Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus

Tuba Ahmed; Mohammad Abdul Mukit; Khawza I. Ahmed; Raqibul Mostafa; Sharmin Parveen; Ahsan Habib Khandoker

doi:10.1109/TENSYMP50017.2020.9231020

Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus

Tuba Ahmed
, Mohammad Abdul Mukit
, Khawza I. Ahmed
, Raqibul Mostafa
, Sharmin Parveen
, Ahsan Habib Khandoker

Biomedical Engineering & Biotechnology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Microvascular complications are one of the roots of mortality among type II diabetes mellitus (T2DM) patients. The aim of the study is to determine the significance of the sleep segment from a 24-hour Holter ECG recording and to show the variation between the 24-hour signal and the sleep-segmented signal among the T2DM patients in Bangladesh using electrocardiographic variables related to microvascular complications. ECG data recording has been obtained from 103 T2DM patients (≥40 years old) and studied using time and frequency domain analysis of heart rate variability (HRV). The significance has been set at less than 0.05. The result reveals that the sleep segment recordings for ECG signals of the T2DM patients are more informative for diabetes microvascular complications. Although screening techniques are available, they are generally expensive. Detection of the microvascular complications using ECG recording during an effective time frame can help to make the screening affordable for poor patients.

Original language	British English
Title of host publication	2020 IEEE Region 10 Symposium, TENSYMP 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1282-1285
Number of pages	4
ISBN (Electronic)	9781728173665
DOIs	https://doi.org/10.1109/TENSYMP50017.2020.9231020
State	Published - 5 Jun 2020
Event	2020 IEEE Region 10 Symposium, TENSYMP 2020 - Virtual, Dhaka, Bangladesh Duration: 5 Jun 2020 → 7 Jun 2020

Publication series

Name	2020 IEEE Region 10 Symposium, TENSYMP 2020

Conference

Conference	2020 IEEE Region 10 Symposium, TENSYMP 2020
Country/Territory	Bangladesh
City	Virtual, Dhaka
Period	5/06/20 → 7/06/20

Keywords

24-hour holter ECG
diabetic mellitus
heart rate variability
microvascular complications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TENSYMP50017.2020.9231020

Cite this

Ahmed, T., Mukit, M. A., Ahmed, K. I., Mostafa, R., Parveen, S., & Khandoker, A. H. (2020). Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus. In 2020 IEEE Region 10 Symposium, TENSYMP 2020 (pp. 1282-1285). Article 9231020 (2020 IEEE Region 10 Symposium, TENSYMP 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENSYMP50017.2020.9231020

@inproceedings{402920008b3d4f0d89fd0a1ce40d74ec,

title = "Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus",

abstract = "Microvascular complications are one of the roots of mortality among type II diabetes mellitus (T2DM) patients. The aim of the study is to determine the significance of the sleep segment from a 24-hour Holter ECG recording and to show the variation between the 24-hour signal and the sleep-segmented signal among the T2DM patients in Bangladesh using electrocardiographic variables related to microvascular complications. ECG data recording has been obtained from 103 T2DM patients (≥40 years old) and studied using time and frequency domain analysis of heart rate variability (HRV). The significance has been set at less than 0.05. The result reveals that the sleep segment recordings for ECG signals of the T2DM patients are more informative for diabetes microvascular complications. Although screening techniques are available, they are generally expensive. Detection of the microvascular complications using ECG recording during an effective time frame can help to make the screening affordable for poor patients.",

keywords = "24-hour holter ECG, diabetic mellitus, heart rate variability, microvascular complications",

author = "Tuba Ahmed and Mukit, \{Mohammad Abdul\} and Ahmed, \{Khawza I.\} and Raqibul Mostafa and Sharmin Parveen and Khandoker, \{Ahsan Habib\}",

note = "Funding Information: ACKNOWLEDGMENT We would like to thank the Bangladesh University of Health Science (BUHS) Hospital for their cooperation and major contribution in the collection of data along with all the patients who came forward and willingly participated in the cause. The ethical committee of BUHS provided the ethical approval for the data collection from their patients (Memo Number: BUHS/BIO/EA/18/01). In addition, the Institute for Advanced Research (IAR) of United International University (UIU) supported this research financially (Grant Number: UIU-RG-162013). Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Region 10 Symposium, TENSYMP 2020 ; Conference date: 05-06-2020 Through 07-06-2020",

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doi = "10.1109/TENSYMP50017.2020.9231020",

language = "British English",

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Ahmed, T, Mukit, MA, Ahmed, KI, Mostafa, R, Parveen, S & Khandoker, AH 2020, Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus. in 2020 IEEE Region 10 Symposium, TENSYMP 2020., 9231020, 2020 IEEE Region 10 Symposium, TENSYMP 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1282-1285, 2020 IEEE Region 10 Symposium, TENSYMP 2020, Virtual, Dhaka, Bangladesh, 5/06/20. https://doi.org/10.1109/TENSYMP50017.2020.9231020

Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus. / Ahmed, Tuba; Mukit, Mohammad Abdul; Ahmed, Khawza I. et al.
2020 IEEE Region 10 Symposium, TENSYMP 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1282-1285 9231020 (2020 IEEE Region 10 Symposium, TENSYMP 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus

AU - Ahmed, Tuba

AU - Mukit, Mohammad Abdul

AU - Ahmed, Khawza I.

AU - Mostafa, Raqibul

AU - Parveen, Sharmin

AU - Khandoker, Ahsan Habib

N1 - Funding Information: ACKNOWLEDGMENT We would like to thank the Bangladesh University of Health Science (BUHS) Hospital for their cooperation and major contribution in the collection of data along with all the patients who came forward and willingly participated in the cause. The ethical committee of BUHS provided the ethical approval for the data collection from their patients (Memo Number: BUHS/BIO/EA/18/01). In addition, the Institute for Advanced Research (IAR) of United International University (UIU) supported this research financially (Grant Number: UIU-RG-162013). Publisher Copyright: © 2020 IEEE.

PY - 2020/6/5

Y1 - 2020/6/5

N2 - Microvascular complications are one of the roots of mortality among type II diabetes mellitus (T2DM) patients. The aim of the study is to determine the significance of the sleep segment from a 24-hour Holter ECG recording and to show the variation between the 24-hour signal and the sleep-segmented signal among the T2DM patients in Bangladesh using electrocardiographic variables related to microvascular complications. ECG data recording has been obtained from 103 T2DM patients (≥40 years old) and studied using time and frequency domain analysis of heart rate variability (HRV). The significance has been set at less than 0.05. The result reveals that the sleep segment recordings for ECG signals of the T2DM patients are more informative for diabetes microvascular complications. Although screening techniques are available, they are generally expensive. Detection of the microvascular complications using ECG recording during an effective time frame can help to make the screening affordable for poor patients.

AB - Microvascular complications are one of the roots of mortality among type II diabetes mellitus (T2DM) patients. The aim of the study is to determine the significance of the sleep segment from a 24-hour Holter ECG recording and to show the variation between the 24-hour signal and the sleep-segmented signal among the T2DM patients in Bangladesh using electrocardiographic variables related to microvascular complications. ECG data recording has been obtained from 103 T2DM patients (≥40 years old) and studied using time and frequency domain analysis of heart rate variability (HRV). The significance has been set at less than 0.05. The result reveals that the sleep segment recordings for ECG signals of the T2DM patients are more informative for diabetes microvascular complications. Although screening techniques are available, they are generally expensive. Detection of the microvascular complications using ECG recording during an effective time frame can help to make the screening affordable for poor patients.

KW - 24-hour holter ECG

KW - diabetic mellitus

KW - heart rate variability

KW - microvascular complications

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DO - 10.1109/TENSYMP50017.2020.9231020

M3 - Conference contribution

AN - SCOPUS:85096423336

T3 - 2020 IEEE Region 10 Symposium, TENSYMP 2020

SP - 1282

EP - 1285

BT - 2020 IEEE Region 10 Symposium, TENSYMP 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Region 10 Symposium, TENSYMP 2020

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ER -

Ahmed T, Mukit MA, Ahmed KI, Mostafa R, Parveen S, Khandoker AH. Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus. In 2020 IEEE Region 10 Symposium, TENSYMP 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1282-1285. 9231020. (2020 IEEE Region 10 Symposium, TENSYMP 2020). doi: 10.1109/TENSYMP50017.2020.9231020

Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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