Sleep Apnea Detection From Heart Rate Variability Data Using A DWPT Based Technique

被引：0

作者：

Ali, Syeda Quratulain ^{[1
]}

Jeoti, Varun ^{[1
]}

Khalid, Sohail ^{[1
]}

机构：

[1] Univ Teknol PETRONAS, Dept Elect & Elect Engn, Bandar Seri Iskandar 31750, Tronoh, Malaysia

来源：

2012 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS), VOLS 1-2 | 2012年

关键词：

ELECTROCARDIOGRAM; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sleep Apnea is a clinical condition related to problematic breathing during the course of sleep. Nocturnal polysomnography (NPSG) is the traditional method to detect sleep apnea but it is costly and inconvenient. Research directions are turning towards signal processing based sleep apnea detection. This study focuses on a simple, fast and memory efficient method for detection of sleep apnea using Electrocardiogram (ECG) data from MIT online database. Discrete wavelet packet transform (DWPT) has been employed on RRI intervals (RRI), in band of interest (FOI) to highlight the frequency pattern differences in normal and abnormal cases. Cases based classification is 100% accurate.

引用

页码：622 / 626

页数：5

共 50 条

[21] Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability
Martin-Montero, Adrian
Armanc-Julian, Pablo
Gil, Eduardo
Kheirandish-Gozal, Leila
Alvarez, Daniel
Lazaro, Jesus
Bailon, Raquel
Gozal, David
Laguna, Pablo
Hornero, Roberto
Gutierrez-Tobal, Gonzalo C.
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 154
[22] Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea
Khandoker, Ahsan H.
Karmakar, Chandan K.
Palaniswami, Marimuthu
MEDICAL ENGINEERING & PHYSICS, 2011, 33 (02) : 204 - 209
[23] Development of a Sleep Apnea Detection Algorithm Using Long Short-Term Memory and Heart Rate Variability
Iwasaki, Ayako
Nakayama, Chikao
Fujiwara, Koichi
Sumi, Yukiyoshi
Matsuo, Masahiro
Kano, Manabu
Kadotani, Hiroshi
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 3964 - 3967
[24] Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge
Padovano, Daniele
Martinez-Rodrigo, Arturo
Pastor, Jose M.
Rieta, Jose J.
Alcaraz, Raul
2020 COMPUTING IN CARDIOLOGY, 2020,
[25] HEART RATE VARIABILITY AND DEEP LEARNING ANALYSIS OF OBSTRUCTIVE SLEEP APNEA USING ECG FROM POLYSOMNOGRAPHY
Kim, Kiyong
Yang, Tae-Won
Kim, Ji Yoon
Choi, Woo Ri
Kwon, Kyung Won
Lee, So Young
Kim, Seung Hwan
Jeon, Byeong Gu
Ko, Nak Gyeong
Kim, Young-Soo
Kwon, Oh-Young
Kim, Do-Hyung
SLEEP, 2024, 47
[26] Heart Rate Dynamics in Patients with Obstructive Sleep Apnea: Heart Rate Variability and Entropy
Zhang, Lulu
Fu, Mingyu
Xu, Fengguo
Hou, Fengzhen
Ma, Yan
ENTROPY, 2019, 21 (10)
[27] Obstructive sleep apnea as a predictor of reduced heart rate variability
Urbanik, Dominika
Gac, Pawel
Martynowicz, Helena
Poreba, Malgorzata
Podgorski, Maciej
Negrusz-Kawecka, Marta
Mazur, Grzegorz
Sobieszczanska, Malgorzata
Poreba, Rafal
SLEEP MEDICINE, 2019, 54 : 8 - 15
[28] Heart rate variability in pulmonary hypertension with and without sleep apnea
Carvalho, Carolina Gonzaga
Bresler, Richard
Zhi, Ying Xuan
Alshaer, Hisham
Granton, John T.
Ryan, Clodagh M.
HELIYON, 2019, 5 (07)
[29] Heart rate variability spectrum characteristics in children with sleep apnea
Adrián Martín-Montero
Gonzalo C. Gutiérrez-Tobal
Leila Kheirandish-Gozal
Jorge Jiménez-García
Daniel Álvarez
Félix del Campo
David Gozal
Roberto Hornero
Pediatric Research, 2021, 89 : 1771 - 1779
[30] The Different Facets of Heart Rate Variability in Obstructive Sleep Apnea
Qin, Hua
Steenbergen, Nicolas
Glos, Martin
Wessel, Niels
Kraemer, Jan F.
Vaquerizo-Villar, Fernando
Penzel, Thomas
FRONTIERS IN PSYCHIATRY, 2021, 12

← 1 2 3 4 5 →