20.10.7 Heart Analysis, ECG, Electrocardiogram, Other Electrical Signals

Chapter Contents (Back)
Electrocardiogram. ECG. See also Heart, Cardiac, Echocardiography, Ultrasound.

Birman, K.P.,
Rule-Based Learning for More Accurate ECG Analysis,
PAMI(4), No. 4, July 1982, pp. 369-380. BibRef 8207

Skordalakis, E.,
Syntactic ECG processing: A review,
PR(19), No. 4, 1986, pp. 305-313.
WWW Link. 0309
BibRef

Trahanias, P., Skordalakis, E.,
An efficient sequential clustering method,
PR(22), No. 4, 1989, pp. 449-453.
WWW Link. 0309
BibRef

Trahanias, P., and Skordalakis, E.,
Syntactic Pattern Recognition of the ECG,
PAMI(12), No. 7, July 1990, pp. 648-657.
IEEE DOI BibRef 9007

Pietka, E.[Ewa],
Feature extraction in computerized approach to the ECG analysis,
PR(24), No. 2, 1991, pp. 139-146.
WWW Link. 0401
BibRef

Koski, A., Juhola, M., Meriste, M.,
Syntactic Recognition of ECG Signals by Attributed Finite Automata,
PR(28), No. 12, December 1995, pp. 1927-1940.
WWW Link. BibRef 9512

Koski, A.,
Primitive Coding of Structural ECG Features,
PRL(17), No. 11, September 16 1996, pp. 1215-1222. 9611
BibRef

Kundu, M.[Mahantapas], Nasipuri, M.[Mita], Basu, D.K.[Dipak Kumar],
Knowledge-based ECG interpretation: a critical review,
PR(33), No. 3, March 2000, pp. 351-373.
WWW Link. 0001
BibRef

Kachelriess, M., Ulzheimer, S., Kalender, W.A.,
ECG-correlated imaging of the heart with subsecond multislice spiral CT,
MedImg(19), No. 9, September 2000, pp. 888-901.
IEEE Top Reference. 0110
BibRef

Israel, S.A.[Steven A.], Irvine, J.M.[John M.], Cheng, A.[Andrew], Wiederhold, M.D.[Mark D.], Wiederhold, B.K.[Brenda K.],
ECG to identify individuals,
PR(38), No. 1, January 2005, pp. 133-142.
WWW Link. 0410
BibRef

Güler, I.[Inan], Übeyli, E.D.[Elif Derya],
ECG beat classifier designed by combined neural network model,
PR(38), No. 2, February 2005, pp. 199-208.
WWW Link. 0411
See also recurrent neural network classifier for Doppler ultrasound blood flow signals, A. See also Features extracted by eigenvector methods for detecting variability of EEG signals. BibRef

Engin, M.[Mehmet],
ECG beat classification using neuro-fuzzy network,
PRL(25), No. 15, November 2004, pp. 1715-1722.
WWW Link. 0411
BibRef

Froese, T.[Tom], Hadjiloucas, S.[Sillas], Galvăo, R.K.H.[Roberto K.H.], Becerra, V.M.[Victor M.], Coelho, C.J.[Clarimar José],
Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms,
PRL(27), No. 5, 1 April 2006, pp. 393-407.
WWW Link. 0604
Discrete wavelet transform; Neural networks; Genetic algorithms; Linear discriminant analysis BibRef

Zandi, A.S.[Ali Shahidi], Moradi, M.H.[Mohammad Hassan],
Quantitative evaluation of a wavelet-based method in ventricular late potential detection,
PR(39), No. 7, July 2006, pp. 1369-1379.
WWW Link. 0606
Ventricular late potentials (VLPs); High-resolution ECG (HRECG); Wavelet transform (WT); Artificial neural network (ANN); Principal component analysis (PCA) BibRef

Liu, Z., Liu, C., He, B.,
Noninvasive Reconstruction of Three-Dimensional Ventricular Activation Sequence From the Inverse Solution of Distributed Equivalent Current Density,
MedImg(25), No. 10, October 2006, pp. 1307-1318.
IEEE DOI 0609
BibRef

Benzid, R., Marir, F., Bouguechal, N.E.,
Electrocardiogram Compression Method Based on the Adaptive Wavelet Coefficients Quantization Combined to a Modified Two-Role Encoder,
SPLetters(14), No. 6, June 2007, pp. 373-376.
IEEE DOI 0706
BibRef

Yu, S.N.[Sung-Nien], Chen, Y.H.[Ying-Hsiang],
Electrocardiogram beat classification based on wavelet transformation and probabilistic neural network,
PRL(28), No. 10, 15 July 2007, pp. 1142-1150.
WWW Link. 0706
Electrocardiogram; RR interval; Discrete wavelet transform; Probabilistic neural network; Pattern classification BibRef

Kara, S.[Sadik], Okandan, M.[Mustafa],
Atrial fibrillation classification with artificial neural networks,
PR(40), No. 11, November 2007, pp. 2967-2973.
WWW Link. 0707
Electrocardiography; Atrial fibrillation; Artificial neural network; Wavelet; Welch method; Power spectral density BibRef

Boucheham, B.[Bachir],
Matching of quasi-periodic time series patterns by exchange of block-sorting signatures,
PRL(29), No. 4, 1 March 2008, pp. 501-514.
WWW Link. 0711
Pattern matching; Time series; Block-sorting signature; Shape exchange; DTW ECG application BibRef

Boucheham, B.[Bachir],
Reduced data similarity-based matching for time series patterns alignment,
PRL(31), No. 7, 1 May 2010, pp. 629-638.
Elsevier DOI 1004
Time series similarity; Pattern matching; Data reduction; Datamining; Data retrieval; Person identification using ECG BibRef

Noponen, K.[Kai], Kortelainen, J.[Jukka], Seppanen, T.[Tapio],
Invariant trajectory classification of dynamical systems with a case study on ECG,
PR(42), No. 9, September 2009, pp. 1832-1844.
Elsevier DOI 0905
Eigenvalues and eigenfunctions; Electrocardiography; Group theory; Least squares methods; Multidimensional signal processing; Nonlinear systems; Pattern recognition; Shape BibRef

Martis, R.J.[Roshan Joy], Chakraborty, C.[Chandan], Ray, A.K.[Ajoy K.],
A two-stage mechanism for registration and classification of ECG using Gaussian mixture model,
PR(42), No. 11, November 2009, pp. 2979-2988.
Elsevier DOI 0907
ECG; Pan Tompkins algorithm; Linear prediction; PCA; GMM; Chernoff bound; Bhattacharya bound BibRef

Camargo-Olivares, J.L., Martin-Clemente, R., Hornillo-Mellado, S., Elena, M.M., Roman, I.,
The Maternal Abdominal ECG as Input to MICA in the Fetal ECG Extraction Problem,
SPLetters(18), No. 3, March 2011, pp. 161-164.
IEEE DOI 1102
BibRef

Janssen, J.H., Bailenson, J.N., Ijsselsteijn, W.A., Westerink, J.H.D.M.,
Intimate Heartbeats: Opportunities for Affective Communication Technology,
AffCom(1), No. 2, July-December 2010, pp. 72-80.
IEEE DOI 1202
BibRef

Vadakkumpadan, F., Arevalo, H., Ceritoglu, C., Miller, M., Trayanova, N.,
Image-Based Estimation of Ventricular Fiber Orientations for Personalized Modeling of Cardiac Electrophysiology,
MedImg(31), No. 5, May 2012, pp. 1051-1060.
IEEE DOI 1202
BibRef

Lekadir, K., Hoogendoorn, C., Pereanez, M., Alba, X., Pashaei, A., Frangi, A.F.,
Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors,
MedImg(33), No. 4, April 2014, pp. 882-890.
IEEE DOI 1404
Diffusion tensor imaging BibRef

Liu, C., Eggen, M.D., Swingen, C.M., Iaizzo, P.A., He, B.,
Noninvasive Mapping of Transmural Potentials During Activation in Swine Hearts From Body Surface Electrocardiograms,
MedImg(31), No. 9, September 2012, pp. 1777-1785.
IEEE DOI 1209
BibRef

Kurihara, Y., Watanabe, K.,
Sleep-Stage Decision Algorithm by Using Heartbeat and Body-Movement Signals,
SMC-A(42), No. 6, November 2012, pp. 1450-1459.
IEEE DOI 1210
BibRef

Dong, J.[Jun], Zhang, J.W.[Jia-Wei], Zhu, H.H.[Hong-Hai], Wang, L.P.[Li-Ping], Liu, X.[Xia], Li, Z.J.[Zhen-Jiang],
A Remote Diagnosis Service Platform for Wearable ECG Monitors,
IEEE_Int_Sys(27), No. 6, November-December 2012, pp. 36-43.
IEEE DOI 1212
BibRef

Zhao, J., Butters, T.D., Zhang, H., Le Grice, I.J., Sands, G.B., Smaill, B.H.,
Image-Based Model of Atrial Anatomy and Electrical Activation: A Computational Platform for Investigating Atrial Arrhythmia,
MedImg(32), No. 1, January 2013, pp. 18-27.
IEEE DOI 1301
BibRef

Sharma, L.N., Dandapat, S., Mahanta, A.,
Kurtosis-based noise estimation and multiscale energy to denoise ECG signal,
SIViP(7), No. 2, March 2013, pp. 235-245.
WWW Link. 1303
BibRef

Zou, Y., Han, J., Weng, X.Z., Zeng, X.,
An Ultra-Low Power QRS Complex Detection Algorithm Based on Down-Sampling Wavelet Transform,
SPLetters(20), No. 5, May 2013, pp. 515-518.
IEEE DOI 1304
electrocardiogram related applications BibRef

Xu, G.[Gaowei], Han, J.[Jun], Zou, Y.[Yao], Zeng, X.Y.[Xiao-Yang],
A 1.5-D Multi-Channel EEG Compression Algorithm Based on NLSPIHT,
SPLetters(22), No. 8, August 2015, pp. 1118-1122.
IEEE DOI 1502
computational complexity BibRef

Nielsen, B.F., Lysaker, M., Grottum, P.,
Computing Ischemic Regions in the Heart With the Bidomain Model: First Steps Towards Validation,
MedImg(32), No. 6, 2013, pp. 1085-1096.
IEEE DOI 1307
bioelectric potentials; electrocardiography; ischemic region identification BibRef

Frank, J., Mannor, S., Pineau, J., Precup, D.,
Time Series Analysis Using Geometric Template Matching,
PAMI(35), No. 3, March 2013, pp. 740-754.
IEEE DOI 1303
wearable sensor, ECG data. BibRef

Ramakrishnan, A.G., Prathosh, A.P., Ananthapadmanabha, T.V.,
Threshold-Independent QRS Detection Using the Dynamic Plosion Index,
SPLetters(21), No. 5, May 2014, pp. 554-558.
IEEE DOI 1404
electrocardiography BibRef

Geselowitz, D.B.,
STARS: Electrocardiography,
PIEEE(102), No. 3, March 2014, pp. 399-404.
IEEE DOI 1404
Review of our past articles. Biomedical equipment; Cardiography; Electrocardiography; History BibRef

Erem, B., van Dam, P.M., Brooks, D.H.,
Identifying Model Inaccuracies and Solution Uncertainties in Noninvasive Activation-Based Imaging of Cardiac Excitation Using Convex Relaxation,
MedImg(33), No. 4, April 2014, pp. 902-912.
IEEE DOI 1404
Heart BibRef

Erem, B., Coll-Font, J., Martinez Orellana, R., St'ovicek, P., Brooks, D.H.,
Using Transmural Regularization and Dynamic Modeling for Noninvasive Cardiac Potential Imaging of Endocardial Pacing With Imprecise Thoracic Geometry,
MedImg(33), No. 3, March 2014, pp. 726-738.
IEEE DOI 1404
bioelectric potentials BibRef

Jung, S.J.[Sang-Joong], Shin, H.S.[Heung-Sub], Chung, W.Y.[Wan-Young],
Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel,
IET-ITS(8), No. 1, February 2014, pp. 43-50.
DOI Link 1406
Award, IET IT Premium. automotive components BibRef

Alajlan, N.[Naif], Bazi, Y.[Yakoub], Melgani, F.[Farid], Malek, S.[Salim], Bencherif, M.A.[Mohamed A.],
Detection of premature ventricular contraction arrhythmias in electrocardiogram signals with kernel methods,
SIViP(8), No. 5, July 2014, pp. 931-942.
Springer DOI 1407
BibRef

Baali, H., Akmeliawati, R., Salami, M.J.E., Khorshidtalab, A., Lim, E.,
ECG Parametric Modeling Based on Signal Dependent Orthogonal Transform,
SPLetters(21), No. 10, October 2014, pp. 1293-1297.
IEEE DOI 1407
Biological system modeling BibRef

Balouchestani, M.[Mohammadreza], Raahemifar, K.[Kaamran], Krishnan, S.[Sridhar],
Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory,
SIViP(9), No. 3, March 2015, pp. 527-533.
Springer DOI 1503
BibRef

Balouchestani, M.[Mohammadreza], Krishnan, S.[Sridhar],
Advanced K-means clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach,
SIViP(10), No. 1, January 2016, pp. 113-120.
WWW Link. 1601
BibRef

Dasilva, P.[Patrick], Fortier, P.[Paul], Sethares, K.[Kristen],
Electrocardiogram Classification Sensor System Supporting an Autonomous Mobile Cardiovascular Disease Detection Aid,
Sensors(184), No. 1, January 2015, pp. 92-100.
HTML Version. 1504
BibRef

Laguna, P., Cortes, J.P.M.[J.P. Martinez], Pueyo, E.,
Techniques for Ventricular Repolarization Instability Assessment From the ECG,
PIEEE(104), No. 2, February 2016, pp. 392-415.
IEEE DOI 1601
Arrhythmia BibRef

Porta, A., Faes, L.,
Wiener-Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience,
PIEEE(104), No. 2, February 2016, pp. 282-309.
IEEE DOI 1601
Biomedical signal processing BibRef

Afkhami, R.G.[Rashid Ghorbani], Azarnia, G.[Ghanbar], Tinati, M.A.[Mohammad Ali],
Cardiac arrhythmia classification using statistical and mixture modeling features of ECG signals,
PRL(70), No. 1, 2016, pp. 45-51.
Elsevier DOI 1602
Decision tree BibRef

Kang, S.J., Lee, S.Y., Cho, H.I., Park, H.,
ECG Authentication System Design Based on Signal Analysis in Mobile and Wearable Devices,
SPLetters(23), No. 6, June 2016, pp. 805-808.
IEEE DOI 1606
authorisation BibRef

Alessandrini, M., Heyde, B., Queirós, S., Cygan, S., Zontak, M., Somphone, O., Bernard, O., Sermesant, M., Delingette, H., Barbosa, D., de Craene, M., O'Donnell, M., d'Hooge, J.,
Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings,
MedImg(35), No. 8, August 2016, pp. 1915-1926.
IEEE DOI 1608
Optical imaging BibRef

Gravina, R., Fortino, G.,
Automatic Methods for the Detection of Accelerative Cardiac Defense Response,
AffCom(7), No. 3, July 2016, pp. 286-298.
IEEE DOI 1609
Acceleration BibRef

Rajankar, S.[Supriya], Talbar, S.[Sanjay],
A quality-on-demand electrocardiogram signal compression using modified set partitioning in hierarchical tree,
SIViP(10), No. 8, November 2016, pp. 1559-1566.
WWW Link. 1610
BibRef

Charvátová, H.[Hana], Procházka, A.[Aleš], Vaseghi, S.[Saeed], Vyšata, O.[Oldrich], Vališ, M.[Martin],
GPS-based analysis of physical activities using positioning and heart rate cycling data,
SIViP(11), No. 2, February 2017, pp. 251-258.
Springer DOI 1702
BibRef

Milchevski, A.[Aleksandar], Gusev, M.[Marjan],
Improved pipelined wavelet implementation for filtering ECG signals,
PRL(95), No. 1, 2017, pp. 85-90.
Elsevier DOI 1708
DSP BibRef

Dhamala, J., Arevalo, H.J., Sapp, J., Horacek, M., Wu, K.C., Trayanova, N.A., Wang, L.,
Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology,
MedImg(36), No. 9, September 2017, pp. 1966-1978.
IEEE DOI 1709
bioelectric phenomena, biological tissues, parameter estimation, 3D distributed tissue properties, Electrocardiography, cardiac electro-physiological model, BibRef

Amindavar, H., Naraghi, F.,
Wavelet-based variational Bayesian ECG denoising,
IPRIA17(7-12)
IEEE DOI 1712
Bayes methods, electrocardiography, expectation-maximisation algorithm, matrix algebra, Wavelet transform BibRef

Rodrigo, M., Climent, A.M., Liberos, A., Hernandez-Romero, I., Arenal, Á., Bermejo, J., Fernandez-Aviles, F., Atienza, F., Guillem, M.S.,
Solving Inaccuracies in Anatomical Models for Electrocardiographic Inverse Problem Resolution by Maximizing Reconstruction Quality,
MedImg(37), No. 3, March 2018, pp. 733-740.
IEEE DOI 1804
diseases, electrocardiography, image reconstruction, inverse problems, medical image processing, AF patients, inverse methods BibRef

Bassiouni, M.M.[Mahmoud M.], El-Dahshan, E.S.A.[El-Sayed A.], Khalefa, W.[Wael], Salem, A.M.[Abdelbadeeh M.],
Intelligent hybrid approaches for human ECG signals identification,
SIViP(12), No. 5, July 2018, pp. 941-949.
Springer DOI 1806
BibRef

Fu, D.P.[Da-Peng], Xia, Z.R.[Zhou-Rui], Gao, P.F.[Peng-Fei], Wang, H.Q.[Hai-Qing], Lin, J.P.[Jian-Ping], Sun, L.[Li],
ECG Delineation with Randomly Selected Wavelet Feature and Random Forest Classifier,
IEICE(E101-D), No. 8, August 2018, pp. 2082-2091.
WWW Link. 1808
BibRef

Pourbabaee, B., Roshtkhari, M.J., Khorasani, K.,
Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients,
SMCS(48), No. 12, December 2018, pp. 2095-2104.
IEEE DOI 1812
convolution, electrocardiography, feature extraction, feedforward neural nets, learning (artificial intelligence), paroxysmal atrial fibrillation (PAF) BibRef

Carrera, D.[Diego], Rossi, B.[Beatrice], Fragneto, P.[Pasqualina], Boracchi, G.[Giacomo],
Online anomaly detection for long-term ECG monitoring using wearable devices,
PR(88), 2019, pp. 482-492.
Elsevier DOI 1901
Online and long-term ECG monitoring, Anomaly detection, Domain adaptation, Wearable devices, Sparse representations BibRef

Xiong, F.[Fan], Chen, D.[Dongyi], Chen, Z.H.[Zheng-Hao], Dai, S.[Shumei],
Cancellation of motion artifacts in ambulatory ECG signals using TD-LMS adaptive filtering techniques,
JVCIR(58), 2019, pp. 606-618.
Elsevier DOI 1901
Adaptive cancellation algorithm, Motion artifacts, Auxiliary dry electrode, Cosine transform BibRef

Li, C., Lin, D., Lü, J., Hao, F.,
Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography,
MultMedMag(25), No. 4, October 2018, pp. 46-56.
IEEE DOI 1901
Encryption, Electrocardiography, Chaotic communication, Feature extraction, Logistics, * BibRef

Yang, T., Pogwizd, S.M., Walcott, G.P., Yu, L., He, B.,
Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain: Application to Mapping Reentrant Ventricular Tachycardia,
MedImg(38), No. 2, February 2019, pp. 525-539.
IEEE DOI 1902
Imaging, Electric potential, Myocardium, Frequency-domain analysis, Electrodes, Inverse problems, Image reconstruction, ventricular arrhythmia BibRef

Baloglu, U.B.[Ulas Baran], Talo, M.[Muhammed], Yildirim, O.[Ozal], Tan, R.S.[Ru San], Acharya, U.R.[U Rajendra],
Classification of myocardial infarction with multi-lead ECG signals and deep CNN,
PRL(122), 2019, pp. 23-30.
Elsevier DOI 1904
Myocardial infarction, Deep learning, Multi-lead ECG, Biomedical signal BibRef

Yousofvand, L.[Leila], Fathi, A.[Abdolhossein], Abdali-Mohammadi, F.[Fardin],
Person identification using ECG signal's symbolic representation and dynamic time warping adaptation,
SIViP(13), No. 2, March 2019, pp. 245-251.
Springer DOI 1904
BibRef

Goshvarpour, A.[Ateke], Goshvarpour, A.[Atefeh],
Gender and age classification using a new Poincare section-based feature set of ECG,
SIViP(13), No. 3, April 2019, pp. 531-539.
WWW Link. 1904
BibRef

Alawad, M., Wang, L.,
Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms,
MedImg(38), No. 5, May 2019, pp. 1172-1184.
IEEE DOI 1905
Data models, Electrocardiography, Adaptation models, Solid modeling, Torso, Real-time systems, domain adaptation BibRef

Dinakarrao, S.M.P.[Sai Manoj Pudukotai], Jantsch, A.[Axel], Shafique, M.[Muhammad],
Computer-aided Arrhythmia Diagnosis with Bio-signal Processing: A Survey of Trends and Techniques,
Surveys(51), No. 1, February 2019, pp. Article No 23.
DOI Link 1906
Signals obtained from a patient, i.e., bio-signals, are utilized to analyze the health of patient. One such bio-signal of paramount importance is the electrocardiogram (ECG) BibRef

Feli, M.[Mohammad], Abdali-Mohammadi, F.[Fardin],
A novel recursive backtracking genetic programming-based algorithm for 12-lead ECG compression,
SIViP(13), No. 5, July 2019, pp. 1029-1036.
WWW Link. 1906
BibRef

Srivastva, R.[Ranjeet], Singh, Y.N.[Yogendra Narain],
ECG analysis for human recognition using non-fiducial methods,
IET-Bio(8), No. 5, September 2019, pp. 295-305.
DOI Link 1908
BibRef

Zhang, Y.[Yue], Xiao, Z.B.[Zhi-Bo], Guo, Z.H.[Zhen-Hua], Wang, Z.L.[Zi-Liang],
ECG-based personal recognition using a convolutional neural network,
PRL(125), 2019, pp. 668-676.
Elsevier DOI 1909
Deep convolutional neural network, ECG, Feature representation, Personal recognition, Voting BibRef

Sharma, M.[Manish], Acharya, U.R.[U. Rajendra],
A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank,
PRL(125), 2019, pp. 235-240.
Elsevier DOI 1909
Coronary artery disease, ECG, Time-frequency concentration, Support Vector Machine (SVM) BibRef

Ghimire, S., Sapp, J.L., Horácek, B.M., Wang, L.,
Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error,
MedImg(38), No. 11, November 2019, pp. 2582-2595.
IEEE DOI 1911
Electrocardiography, Predictive models, Mathematical model, Data models, Heart, Inverse problems, Image reconstruction, graphical model BibRef

Tseng, C.H.[Chi-Ho], Lin, C.[Chen], Chang, H.C.[Hsiang-Chih], Liu, C.C.[Cyuan-Cin], Serafico, B.M.F.[Bess Ma F.], Wu, L.C.[Li-Ching], Lin, C.T.[Chih-Ting], Hsu, T.[Tien], Huang, C.Y.[Chun-Yao], Lo, M.T.[Men-Tzung],
Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening,
Computer(52), No. 11, November 2019, pp. 40-51.
IEEE DOI 1911
Electrocardiography, Monitoring, Cloud computing, Servers, Biomedical monitoring, Databases, Artificial intelligence BibRef

Kim, J.[Jeehoon], Sung, D.[Dongsuk], Koh, M.[MyungJun], Kim, J.[Jason], Park, K.S.[Kwang Suk],
Electrocardiogram authentication method robust to dynamic morphological conditions,
IET-Bio(8), No. 6, November 2019, pp. 401-410.
DOI Link 1911
BibRef

Abdalla, F.Y.O.[Fakheraldin Y. O.], Wu, L.[Longwen], Ullah, H.[Hikmat], Ren, G.H.[Guang-Hui], Noor, A.[Alam], Zhao, Y.[Yaqin],
ECG arrhythmia classification using artificial intelligence and nonlinear and nonstationary decomposition,
SIViP(13), No. 7, October 2019, pp. 1283-1291.
Springer DOI 1911
BibRef


Potse, M.[Mark], Vinet, A.[Alain], Gharaviri, A.[Ali], Pezzuto, S.[Simone],
Fibrillation Patterns Creep and Jump in a Detailed Three-Dimensional Model of the Human Atria,
FIMH19(131-138).
Springer DOI 1906
BibRef

Abidi, Y.[Yassine], Bouyssier, J.[Julien], Mahjoub, M.[Moncef], Zemzemi, N.[Nejib],
Maximal Conductaances Ionic Parameters Estimation in Cardiac Electrophysiology Multiscale Modelling,
FIMH19(73-84).
Springer DOI 1906
BibRef

Gérard, A.[Antoine], Collin, A.[Annabelle], Bureau, G.[Gautier], Moireau, P.[Philippe], Coudičre, Y.[Yves],
Model Assessment Through Data Assimilation of Realistic Data in Cardiac Electrophysiology,
FIMH19(121-130).
Springer DOI 1906
BibRef

Ayed, I.[Ibrahim], Cedilnik, N.[Nicolas], Gallinari, P.[Patrick], Sermesant, M.[Maxime],
EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions,
FIMH19(55-63).
Springer DOI 1906
BibRef

Tate, J.D.[Jess D.], Schuler, S.[Steffen], Dössel, O.[Olaf], MacLeod, R.S.[Robert S.], Oostendorp, T.F.[Thom F.],
Correcting Undersampled Cardiac Sources in Equivalent Double Layer Forward Simulations,
FIMH19(147-155).
Springer DOI 1906
BibRef

Schuler, S.[Steffen], Tate, J.D.[Jess D.], Oostendorp, T.F.[Thom F.], MacLeod, R.S.[Robert S.], Dössel, O.[Olaf],
Spatial Downsampling of Surface Sources in the Forward Problem of Electrocardiography,
FIMH19(29-36).
Springer DOI 1906
BibRef

Karoui, A.[Amel], Bendahmane, M.[Mostafa], Zemzemi, N.[Nejib],
A Spatial Adaptation of the Time Delay Neural Network for Solving ECGI Inverse Problem,
FIMH19(94-102).
Springer DOI 1906
BibRef

Rababah, A.[Ali], Finlay, D.[Dewar], Bear, L.[Laura], Bond, R.[Raymond], Rjoob, K.[Khaled], Mclaughlin, J.[James],
Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse Reconstruction of Cardiac Electrical Activity,
FIMH19(112-120).
Springer DOI 1906
BibRef

Bayraktar, F.[Furkan], Benson, A.P.[Alan P.], Holden, A.V.[Arun V.], Pervolaraki, E.[Eleftheria],
Transcriptomic Approaches to Modelling Long Term Changes in Human Cardiac Electrophysiology,
FIMH19(3-10).
Springer DOI 1906
BibRef

Macwan, R., Bobbia, S., Benezeth, Y., Dubois, J., Mansouri, A.,
Periodic Variance Maximization Using Generalized Eigenvalue Decomposition Applied to Remote Photoplethysmography Estimation,
Physiological18(1413-14138)
IEEE DOI 1812
Eigenvalues and eigenfunctions, Electrocardiography, Photoplethysmography, Optimization, Covariance matrices, Databases BibRef

He, W., Ye, Y., Li, Y., Xu, H., Lu, L., Huang, W., Sun, M.,
Variational Mode Decomposition-Based Heart Rate Estimation Using Wrist-Type Photoplethysmography During Physical Exercise,
ICPR18(3766-3771)
IEEE DOI 1812
Acceleration, Heart rate, Estimation, Electrocardiography, Monitoring, Motion artifacts, Wrist, Heart rate monitoring, wearable devices BibRef

Abdeldayem, S.S., Bourlai, T.,
Automatically Detecting Arrhythmia-related Irregular Patterns using the Temporal and Spectro-Temporal Textures of ECG Signals,
ICPR18(2301-2307)
IEEE DOI 1812
Electrocardiography, Feature extraction, Heart beat, Time-frequency analysis, Medical services, Wavelet transforms BibRef

Wang, H.,
ReNN: Rule-embedded Neural Networks,
ICPR18(824-829)
IEEE DOI 1812
Artificial neural networks, Electrocardiography, Feature extraction, Heart rate, Computational modeling, interpretability BibRef

El Bouny, L., Khalil, M., Adib, A.,
Performance analysis of ECG signal denoising methods in transform domain,
ISCV18(1-8)
IEEE DOI 1807
AWGN, discrete wavelet transforms, electrocardiography, mean square error methods, medical signal processing, Thresholding BibRef

Cedilnik, N.[Nicolas], Duchateau, J.[Josselin], Sacher, F.[Frédéric], Jaďs, P.[Pierre], Cochet, H.[Hubert], Sermesant, M.[Maxime],
Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging,
FIMH19(325-333).
Springer DOI 1906
BibRef

Bacoyannis, T.[Tania], Krebs, J.[Julian], Cedilnik, N.[Nicolas], Cochet, H.[Hubert], Sermesant, M.[Maxime],
Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information,
FIMH19(20-28).
Springer DOI 1906
BibRef

Denisko, D.[Danielle], Oduneye, S.[Samuel], Krahn, P.[Philippa], Ghate, S.[Sudip], Lashevsky, I.[Ilan], Wright, G.[Graham], Pop, M.[Mihaela],
Analysis of Activation-Recovery Intervals from Intra-cardiac Electrograms in a Pre-clinical Chronic Model of Myocardial Infarction,
FIMH17(280-288).
Springer DOI 1706
BibRef

Constantinescu, M.[Mihaela], Lee, S.L.[Su-Lin], Ernst, S.[Sabine], Yang, G.Z.[Guang-Zhong],
Statistical Atlases for Electroanatomical Mapping of Cardiac Arrhythmias,
FIMH17(301-310).
Springer DOI 1706
BibRef

Chamorro-Servent, J.[Judit], Dubois, R.[Rémi], Potse, M.[Mark], Coudičre, Y.[Yves],
Improving the Spatial Solution of Electrocardiographic Imaging: A New Regularization Parameter Choice Technique for the Tikhonov Method,
FIMH17(289-300).
Springer DOI 1706
BibRef

Ravon, G.[Gwladys], Dubois, R.[Rémi], Coudičre, Y.[Yves], Potse, M.[Mark],
A Parameter Optimization to Solve the Inverse Problem in Electrocardiography,
FIMH17(219-229).
Springer DOI 1706
BibRef

Ben Salah, I., Ouni, K., Ben Salah, R.,
Cardiac anomalies detection by cepstral analysis of ICG signal,
ISIVC16(82-87)
IEEE DOI 1704
Bioimpedance BibRef

Zaidi, A.M.A., Ahmed, M.J., Bakibillah, A.S.M.,
Feature extraction and characterization of cardiovascular arrhythmia and normal sinus rhythm from ECG signals using LabVIEW,
IVPR17(1-6)
IEEE DOI 1704
Atrial fibrillation BibRef

Tlili, M., Maalej, A., Ben Romdhane, M., Rivet, F., Dallet, D., Rebai, C.,
Mathematical modeling of clean and noisy ECG signals in a level-crossing sampling context,
ISIVC16(359-363)
IEEE DOI 1704
Biomedical measurement BibRef

Kalra, A., Lowe, A., Al-Jumaily, A.,
Point Tracking on a thin elastomer to emulate Skin-stretch induced motion artifacts in Electrocardiogram measurements,
ICVNZ15(1-6)
IEEE DOI 1701
elastomers BibRef

Akbari, H., Shamsollahi, M.B., Phlypo, R.,
Fetal ECG extraction using pi-Tucker decomposition,
WSSIP15(174-178)
IEEE DOI 1603
electrocardiography BibRef

Connolly, A.[Adam], Bishop, M.J.[Martin J.],
The Role of Endocardial Trabeculations in Low-Energy Defibrillation,
FIMH15(412-420).
Springer DOI 1507
BibRef

Kharche, S.R.[Sanjay R.], Biktasheva, I.V.[Irina V.], Seemann, G.[Gunnar], Zhang, H.G.[Heng-Gui], Zhao, J.[Jichao], Biktashev, V.N.[Vadim N.],
Computational Modelling of Low Voltage Resonant Drift of Scroll Waves in the Realistic Human Atria,
FIMH15(421-429).
Springer DOI 1507
BibRef

Loewe, A.[Axel], Krueger, M.W.[Martin W.], Platonov, P.G.[Pyotr G.], Holmqvist, F.[Fredrik], Dössel, O.[Olaf], Seemann, G.[Gunnar],
Left and Right Atrial Contribution to the P-wave in Realistic Computational Models,
FIMH15(439-447).
Springer DOI 1507
BibRef

Chabiniok, R., Sammut, E., Hadjicharalambous, M., Asner, L., Nordsletten, D., Razavi, R., Smith, N.,
Steps Towards Quantification of the Cardiological Stress Exam,
FIMH15(12-20).
Springer DOI 1507
BibRef

Sanchez-Martinez, S.[Sergio], Duchateau, N.[Nicolas], Bijnens, B.[Bart], Erdei, T.[Tamás], Fraser, A.[Alan], Piella, G.[Gemma],
Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction,
FIMH15(65-73).
Springer DOI 1507
BibRef

Chávez, C.E.[Carlos Eduardo], Zemzemi, N.[Nejib], Coudičre, Y.[Yves], Alonso-Atienza, F.[Felipe], Álvarez, D.[Diego],
Inverse Problem of Electrocardiography: Estimating the Location of Cardiac Ischemia in a 3D Realistic Geometry,
FIMH15(393-401).
Springer DOI 1507
BibRef

Lange, M.[Matthias], Palamara, S.[Simone], Lassila, T.[Toni], Vergara, C.[Christian], Quarteroni, A.[Alfio], Frangi, A.F.[Alejandro F.],
Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification,
FIMH15(430-438).
Springer DOI 1507
BibRef

Molléro, R.[Roch], Neumann, D.[Dominik], Rohé, M.M.[Marc-Michel], Datar, M.[Manasi], Lombaert, H.[Hervé], Ayache, N.[Nicholas], Comaniciu, D.[Dorin], Ecabert, O.[Olivier], Chinali, M.[Marcello], Rinelli, G.[Gabriele], Pennec, X.[Xavier], Sermesant, M.[Maxime], Mansi, T.[Tommaso],
Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study,
FIMH15(448-456).
Springer DOI 1507
BibRef

Yang, H.[Huanhuan], Passerini, T.[Tiziano], Mansi, T.[Tommaso], Comaniciu, D.[Dorin],
Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations,
FIMH15(466-474).
Springer DOI 1507
BibRef

Zemzemi, N., Aboulaich, R., Fikal, N., El Guarmah, E.,
Sensitivity of the Electrocardiography Inverse Solution to the Torso Conductivity Uncertainties,
FIMH15(475-483).
Springer DOI 1507
BibRef

Viallon, M., Spaltenstein, J.[Joel], de Bourguignon, C., Vandroux, C., Ammor, A., Romero, W., Bernard, O., Croisille, P., Clarysse, P.,
Automated Quantification of Myocardial Infarction Using a Hidden Markov Random Field Model and the EM Algorithm,
FIMH15(256-264).
Springer DOI 1507
BibRef

Colli-Franzone, P.[Piero], Pavarino, L.F.[Luca F.], Scacchi, S.[Simone],
Relationship Between Cardiac Electrical and Mechanical Activation Markers by Coupling Bidomain and Deformation Models,
FIMH15(304-312).
Springer DOI 1507
BibRef

Corrado, C.[Cesare], Williams, S.[Steven], Chubb, H.[Henry], O'Neill, M.[Mark], Niederer, S.A.[Steven A.],
Personalization of Atrial Electrophysiology Models from Decapolar Catheter Measurements,
FIMH15(21-28).
Springer DOI 1507
BibRef

Soto-Iglesias, D.[David], Duchateau, N.[Nicolas], Butakoff, C.[Constantine], Andreu, D.[David], Fernández-Armenta, J.[Juan], Bijnens, B.[Bart], Berruezo, A.[Antonio], Sitges, M.[Marta], Camara, O.[Oscar],
Quantitative Analysis of Lead Position vs. Correction of Electrical Dyssynchrony in an Experimental Model of LBBB/CRT,
FIMH15(74-82).
Springer DOI 1507
BibRef

Danudibroto, A., Gerard, O., Alessandrini, M., Mirea, O., d'Hooge, J., Samset, E.,
3D Farnebäck Optic Flow for Extended Field of View of Echocardiography,
FIMH15(129-136).
Springer DOI 1507
BibRef

Cao, Y.[Yu], McNeillie, P.[Patrick], Syeda-Mahmood, T.[Tanveer],
Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images,
ICPR14(568-573)
IEEE DOI 1412
Anatomical structure BibRef

Landgren, M.[Matilda], Overgaard, N.C.[Niels Chr.], Heyden, A.[Anders],
A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients,
ICPR14(3398-3403)
IEEE DOI 1412
Echocardiography BibRef

Martín-Martínez, D.[Diego], Domingues, A.[Alexandre], Casaseca-de-la-Higuera, P.[Pablo], Alberola-López, C.[Carlos], Sanches, J.M.[J. Miguel],
PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones,
IbPRIA15(595-602).
Springer DOI 1506
BibRef

Collazos-Huertas, D.F., Álvarez-Meza, A.M., Gaviria-Gómez, N., Castellanos-Dominguez, G.,
Kernel-Based Feature Relevance Analysis for ECG Beat Classification,
IbPRIA15(291-299).
Springer DOI 1506
BibRef

Vázquez-Seisdedos, C.R.[Carlos R.], León, A.A.S.[Alexander A. Suárez], Neto, J.E.[Joao Evangelista],
A Comparison of Different Classifiers Architectures for Electrocardiogram Artefacts Recognition,
CIARP13(II:254-261).
Springer DOI 1311
BibRef

Rodríguez-Alvarez, B.[Beatriz], Ledea-Vargas, J.R.[José R.], Valdés-Pérez, F.E.[Fernando E.],
Method to Correct Artifacts in Multilead ECG Using Signal Entropy,
CIARP13(I:512-518).
Springer DOI 1311
BibRef

Kumar, R.G.[R. Ganesh], Kumaraswamy, Y.S.,
Investigation and classification of ECG beat using Input Output Additional Weighted Feed Forward Neural Network,
ICSIPR13(200-205).
IEEE DOI 1304
BibRef

Ye, C.[Can], Kumar, B.V.K.V.[B.V.K. Vijaya], Coimbra, M.T.[Miguel Tavares],
Combining general multi-class and specific two-class classifiers for improved customized ECG heartbeat classification,
ICPR12(2428-2431).
WWW Link. 1302
BibRef

Bhagavatula, M.[Madhusudan], Savvides, M.[Marios], Bhagavatula, V.[Vijayakumar], Friedman, R.[Robert], Blue, R.[Rebecca], Griofa, M.O.[Marc O.],
Second-degree correlation surface features from Optimal Trade-off Synthetic Discriminant Function filters for subject identification using radio frequency cardiosynchronous waveforms,
ICIP12(269-272).
IEEE DOI 1302
BibRef

Bhagavatula, C.[Chandrasekhar], Jaech, A.[Aaron], Savvides, M.[Marios], Bhagavatula, V.[Vijayakumar], Friedman, R.[Robert], Blue, R.[Rebecca], Griofa, M.O.[Marc O.],
Automatic segmentation of cardiosynchronous waveforms using cepstral analysis and continuous wavelet transforms,
ICIP12(2045-2048).
IEEE DOI 1302
BibRef

Simske, S.J.[Steven J.], Blakley, D.R.[Daniel R.],
Using the vectorcardiogram to remove ECG noise,
ICIP12(2301-2304).
IEEE DOI 1302
BibRef

Azzini, A.[Antonia], Dragoni, M.[Mauro], Tettamanzi, A.G.B.[Andrea G. B.],
Electrocardiographic Signal Classification with Evolutionary Artificial Neural Networks,
EvoIASP(295-304).
Springer DOI 1204
BibRef

Pramanik, S.[Sayak], Mitra, R.N.[Rupendra Nath], Mitra, S.[Sucharita], Chaudhuri, B.B.[Bidyut Baran],
A novel approach for delineation and feature extraction in QRS complex of ECG signal,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Donoso, F.[Felipe], Lecannelier, E.[Eduardo], Pino, E.[Esteban], Rojas, A.[Alejandro],
Reliable Atrial Activity Extraction from ECG Atrial Fibrillation Signals,
CIARP11(621-629).
Springer DOI 1111
BibRef

Esteves, T.[Tiago], Valente, M.[Mariana], Nascimento, D.S.[Diana S.], Pinto-do-Ó, P.[Perpétua], Quelhas, P.[Pedro],
Automatic and Semi-automatic Analysis of the Extension of Myocardial Infarction in an Experimental Murine Model,
IbPRIA11(151-158).
Springer DOI 1106
BibRef

Elshrif, M.[Mohamed], Wang, L.W.[Lin-Wei], Shi, P.C.[Peng-Cheng],
Dynamic Classification of Cellular Transmural TransMembrane Potential (TMP) Activity of the Heart,
FIMH11(36-46).
Springer DOI 1105
BibRef

Wallman, M.[Mikael], Smith, N.[Nic], Rodriguez, B.[Blanca],
Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods,
FIMH11(71-79).
Springer DOI 1105
BibRef

Fritz, T., Jarrousse, O., Keller, D.U.J., Seemann, G., Dössel, O.,
In Silico Analysis of the Impact of Transmural Myocardial Infarction on Cardiac Mechanical Dynamics for the 17 AHA Segments,
FIMH11(241-249).
Springer DOI 1105
BibRef

Neher, P.[Peter], Barschdorf, H.[Hans], Dries, S.[Sebastian], Weber, F.M.[Frank M.], Krueger, M.W.[Martin W.], Dössel, O.[Olaf], Lorenz, C.[Cristian],
Automatic Segmentation of Cardiac CTs - Personalized Atrial Models Augmented with Electrophysiological Structures,
FIMH11(80-87).
Springer DOI 1105
BibRef

Boulakia, M., Gerbeau, J.F.,
Parameter Identification in Cardiac Electrophysiology Using Proper Orthogonal Decomposition Method,
FIMH11(315-322).
Springer DOI 1105
BibRef

Hoogendoorn, C.[Corné], Pashaei, A.[Ali], Sebastian, R.[Rafael], Sukno, F.M.[Federico M.], Cámara, O.[Oscar], Frangi, A.F.[Alejandro F.],
Sensitivity Analysis of Mesh Warping and Subsampling Strategies for Generating Large Scale Electrophysiological Simulation Data,
FIMH11(418-426).
Springer DOI 1105
BibRef

Pashaei, A.[Ali], Hoogendoorn, C.[Corné], Sebastián, R.[Rafael], Romero, D.[Daniel], Cámara, O.[Oscar], Frangi, A.F.[Alejandro F.],
Effect of Scar Development on Fast Electrophysiological Models of the Human Heart: In-Silico Study on Atlas-Based Virtual Populations,
FIMH11(427-436).
Springer DOI 1105
BibRef

Martin, V., Drochon, A., Fokapu, O., Gerbeau, J.F.,
MagnetoHemoDynamics Effect on Electrocardiograms,
FIMH11(325-332).
Springer DOI 1105
BibRef

Zemzemi, N., Bernabeu, M.O., Saiz, J., Rodriguez, B.,
Simulating Drug-Induced Effects on the Heart: From Ion Channel to Body Surface Electrocardiogram,
FIMH11(259-266).
Springer DOI 1105
BibRef

Wilhelms, M.[Mathias], Dössel, O.[Olaf], Seemann, G.[Gunnar],
Comparing Simulated Electrocardiograms of Different Stages of Acute Cardiac Ischemia,
FIMH11(11-19).
Springer DOI 1105
BibRef

Jalil, B.[Bushra], Laligant, O.[Olivier], Fauvet, E.[Eric], Beya, O.[Ouadi],
Detection of QRS complex in ECG signal based on classification approach,
ICIP10(345-348).
IEEE DOI 1009
BibRef

Jalil, B.[Bushra], Beya, O.[Ouadi], Fauvet, E.[Eric], Laligant, O.[Olivier],
QRS Complex Detection by Non Linear Thresholding of Modulus Maxima,
ICPR10(4500-4503).
IEEE DOI 1008
BibRef

Li, X.K.[Xiao-Kun], Porikli, F.M.[Fatih M.],
Human State Classification and Predication for Critical Care Monitoring by Real-Time Bio-signal Analysis,
ICPR10(2460-2463).
IEEE DOI 1008
BibRef

Kumar, D., Carvalho, P., Couceiro, R., Antunes, M., Paiva, R.P., Henriques, J.,
Heart Murmur Classification Using Complexity Signatures,
ICPR10(2564-2567).
IEEE DOI 1008
BibRef

Ozcan, N.O.[N. Ozlem], Gurgen, F.[Fikret],
Fuzzy Support Vector Machines for ECG Arrhythmia Detection,
ICPR10(2973-2976).
IEEE DOI 1008
BibRef

Szczepanski, A.[Adam], Saeed, K.[Khalid], Ferscha, A.[Alois],
A New Method for ECG Signal Feature Extraction,
ICCVG10(II: 334-341).
Springer DOI 1009
BibRef

Zhang, S.[Shi], Zhao, J.S.[Jin-Shuan], She, L.H.[Li-Huang], Wang, G.H.[Guo-Hua],
A Novel Pocket Intelligent One Lead ECG Monitor Based on Fingers Touching,
CISP09(1-3).
IEEE DOI 0910
BibRef

Dai, M.[Min], Lian, S.L.[Shi-Liu],
Removal of Baseline Wander from Dynamic Electrocardiogram Signals,
CISP09(1-4).
IEEE DOI 0910
BibRef

Wang, F.[Fei], Syeda-Mahmood, T.F.[Tanveer F.], Beymer, D.[David],
Information Extraction from Multimodal ECG Documents,
ICDAR09(381-385).
IEEE DOI 0907
BibRef

Syeda-Mahmood, T.[Tanveer], Wang, F.[Fei],
Shape-based matching of heart sounds,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Couceiro, R., Carvalho, P., Henriques, J., Antunes, M., Harris, M., Habetha, J.,
Detection of Atrial Fibrillation using model-based ECG analysis,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Singh, Y.N.[Yogendra Narain], Gupta, P.[Phalguni],
ECG to Individual Identification,
BTAS08(1-8).
IEEE DOI 0809
BibRef

Syeda-Mahmood, T.[Tanveer], Wang, F.[Fei],
Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection,
ECCV08(II: 568-581).
Springer DOI 0810
BibRef

Mitra, S., Mitra, M., Chaudhuri, B.B.,
Computation of QRS Vector of ECG Signal for Observation of It's Clinical Significance,
PReMI07(439-446).
Springer DOI 0712
BibRef

Zhang, Y.[Yu], Xia, L.[Ling], Gong, Y.L.[Ying-Lan], Chen, L.G.[Li-Gang], Hou, G.H.[Guang-Huan], Tang, M.[Min],
Parallel Solution in Simulation of Cardiac Excitation Anisotropic Propagation,
FIMH07(170-179).
Springer DOI 0706
BibRef

Nobuaki, Y.[Yutaka], Amano, A.[Akira], Shimayoshi, T.[Takao], Lu, J.Y.[Jian-Yin], Shim, E.B.[Eun B.], Matsuda, T.[Tetsuya],
A Model for Simulation of Infant Cardiovascular Response to Orthostatic Stress,
FIMH07(190-199).
Springer DOI 0706
BibRef

Remme, E.W.[Espen W.], Smiseth, O.A.[Otto A.],
Characteristic Strain Pattern of Moderately Ischemic Myocardium Investigated in a Finite Element Simulation Model,
FIMH07(330-339).
Springer DOI 0706
BibRef

Kerckhoffs, R.C.P.[Roy C. P.], McCulloch, A.D.[Andrew D.], Omens, J.H.[Jeffrey H.], Mulligan, L.J.[Lawrence J.],
Effect of Pacing Site and Infarct Location on Regional Mechanics and Global Hemodynamics in a Model Based Study of Heart Failure,
FIMH07(350-360).
Springer DOI 0706
BibRef

Grandi, E.[Eleonora], Puglisi, J.L.[Jose L.], Severi, S.[Stefano], Bers, D.M.[Donald M.],
Computer Simulation of Altered Sodium Channel Gating in Rabbit and Human Ventricular Myocytes,
FIMH07(120-128).
Springer DOI 0706
BibRef

Trew, M.L.[Mark L.], Smaill, B.H.[Bruce H.], Pullan, A.J.[Andrew J.],
Relating Discontinuous Cardiac Electrical Activity to Mesoscale Tissue Structures: Detailed Image Based Modeling,
FIMH07(220-229).
Springer DOI 0706
BibRef

Boulakia, M.[Muriel], Fernández, M.A.[Miguel A.], Gerbeau, J.F.[Jean-Frédéric], Zemzemi, N.[Nejib],
Towards the Numerical Simulation of Electrocardiograms,
FIMH07(240-249).
Springer DOI 0706
BibRef

Sohn, K.H.[Kwang-Hyun], Sutherland, D.R.[David R.], Liang, Q.S.[Qian-Sheng], Punske, B.B.[Bonnie B.],
Experimental Measures of the Minimum Time Derivative of the Extracellular Potentials as an Index of Electrical Activity During Metabolic and Hypoxic Stress,
FIMH07(250-259).
Springer DOI 0706
BibRef

Jiang, M.F.[Ming-Feng], Xia, L.[Ling], Shou, G.[Guofa],
Noninvasive Electroardiographic Imaging: Application of Hybrid Methods for Solving the Electrocardiography Inverse Problem,
FIMH07(269-279).
Springer DOI 0706
BibRef

Shou, G.[Guofa], Xia, L.[Ling], Jiang, M.F.[Ming-Feng], Liu, F.[Feng], Crozier, S.[Stuart],
Forward and Inverse Solutions of Electrocardiography Problem Using an Adaptive BEM Method,
FIMH07(290-299).
Springer DOI 0706
BibRef

Requena-Carrión, J.[Jesús], Väisänen, J.H.[Ju-Ho], Rojo-Álvarez, J.L.[José Luis], Hyttinen, J.[Jari], Alonso-Atienza, F.[Felipe], Malmivuo, J.[Jaakko],
Numerical Analysis of the Resolution of Surface Electrocardiographic Lead Systems,
FIMH07(310-319).
Springer DOI 0706
BibRef

Shome, S.[Shibaji], Macleod, R.[Rob],
Simultaneous High-Resolution Electrical Imaging of Endocardial, Epicardial and Torso-Tank Surfaces Under Varying Cardiac Metabolic Load and Coronary Flow,
FIMH07(320-329).
Springer DOI 0706
BibRef

Jolley, M.[Matthew], Stinstra, J.[Jeroen], Weinstein, D.[David], Pieper, S.[Steve], Estepar, R.S.J.[Raul San Jose], Kindlmann, G.[Gordon], MacLeod, R.[Rob], Brooks, D.H.[Dana H.], Triedman, J.K.[John K.],
Open-Source Environment for Interactive Finite Element Modeling of Optimal ICD Electrode Placement,
FIMH07(373-382).
Springer DOI 0706
BibRef

Katsnelson, L.B.[Leonid B.], Sulman, T.[Tatiana], Solovyova, O.[Olga], Markhasin, V.S.[Vladimir S.],
Mathematical Modeling of Electromechanical Function Disturbances and Recovery in Calcium-Overloaded Cardiomyocytes,
FIMH07(383-392).
Springer DOI 0706
BibRef

Colli-Franzone, P.[Piero], Pavarino, L.F.[Luca F.], Scacchi, S.[Simone],
Anode Make and Break Excitation Mechanisms and Strength-Interval Curves: Bidomain Simulations in 3D Rotational Anisotropy,
FIMH11(1-10).
Springer DOI 1105
BibRef

Colli-Franzone, P.[Piero], Pavarino, L.F.[Luca F.], Scacchi, S.[Simone], Taccardi, B.[Bruno],
Determining Recovery Times from Transmembrane Action Potentials and Unipolar Electrograms in Normal Heart Tissue,
FIMH07(139-149).
Springer DOI 0706
BibRef

Zhang, H.[Heye], Wang, L.W.[Lin-Wei], Shi, P.C.[Peng-Cheng],
Simulations of Cardiac Electrophysiological Activities Using a Heart-Torso Model,
FIMH07(150-159).
Springer DOI 0706
BibRef

Henriques, J., Brito, M., Gil, P., Carvalho, P., Antunes, M.,
Searching for Similarities in Nearly Periodic Signals With Application to ECG Data Compression,
ICPR06(III: 942-945).
IEEE DOI 0609
BibRef

Zhou, X.B.[Xin-Biao], Li, H.Y.[Hong-Yan], Liu, H.B.[Hai-Bin], Li, M.M.[Mei-Mei], Tang, L.[Lvan], Fan, Y.[Yu], Hu, Z.J.[Zi-Jing],
Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams,
IWICPAS06(185-194).
Springer DOI 0608
BibRef

Moreau-Villéger, V.[Valérie], Delingette, H.[Hervé], Sermesant, M.[Maxime], Faris, O.[Owen], McVeigh, E.R.[Elliot R.], Ayache, N.J.[Nicholas J.],
Global and local parameter estimation of a model of the electrical activity of the heart,
INRIARR-5269, 2004.
HTML Version. BibRef 0400

Jia, S.[Sen], Qian, Y.T.[Yun-Tao], Dai, G.[Guang],
An advanced segmental semi-Markov model based online series pattern detection,
ICPR04(III: 634-637).
IEEE DOI 0409
Time alignment of sequences. ECG data. BibRef

Micó, P.[Pau], Cuesta, D.[David], Novák, D.[Daniel],
Clustering Improvement for Electrocardiographic Signals,
CIAP05(892-899).
Springer DOI 0509
BibRef

Cuesta-Frau, D., Perez-Cortes, J.C., Andreu-Garcia, G., Novak, D.,
Feature extraction methods applied to the clustering of electrocardiographi signals. a comparative study,
ICPR02(III: 961-964).
IEEE DOI 0211
BibRef

Kowalski, H.A.[Henryk A.], Skorupski, A.[Andrzej], Szymanski, Z.[Zbigniew], Ziembla, W.[Wojciech], Wojciechowski, D.[Dariusz], Sionek, P.[Piotr], Jedrasik, P.[Piotr],
Cardiac Rhythm Analysis Using Spatial ECG Parameters and SPART Method,
CAIP01(290 ff.).
Springer DOI 0210
BibRef

Nygaard, R.[Ranveig], Melnikov, G.[Gerry], Katsaggelos, A.K.[Aggelos K.],
Rate distortion optimal ECG signal compression,
ICIP99(II:348-351).
IEEE DOI BibRef 9900

Ouyang, N.[Ning], Lam, W.K.[Wing-Kai], Xu, L.[Lei],
Application of Bayesian Ying-Yang Criteria for Selecting the Number of Hidden Units with Backpropagation Learning to Electrocardigram Classification,
ICPR98(Vol II: 1686-1688).
IEEE DOI 9808
BibRef

Valev, V., Radeva, P.I.,
Construction of Boolean Decision Rules for ECG Recognition by Non-Reducible Descriptors,
ICPR96(II: 111-115).
IEEE DOI 9608
(Bulgarian Academy of Sciences, BG) BibRef

Fainzilberg, L.S.[Leonid S.], Potapova, T.[Tatiana],
Computer analysis and recognition of cognitive phase space electro-cardio graphic image,
CAIP95(668-673).
Springer DOI 9509
BibRef

Mohamed, A.S.A., Raafat, H.M.,
Recognition of heart sounds and murmurs for cardiac diagnosis,
ICPR88(II: 1009-1011).
IEEE DOI 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
ECG, Electrocardiogram for Biometrics .


Last update:Dec 12, 2019 at 13:23:06