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Linear and nonlinear analyses for detection of sudden cardiac death (SCD) using ECG and HRV signals

Elias Ebrahimzadeh, Farahnaz Fayaz, Fereshteh Ahmadi, Mohammadjavad Rahimi Dolatabad
2018 Trends in Research  
In this paper, we investigated a way to predict sudden cardiac death. To do this, we first extract the HRV signal from ECG signal and elicit informative nonlinear and time-frequency features.  ...  Ebrahimzadeh E (2018) Linear and nonlinear analyses for detection of sudden cardiac death (SCD) using ECG and HRV signals Volume 1(1): 1-2  ...  In this research, the heart rate variability (HRV) signal is used to study sudden cardiac death (SCD).  ... 
doi:10.15761/tr.1000105 fatcat:fgit4zjgbvha3h4yccjxcdhjim

A Novel Approach to Predict Sudden Cardiac Death (SCD) Using Nonlinear and Time-Frequency Analyses from HRV Signals

Elias Ebrahimzadeh, Mohammad Pooyan, Ahmad Bijar, Alena Talkachova
2014 PLoS ONE  
We need to propose suitable ways to assist doctors to predict sudden cardiac death with a high level of accuracy.  ...  Investigations show that millions of people all around the world die as the result of sudden cardiac death (SCD).  ...  In this article, the common Linear and Time-Frequency domain features, which have been extracted from heart rate variability (HRV) signal, are used to detect and predict sudden cardiac death (SCD).  ... 
doi:10.1371/journal.pone.0081896 pmid:24504331 pmcid:PMC3913584 fatcat:egq7mycfrzeqbhrjoucp7pcwfe

Sudden Cardiac Death Caused by Coronary Heart Disease

R. J. Myerburg, M. J. Junttila
2012 Circulation  
A n association between the anatomic pathology and pathophysiology of coronary atherosclerosis and sudden cardiac death (SCD) has been long recognized.  ...  from extensive clinical, investigative, and interventional advances, important challenges remain for the prediction and prevention of SCD caused by coronary heart disease (CHD). 3  ...  , heart rate variability, and QT dispersion.  ... 
doi:10.1161/circulationaha.111.023846 pmid:22371442 fatcat:33w5xn7jg5ahfpkr5yszpogzhu

A Review of the Methods for Sudden Cardiac Death Detection: A Guide for Emergency Physicians

Mohammad Karimi Moridani, Shahrzad Marjani
2020 International Journal of Online and Biomedical Engineering (iJOE)  
In the field of SCD prediction, various studies have addressed the processing of the electrocardiogram (ECG) signal as well as the heart rate variability (HRV) signal in different domains, including time  ...  <p class="Abstract">Sudden cardiac death (SCD) is an unexpected death of a person with or without knowing cardiac causes are often occurring in less than an hour after the incidence of symptoms.  ...  In recent years, extensive studies have been conducted on SCD diagnosis based on the electrocardiogram (ECG) signal or the heart rate variability (HRV), which has been done by feature extraction in linear  ... 
doi:10.3991/ijoe.v16i09.14485 fatcat:puuk3neem5abnnv42unen4gp5y

Early detection of sudden cardiac death using Poincaré plots and recurrence plot-based features from HRV signals

Vahid HOUSHYARIFAR, Mehdi Chehel AMIRANI
2017 Turkish Journal of Electrical Engineering and Computer Sciences  
In this paper we present a method to predict sudden cardiac death (SCD) based on the heart rate variability (HRV) signal and recurrence plots and Poincaré plot-extracted features.  ...  We use two databases, the MIT/BIH Sudden Cardiac Death Database and PhysioBank Normal Sinus Rhythm Database. We manage to predict SCD occurrence 5 min before the SCD with accuracy of over 92%.  ...  Introduction Abnormality in heart rhythm (arrhythmia) can cause sudden cardiac death (SCD) [1] [2] [3] . SCD causes thousands of adult deaths in the United States each year [4, 5] .  ... 
doi:10.3906/elk-1509-149 fatcat:jsgqe6ukmzgovnvjgmymr3duwa

A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection

Olivia Vargas-Lopez, Juan P. Amezquita-Sanchez, J. Jesus De-Santiago-Perez, Jesus R. Rivera-Guillen, Martin Valtierra-Rodriguez, Manuel Toledano-Ayala, Carlos A. Perez-Ramirez
2019 Sensors  
Heart diseases are among the most common death causes in the population. Particularly, sudden cardiac death (SCD) is the cause of 10% of the deaths around the world.  ...  It is based on the adroit combination of the empirical mode decomposition, nonlinear measurements, such as the Higuchi fractal and permutation entropy, and a neural network.  ...  Table 1 . 1 Information about sudden cardiac death (SCD) and normal databases.  ... 
doi:10.3390/s20010009 pmid:31861320 pmcid:PMC6983035 fatcat:vrwcexjhmbd5rg2zry6wexqlri

T‐Wave Morphology Restitution Predicts Sudden Cardiac Death in Patients With Chronic Heart Failure

Julia Ramírez, Michele Orini, Ana Mincholé, Violeta Monasterio, Iwona Cygankiewicz, Antonio Bayés de Luna, Juan Pablo Martínez, Esther Pueyo, Pablo Laguna
2017 Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease  
Background--Patients with chronic heart failure are at high risk of sudden cardiac death (SCD).  ...  The aim of this study is to propose an electrocardiogram (ECG)-based index characterizing T-wave morphology restitution (TMR), and to assess its association with SCD risk in a population of chronic heart  ...  sudden cardiac death risk prediction in chronic heart failure patients. corresponding RRIs.  ... 
doi:10.1161/jaha.116.005310 pmid:28526702 pmcid:PMC5524085 fatcat:fn5lr757o5ai5i7pvbs5xpypru

Prediction of Sudden Cardiac Death Risk with a Support Vector Machine Based on Heart Rate Variability and Heartprint Indices

Marisol Martinez-Alanis, Erik Bojorges-Valdez, Niels Wessel, Claudia Lerma
2020 Sensors  
Most methods for sudden cardiac death (SCD) prediction require long-term (24 h) electrocardiogram recordings to measure heart rate variability (HRV) indices or premature ventricular complex indices (with  ...  The developed SVM may be useful for preventing imminent SCD through early warning based on electrocardiogram (ECG) or heart rate monitoring.  ...  Introduction Sudden cardiac death (SCD) refers to death from a cardiac cause within 1 h of symptom onset or during sleep in a patient who was previously stable [1] .  ... 
doi:10.3390/s20195483 pmid:32992675 pmcid:PMC7582608 fatcat:eoarsb6z3rh4npp3tpeff26q2i

ECG-based Detection and Prediction Models of Sudden Cardiac Death: Current Performances and New Perspectives on Signal Processing Techniques

Mohd Zubir Suboh, Rosmina Jaafar, Nazrul Anuar Nayan, Noor Hasmiza Harun
2019 International Journal of Online and Biomedical Engineering (iJOE)  
Heart disease remains the main leading cause of death globally and around 50% of the patients died due to sudden cardiac death (SCD).  ...  Heart rate variability (HRV) is found as an important SCD predictor as it is widely used in detecting or predicting SCD.  ...  Acharya et al. even introduced sudden cardiac death index (SCDI) to classify healthy and SCD subjects using a single number value based on selected non-linear features.  ... 
doi:10.3991/ijoe.v15i15.11688 fatcat:fuyxine5u5b3rj6kh5htdkomxy

An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by using Machine Learning Approach on Measurable Arrhythmic Risk Markers

Dakun Lai, Yifei Zhang, Xinshu Zhang, Ye Su, Md Belal Bin Heyat
2019 IEEE Access  
INDEX TERMS Arrhythmic risk markers, electrocardiogram (ECG), machine learning, sudden cardiac death (SCD), SCD prediction.  ...  Early risk identification of an unexpected sudden cardiac death (SCD) in a person who is suffering malignant ventricular arrhythmias is highly significant for timely intervention and increasing the survival  ...  ACKNOWLEDGMENT The authors would like to acknowledge Biomedical Imaging and Electrophysiology Laboratory (BMI-EP), University of Electronic Science and Technology of China for providing computational and  ... 
doi:10.1109/access.2019.2925847 fatcat:ape7fg2mqzgwxcm7p3gc22bnde

Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals

Manhong Shi, Hongxin He, Wanchen Geng, Rongrong Wu, Chaoying Zhan, Yanwen Jin, Fei Zhu, Shumin Ren, Bairong Shen
2020 Frontiers in Physiology  
Sudden cardiac death (SCD), which can deprive a person of life within minutes, is a destructive heart abnormality.  ...  seven successive intervals of 2 min) heart rate variability (HRV) in signals from a normal population and subjects at risk of SCD.  ...  Sudden cardiac death (SCD), which can deprive a person of life within minutes, is a destructive heart abnormality.  ... 
doi:10.3389/fphys.2020.00118 pmid:32158399 pmcid:PMC7052183 fatcat:u4yiikutdjfjfmhpryxtj2yzye

Incidence of sudden cardiac death, myocardial infarction and far- and near-transyears

F. Halberg, G. Cornélissen, K. Otsuka, B. Fiser, G. Mitsutake, H.W. Wendt, P. Johnson, M. Gigolashvili, T. Breus, R. Sonkowsky, S.M. Chibisov, G. Katinas (+5 others)
2005 Biomedicine and Pharmacotherapy  
We analyzed cycles with periods, τ, in the range of 0.8-2.0 years, characterizing, mostly during 1999-2003, the incidence of sudden cardiac death (SCD), according to the International Classification of  ...  In the τ range examined, only yearly components could be documented in time series from North Carolina, USA; Tbilisi, Georgia; and Hong Kong, in the latter two locations based on relatively short time  ...  A possible resonance with occasional frequency trapping between the multiseptans of the local geomagnetic activity index, K and "sudden cardiac death" is suggested by the more prominently expressed (darker  ... 
doi:10.1016/s0753-3322(05)80039-3 pmid:16275502 fatcat:txw5vwg76bh2npigmievzkhu7y

Development of a Novel Risk Prediction Model for Sudden Cardiac Death in Childhood Hypertrophic Cardiomyopathy (HCM Risk-Kids)

Gabrielle Norrish, Tao Ding, Ella Field, Lidia Ziólkowska, Iacopo Olivotto, Giuseppe Limongelli, Aristides Anastasakis, Robert Weintraub, Elena Biagini, Luca Ragni, Terence Prendiville, Sophie Duignan (+37 others)
2019 JAMA cardiology  
Sudden cardiac death (SCD) is the most common mode of death in childhood hypertrophic cardiomyopathy (HCM), but there is no validated algorithm to identify those at highest risk.  ...  The pediatric model was developed using preselected variables to predict the risk of SCD.  ...  Association; SCD, sudden cardiac death.  ... 
doi:10.1001/jamacardio.2019.2861 pmid:31411652 pmcid:PMC6694401 fatcat:ljyzqhffizfendu7yreugmt6xa

Inverted U-Shaped Relation Between the Risk of Sudden Cardiac Death and Maximal Left Ventricular Wall Thickness in Hypertrophic Cardiomyopathy

Constantinos O'Mahony, Fatima Jichi, Lorenzo Monserrat, Martin Ortiz-Genga, Aristides Anastasakis, Claudio Rapezzi, Elena Biagini, Juan Ramon Gimeno, Giuseppe Limongelli, William J. McKenna, Rumana Z. Omar, Perry M. Elliott
2016 Circulation: Arrhythmia and Electrophysiology  
The relation of SCD risk and MWT was Background-Hypertrophic cardiomyopathy is associated with sudden cardiac death (SCD).  ...  cardiac death (SCD) 2 and left ventricular maximal wall thickness (MWT) is one of several clinical features used to guide prophylactic implantable cardioverter defibrillator (ICD) therapy. 1-3 However  ...  of sudden cardiac death (SCD) to maximal left ventricular wall thickness.  ... 
doi:10.1161/circep.115.003818 pmid:27217341 fatcat:ruvq42dltfaapnh46ox5sy2x24

Sudden cardiac death: Etiologies, pathogenesis, and management

Mark S. Kremers, William H. Black, Peter J. Wells
1989 Disease-a-month  
Gomes JA, Winters SL, Steward D, et al: A new noninvasive index to predict sustained ventricular tachycardia and sudden death in the first year after myocardial infarction: Based on signal-averaged electrocardiogram  ...  Incidence of Sudden Cardiac Death in Long-term B-Blockers Trials After Myocardial Infarction SCD* SCD Rate (%) No. of Time Study 6-Blocker Patients Frame (hr) Treatment Placebo Reduction Norwegian Timolol  ... 
doi:10.1016/0011-5029(89)90005-9 pmid:2656164 fatcat:mnjivsat4vcthd5obehbh7wn5u
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