Association Analysis of Biosignals Using Self Organizing Maps

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Al Rawi, MS (Author) Other; Fernandes, JM (Author) Other; Tafula, S (Author) Other; Cunha, JPS (Author) Other

Conference proceedings International

Title: WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 4: IMAGE PROCESSING, BIOSIGNAL PROCESSING, MODELLING AND SIMULATION, BIOMECHANICS

Pages: 2170-2173

World Congress on Medical Physics and Biomedical Engineering

Munich, GERMANY, SEP 07-12, 2009

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Other information

Authenticus ID: P-003-D4H

DOI: 10.1007/978-3-642-03882-2-576

Abstract (EN): This work assesses the ability of Self Organizing Maps (SOMs) to find nonlinear association and/or connectivity among biosignals. The proposed method can find numerous applications where nonlinear biosignals are measured in spatiotemporal manner. Experiments are performed on tens of thousands of biosignals that are obtained from real biosignals by implementing a nonlinear transform, delays, additive and multiplicative random noise. Results showed that resolving association among biosignals under strong nonlinear transformation, noise, and delay is effective using SOMs.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4