Apnea Detection Based on Hidden Markov Model Kernel

被引：0

作者：

Travieso, Carlos M. ^{[1
]}

Alonso, Jesus B. ^{[1
]}

Ticay-Rivas, Jaime R. ^{[1
]}

del Pozo-Banos, Marcos ^{[1
]}

机构：

[1] Univ Las Palmas Gran Canaria, Inst Technol Dev & Innovat Commun IDETIC, Signals & Commun Dept, Las Palmas Gran Canaria, Spain

来源：

ADVANCES IN NONLINEAR SPEECH PROCESSING | 2011年 / 7015卷

关键词：

Apnea Detection; Hidden Markov Model; Kernel Building; Pattern Recognition; Non-linear Processing; SLEEP-APNEA; ELECTROCARDIOGRAM;

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：

This work presents a new system to diagnose the syndrome of obstructive sleep apnea (OSA) that includes a specific block for the removal of Electrocardiogram (ECG) artifacts and the R wave detection. The system is modeled by ECG cepstral coefficients. The final decision is done with two different approaches. The first one is based on Hidden Markov Model (HMM), as classifier. On the other hand, another classification system is based on Support Vector Machines, being the parameterization based on the transformation of HMM by a kernel. Our results reached up to 98.67%.

引用

页码：71 / 79

页数：9

共 50 条

[41] Fault Detection and Diagnosis of Induction Motors Based on Hidden Markov Model
Soualhi, A.
Clerc, G.
Razik, H.
Lebaroud, A.
[J]. 2012 XXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2012, : 1693 - 1699
[42] Detection of baleen whale species using kernel dynamic mode decomposition-based feature extraction with a hidden Markov model
Usman, A. M.
Versfeld, D. J. J.
[J]. ECOLOGICAL INFORMATICS, 2022, 71
[43] Multiuser Detection Using Hidden Markov Model
Chen, Fangjiong
Kwong, Sam
[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2009, 58 (01) : 107 - 115
[44] Workload hidden Markov model for anomaly detection
Garcia, Juan Manuel
Navarrete, Tomas
Orozco, Carlos
[J]. SECRYPT 2006: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY, 2006, : 56 - +
[45] A Hidden Markov Model for Vehicle Detection and Counting
Miller, Nicholas
Thomas, Mohan A.
Eichel, Justin A.
Mishra, Akshaya
[J]. 2015 12TH CONFERENCE ON COMPUTER AND ROBOT VISION CRV 2015, 2015, : 269 - 276
[46] Pulsar Glitch Detection with a Hidden Markov Model
Melatos, A.
Dunn, L. M.
Suvorova, S.
Moran, W.
Evans, R. J.
[J]. ASTROPHYSICAL JOURNAL, 2020, 896 (01):
[47] Hidden Markov Model Combined with Kernel Principal Component Analysis for Nonlinear Multimode Process Fault Detection
Peng, Peng
Zhao, Jiaxin
Zhang, Yi
Zhang, Heming
[J]. 2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2019, : 1586 - 1591
[48] Detection of hidden Markov model transient signals
Chen, B
Willett, P
[J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2000, 36 (04) : 1253 - 1268
[49] Detection of Apnea Bradycardia from ECG Signals of Preterm Infants Using Layered Hidden Markov Model
Sadoughi, Azadeh
Shamsollahi, Mohammad Bagher
Fatemizadeh, Emad
Beuchee, Alain
Hernandez, Alfredo, I
Ghahjaverestan, Nasim Montazeri
[J]. ANNALS OF BIOMEDICAL ENGINEERING, 2021, 49 (09) : 2159 - 2169
[50] Detection of Apnea Bradycardia from ECG Signals of Preterm Infants Using Layered Hidden Markov Model
Azadeh Sadoughi
Mohammad Bagher Shamsollahi
Emad Fatemizadeh
Alain Beuchée
Alfredo I. Hernández
Nasim Montazeri Ghahjaverestan
[J]. Annals of Biomedical Engineering, 2021, 49 : 2159 - 2169

← 1 2 3 4 5 →