Open AccessData compression of excitatory postsynaptic potentials
Author(s) -
An Hyejin,
Cha Kabmun,
Choi Seyoung,
Shin HyunChool
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.1133
Subject(s) - excitatory postsynaptic potential , biosignal , postsynaptic potential , postsynaptic current , redundancy (engineering) , computer science , pattern recognition (psychology) , artificial intelligence , neuroscience , inhibitory postsynaptic potential , telecommunications , chemistry , biology , biochemistry , receptor , wireless , operating system
Reducing the size of biosignal data is important because a huge amount of data is made by various experiments. In this reported work excitatory postsynaptic potentials (EPSPs) which are one of the biosignal types are efficiently compressed. To the best of authors’ knowledge, EPSPs compression has not been studied yet. The EPSP signal has a feature that the adjacent signals in a single excitatory postsynaptic potential have similar characteristics. Using this feature, a method is proposed which removes the temporal redundancy and statistical redundancy of EPSPs. The compressed and reconstructed EPSPs are similar to the original signal without the loss of analytic information.