On the chaotic nature of biological signals using nonlinear data analysis methodology

• Main Authors: Azian Azamimi, Abdullah, Nishio, Yoshifumi
• Other Authors: [e-mail]
• Format: Working Paper
• Language: English
• Published: Universiti Malaysia Perlis 2009
• Subjects: Biological signals; Lyapunov functions; Control theory; Chaotic behavior in systems; Biomedical engineering
• Online Access: http://dspace.unimap.edu.my/xmlui/handle/123456789/7291

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.