Presentation 2022-07-09
EEG signal processing for the brain death determination
Jianting CAO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We present a calculating entropy and an accumulating energy electroencephalography (EEG) analyses method for the purpose of supporting the clinical brain death determination. This talk will focus on an approximate entropy (APEN) measure and an energy measure method to evaluate the differences between deep comatose patients and quasi brain death. In the ApEn studies, we find the statistical differences between the comatose patient group and quasi brain death group by EEG analysis. For the individual patient’s EEG analysis, we have developed adaptive ApEn algorithm to evaluate the dynamic variation of ApEn. The energy of brain activities is evaluated by using empirical mode decomposition (EMD). Since the energy or the power of spontaneous activities in a live brain is usually higher than that of non-activity components, therefore, we can analyze and evaluate the energy or the power spectrum differences between comatose patients and quasi brain deaths.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) brain deathEEGsignal processing
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Conference Information
Committee MI
Conference Date 2022/7/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical imaging, recoginition, etc.
Chair Hidekata Hontani(Nagoya Inst. of Tech.)
Vice Chair Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.)
Secretary Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo)
Assistant Takeshi Hara(Gifu Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Medical Imaging
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) EEG signal processing for the brain death determination
Sub Title (in English)
Keyword(1) brain deathEEGsignal processing
1st Author's Name Jianting CAO
1st Author's Affiliation Saitama Institute of Technology(SIT)
Date 2022-07-09
Paper #
Volume (vol) vol.122
Number (no) MI-98
Page pp.pp.-(),
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Date of Issue