Intelligent Analysis of Biomedical Signals for Personal Identification and Life Support Systems
Tài liệu tham khảo
Biel, 2001, ECG Analysis: A New Approach in Human Identification, IEEE Transactions on Instrumentation and Measurement, 50, 808, 10.1109/19.930458
Yi WJ, Park KS, Jeong DU. Personal identification from ECG measured without body surface electrodes using probabilistic neural networks. Proc. 2003 World Congress on Medical Physics and Biomedical Engineering, Sydney, Australia, 2003.
Shen, 2002, One-lead ECG for identity verification, Proc. of the 2nd Joint Conference of the IEEE Engineering in Medicine and Biology Society and the Biomedical Engineering Society, 1, 62
Lugovaya TS. Biometric Human Identification based on ECG. PhysioNet. doi:10.13026/C2J01F. Available at: https://www.physionet.org/physiobank/database/ecgiddb/biometric.shtml (accessed May 2018)
The ECG-ID Database. PhysioNet. Available at: https://www.physionet.org/physiobank/database/ecgiddb/ (accessed May 2018)
Lugovaya, 2005, Biometric human identification based on electrocardiogram. Master’s thesis
Meng, 2016, Detection Ventricular Tachycardia and Fibrillation using the Lempel-Ziv complexity and Wavelet transform, WSEAS Transactions on information science and applications, 13, 118
Verma, 2016, Detection of Ventricular Fibrillation Using Random Forest Classifier, J. Biomedical Science and Engineering, 9, 259, 10.4236/jbise.2016.95019
Kaur, 2013, Ventricular Fibrillation Detection using Empirical Mode Decomposition and Approximate Entropy, International Journal of Emerging Technology and Advanced Engineering, 3, 260
JCTB, 2002, Ventricular Fibrillation Detection using a Leakage/Complexity Measure Method, Computers in Cardiology, 29, 213
Ilankumaran, 2011, Ventricular Arrhythmias Detection using Wavelet Decomposition, International Journal of Computer Applications, 20, 11, 10.5120/2399-3192
Manilo, 2016, Recognition of Biomedical Signals based on Their Spectral Description Data Analysis, Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, 26, 782
Duda, 2001, 659
MIT-BIH Arrhythmia Database. Available from MIT-BIH database distribution. Massachusetts institute of technology. URL: http://www.physio-net.org/physiobank/database/mitdb;http://ecg.mit.edu.
Hughes S, Griffiths R. Anaesthesia Monitoring Techniques. Anaesthesia and Intensive Care Medicine 2002: 477-480.
Schwilden, 2006, Concepts of EEG processing: from power spectrum to bispectrum, fractals, entropies and all that, Best Practice & Research Clinical Anaesthesiology, 20, 31, 10.1016/j.bpa.2005.09.001
Bein, 2006, Entropy, Best Practice & Research Clinical Anaesthesiology, 20, 101, 10.1016/j.bpa.2005.07.009
Kalinichenko, 2015, Analysis of anesthesia stages based on the EEG entropy estimation, Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, 25, 632
Pincus, 1991, Approximate entropy as a measure of system complexity, Proc. Natl. Acad. Sci. USA, 88, 2297, 10.1073/pnas.88.6.2297
2001, Nonlinear biomedical signal processing