Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems
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David Atienza | Dionisije Sopic | Amin Aminifar | Amir Aminifar | David Atienza Alonso | Dionisije Sopic | Amin Aminifar | A. Aminifar
[1] David Atienza,et al. e-Glass: A Wearable System for Real-Time Detection of Epileptic Seizures , 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).
[2] C. Smith. Diagnostic tests (1) – sensitivity and specificity , 2012, Phlebology.
[3] U. Rajendra Acharya,et al. Application of entropies for automated diagnosis of epilepsy using EEG signals: A review , 2015, Knowl. Based Syst..
[4] Johannes B Reitsma,et al. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. , 2005, Journal of clinical epidemiology.
[5] Jie Tang,et al. Enabling Deep Learning on IoT Devices , 2017, Computer.
[6] A. John Camm,et al. The Esc Textbook of Cardiovascular Medicine , 2009 .
[7] Fan Zhang,et al. Design of Ultra-Low Power Biopotential Amplifiers for Biosignal Acquisition Applications , 2012, IEEE Transactions on Biomedical Circuits and Systems.
[8] Paramvir Bahl,et al. Real-Time Video Analytics: The Killer App for Edge Computing , 2017, Computer.
[9] Gabriel Jimenez-Moreno,et al. Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors , 2017, IEEE Transactions on Biomedical Circuits and Systems.
[10] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[11] Elena Baralis,et al. Real-Time Analysis of Physiological Data to Support Medical Applications , 2009, IEEE Transactions on Information Technology in Biomedicine.
[12] U. Rajendra Acharya,et al. Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads , 2016, Knowl. Based Syst..
[13] Karl-Erik Årzén,et al. A simple event-based PID controller , 1999 .
[14] Thomas Hofmann,et al. Probabilistic Latent Semantic Analysis , 1999, UAI.
[15] Umberto Castellani,et al. Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Srinivasan Murali,et al. Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors , 2018, IEEE Transactions on Biomedical Circuits and Systems.
[17] David Atienza,et al. Early Classification of Pathological Heartbeats on Wireless Body Sensor Nodes , 2014, Sensors.
[18] David Atienza,et al. Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices , 2017, 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS).
[19] Ramón Díaz-Uriarte,et al. Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.
[20] D. Abásolo,et al. Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients. , 2009, Medical Engineering and Physics.
[21] Srinivasan Murali,et al. A wearable device for physical and emotional health monitoring , 2015, 2015 Computing in Cardiology Conference (CinC).
[22] Pierre Vandergheynst,et al. Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes , 2011, IEEE Transactions on Biomedical Engineering.
[23] Paolo Bonato,et al. Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors , 2009, IEEE Transactions on Information Technology in Biomedicine.
[24] Philip J. Fleming,et al. How not to lie with statistics: the correct way to summarize benchmark results , 1986, CACM.
[25] Willis J. Tompkins,et al. A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.
[26] Moncef Gabbouj,et al. Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks , 2016, IEEE Transactions on Biomedical Engineering.
[27] G. Bernardi,et al. [Relationship of symptom-onset-to-balloon time and door-to-balloon time with mortality in patients undergoing angioplasty for acute myocardial infarction]. , 2000, Italian heart journal. Supplement : official journal of the Italian Federation of Cardiology.
[28] Kyung-Sup Kwak,et al. The Internet of Things for Health Care: A Comprehensive Survey , 2015, IEEE Access.
[29] Fred S Apple,et al. Third universal definition of myocardial infarction , 2012 .
[30] Guenter Klas,et al. Edge Computing and the Role of Cellular Networks , 2017, Computer.
[31] David Atienza,et al. Development and Evaluation of Multilead Wavelet-Based ECG Delineation Algorithms for Embedded Wireless Sensor Nodes , 2011, IEEE Transactions on Information Technology in Biomedicine.
[32] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[33] Maria Isabel Ribeiro,et al. Gaussian Probability Density Functions: Properties and Error Characterization , 2004 .
[34] Shankar Muthu Krishnan,et al. ECG signal conditioning by morphological filtering , 2002, Comput. Biol. Medicine.
[35] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[36] C. Cannon,et al. Acute myocardial infarction , 2017, The Lancet.