DocumentCode :
663018
Title :
Effects of ion channel currents on induced action potentials
Author :
Komuro, Rie ; Balasingham, Ilangko
Author_Institution :
Electron. & Telecommun., NTNU, Trondheim, Norway
fYear :
2013
fDate :
6-8 Nov. 2013
Firstpage :
601
Lastpage :
604
Abstract :
With development of electric devices, continuous exposure of electromagnetic (EM) fields to human bodies has become great concerns. Despite our interest, their effects on human bodies have not been well-determined. We have an interest in the non-thermal effects of the EM fields on neurons and attempt to establish a scientific explanation. Elucidation of the EM effects on neurons could allow us to make use of the induced current for spike initiation. As the first step toward understanding the connection between the applied current and the triggering action potentials, we simulated how the generated action potential would change depending on the applied current using a fundamental mathematical model on a simple geometry. Five periodic waves having different shapes were used as the applied current. Analysis showed that not only how the current increased the value but also how it decreased the value was important. We also concluded that the sine wave would be the best as the applied current among the five to generate action potentials.
Keywords :
bioelectric phenomena; biological effects of fields; biomembranes; cellular biophysics; electromagnetic fields; electromagnetic waves; geometry; mathematical analysis; neurophysiology; physiological models; EM field nonthermal effect; action potential generation; applied current effect; applied current shape; continuous electromagnetic field exposure; electric device development; electromagnetic field effect; fundamental mathematical model; geometry; human body EM field exposure; induced action potential; induced current; ion channel current effect; neuron; periodic wave shape; scientific explanation; sine wave; spike initiation; triggering action potential; Biological system modeling; Educational institutions; Equations; Geometry; Mathematical model; Neurons; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location :
San Diego, CA
ISSN :
1948-3546
Type :
conf
DOI :
10.1109/NER.2013.6696006
Filename :
6696006
Link To Document :
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