Title :
A simulation model and its identification for transmission mechanism of pain information
Author :
Jiang, Guo-tai ; Chen, Jian
Author_Institution :
Coll. of Life Sci. & Med. Eng., Tongii Univ., Shanghai, China
fDate :
29 Oct-1 Nov 1998
Abstract :
Pain information can hardly be measured objectively outside. To investigate the mechanism of pain transmission, a simulation model describing the transmission mechanism of pain information conveyed to pain center from sensory nerve endings via transmission neurons is provided in this paper. The conducted pain information demodulated from a series of impulses was utilized in this model where cell units with characteristics of chaos constituted the neural network. Then, the simulation network was trained by applying the two-step algorithm of parameter identification, and consequently the information of pain point and pain grade was the output
Keywords :
backpropagation; chaos; neural nets; neurophysiology; parameter estimation; physiological models; analgesic mechanism; backpropagation; chaos characteristic; identification; impulse series; nerve pulse demodulation; neural network; pain grade; pain information; pain point; sensory nerve endings; simulation model; transmission mechanism; transmission neurons; two-step algorithm; Brain modeling; Chaos; Computer simulation; Context modeling; Medical simulation; Nerve endings; Neurons; Pain; Pulse measurements; Pulse modulation;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747020
