A multi-lead ECG classification based on random projection features

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 625-628

  Bogdanova, Iva ^a   Rincón, Francisco ^a,b   Atienza, David ^a  

^a EPFL   (Switzerland)

^b UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

adaptive neuro fuzzy classification; automatic multi lead ECG; ECG dimensionality reduction; random projections

Indexed keywords

CLASSIFICATION PERFORMANCE; DIMENSIONALITY REDUCTION; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; HEALTH MONITORING; LOW-COMPLEXITY; MEMORY USAGE; MYOCARDIAL INFARCTION; NEURO FUZZY CLASSIFICATION; NEURO-FUZZY CLASSIFIERS; NORMAL SINUS RHYTHM; PORTABLE SYSTEM; RANDOM PROJECTIONS; REAL-TIME OPERATION; RECOGNITION RATES; WEARABLE SENSORS;

ENERGY EFFICIENCY; FEATURE EXTRACTION; FUZZY SYSTEMS; PORTABLE EQUIPMENT; SENSORS; SIGNAL PROCESSING;

ELECTROCARDIOGRAPHY;

EID: 84867608925     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6287961     Document Type: Conference Paper

References (11)

1. P. de Chazal and Reilly R. B., "A comparizon of the ECG classification performance of different feature sets," in Computers in Cardiology, 2000, pp. 327-330.
2. M. L. Soria and Martinez J. P., "An ECG classification model based on multilead wavelet transform features," in Computers in Cardiology, 2007, pp. 105-108.
3. V.E Neagoe, I-F. Iatan, and Grunwald S., "A neurofuzzy approach to classification of ECG signals for ischemic heart disease diagnostic," in AMIA Symposium Proceedings, 2003, pp. 494-498.
4. R. Benali and Chikh M.A., "Neuro-fuzzy classifier for cardiac arrythmias recognition," in J. Theoretical and Applied Information Technology, 2009, pp. 577-583.
5. Ch.T. Sun and Jang J.S., "A neuro-fuzzy classifier and its applications," in Contemporary Mathematics, 1993, vol. 26, pp. 189-206.
6. I. Guler and E. D. Ubeyli, "Application of adaptive neuro fuzzy inference system for detection of electrocardiographic changes in patients with partial epilpsy using feature extraction," in Expert Systems with Application, 2004, vol. 27, pp. 323-330.
7. B. M. Shen et al, "Multi-lead ECG classification based on independent component analysis and support vector machine," in Int. Conf. on Biomedical Engineering and Informatics (BMEI), 2010, vol. 37, pp. 960-964.
8. W.B. Johnson and J. Lindenstrauss, "Extensions of Lipschitz mapping into Hilbert space," in Contemporary Mathematics, 1984, vol. 26, pp. 189-206.
9. D. Achlioptas, "Database-friendly random projections: Johson-Lindenstrauss with binary coins," in Journal of Computer and System Sciences, 2003, vol. 66, pp. 671-687.
10. B. Cetisli, "Development of adaptive neuro-fuzzy classifier using linguistic hedges: Part 1," in Expert Systems with Applications, 2010, vol. 37, pp. 6093-6101.
11. A. Burns et al, "SHIMMER a wireless sensor platform for noninvasive biomedical research," IEEE Sensors, vol. 10, no. 9, pp. 1527-1534, Sept. 2010.