092023-07-22T03:55:37Z http://eprints.utm.my/id/eprint/101909/ Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique Ng, Seng Hooi TJ Mechanical engineering and machinery Human heart contains a lot of informations that indicate the condition of its operation and health. The informations can be extracted using image, acoustic, electric and vibration signal. The problem with current technology is that it suffers badly with noise and other unwanted interference. To address this noise issue with the latest technology is echocardiography, a diagnostic tool for diagnosing on cardiac contractility and valvular disease. However, this device is quite costly and labour intensive which requires a specialist who is expert and enough experience in using this equipment. Furthermore, most of medical institutes unable to afford the cost of equipment facility. This study aimed to investigate the application of a non-invasive cardiac diagnostic approach using an accelerometer sensor array, coupled with a directional filtering approach to remove the unwanted noise. This work proposed the utilization of directional filtering method to remove noise using body vibration sensor by employing adaptive beamforming method without altering the signal information. Seismocardiography (SCG) was used to capture body vibration signals recorded via vibration sensor that collects information related to the heart pumping activities and later diagnosed the heart disease. The sensor array was used to collect SCG signal for 28 cycle data from normal and abnormal heart conditions of subjects in supine position. It was found that signal of heart disease information in SCG was overlapped with the noise signal. A directional denoising method which comprised of Delay and Sum (DAS) beamforming and Linearly Constrained Minimum Variance (LCMV) beamforming algorithm were applied, and the performance were compared. The result of signal to noise ratio (SNR) for DAS beamforming algorithm on normal subject was 7.11dB and abnormal subject was 4.13dB. For LCMV beamforming algorithm, normal subject was 10.85dB and abnormal subject is 7.04dB. Based on these results, it showed that the LCMV beamforming performed better than DAS as indicated in the SNR improvement by 30%. This SNR improvement represents the better accuracy of heart disease diagnosis. 2021 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/101909/1/NgSengHooiMSKM2021.pdf Ng, Seng Hooi (2021) Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique. Masters thesis, Universiti Teknologi Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:148434
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Ng, Seng Hooi
Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique
description Human heart contains a lot of informations that indicate the condition of its operation and health. The informations can be extracted using image, acoustic, electric and vibration signal. The problem with current technology is that it suffers badly with noise and other unwanted interference. To address this noise issue with the latest technology is echocardiography, a diagnostic tool for diagnosing on cardiac contractility and valvular disease. However, this device is quite costly and labour intensive which requires a specialist who is expert and enough experience in using this equipment. Furthermore, most of medical institutes unable to afford the cost of equipment facility. This study aimed to investigate the application of a non-invasive cardiac diagnostic approach using an accelerometer sensor array, coupled with a directional filtering approach to remove the unwanted noise. This work proposed the utilization of directional filtering method to remove noise using body vibration sensor by employing adaptive beamforming method without altering the signal information. Seismocardiography (SCG) was used to capture body vibration signals recorded via vibration sensor that collects information related to the heart pumping activities and later diagnosed the heart disease. The sensor array was used to collect SCG signal for 28 cycle data from normal and abnormal heart conditions of subjects in supine position. It was found that signal of heart disease information in SCG was overlapped with the noise signal. A directional denoising method which comprised of Delay and Sum (DAS) beamforming and Linearly Constrained Minimum Variance (LCMV) beamforming algorithm were applied, and the performance were compared. The result of signal to noise ratio (SNR) for DAS beamforming algorithm on normal subject was 7.11dB and abnormal subject was 4.13dB. For LCMV beamforming algorithm, normal subject was 10.85dB and abnormal subject is 7.04dB. Based on these results, it showed that the LCMV beamforming performed better than DAS as indicated in the SNR improvement by 30%. This SNR improvement represents the better accuracy of heart disease diagnosis.
format Thesis
author Ng, Seng Hooi
author_facet Ng, Seng Hooi
author_sort Ng, Seng Hooi
title Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique
title_short Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique
title_full Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique
title_fullStr Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique
title_full_unstemmed Cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique
title_sort cardiac seismocardiography analysis using 2- elements accelerometer sensor array and beamforming technique
publishDate 2021
url http://eprints.utm.my/id/eprint/101909/1/NgSengHooiMSKM2021.pdf
http://eprints.utm.my/id/eprint/101909/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:148434
_version_ 1772811129101221888
score 13.211869

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