IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Epileptic Seizure Detection Using Active Learning with Riemannian Manifold
Toshiki Orihara, Toshihisa Tanaka (TUAT) EA2021-96 SIP2021-123 SP2021-81
In order to realize machine learning for diagnosis, it is necessary to solve the problem that the training model is not ... [more] EA2021-96 SIP2021-123 SP2021-81
pp.201-206
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-21
09:50
Online Online Comparison of Multimodal Cortical Activity in Focal and Generalized Epileptic Seizures Using a Multimodal Probe
Manami Wakuya (KU), Takao Inoue, Imoto Hirochika, Nomura Sadahiro, Maruta Yuich, Suzuki Michiyasu (YU), Toshitaka Yamakawa (KU) NLP2021-75 MICT2021-50 MBE2021-36
It has been revealed that epileptic brain activity was observed via not only electrocorticography (ECoG), but also corti... [more] NLP2021-75 MICT2021-50 MBE2021-36
pp.25-27
SIP, CAS, VLD, MSS 2021-07-05
13:00
Online Online Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism
Kosuke Fukumori (TUAT), Noboru Yoshida, Hidenori Sugano, Madoka Nakajima (Juntendo Univ.), Toshihisa Tanaka (TUAT) CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3
Automated identification of epileptiform discharges for the diagnosis of epilepsy can mitigate the burden of the exhaust... [more] CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3
pp.11-15
NLP, CCS 2021-06-11
17:10
Online Online Behavior modification, and spontaneous activity and beta oscillation focused on the High Frequency Oscillation in latent period of kainic acid-induced epilepsy model
Hirofumi Arai, Ryusei Maeda, Kiyohisa Natsume (Kyutech) NLP2021-14 CCS2021-14
High Frequency Oscillation (HFO) in human is observed as ripple of low frequency (80-250Hz), whereas patients with tempo... [more] NLP2021-14 CCS2021-14
pp.67-72
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:15
Online Online Automatic Detection of Epileptic Abnormal EEG Using Deep Learning
Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] EA2020-62 SIP2020-93 SP2020-27
pp.15-20
NC, NLP
(Joint)
2021-01-22
15:55
Online Online The different patterns of epileptic discharges in rat hippocampal slices based on the frequency of high frequency oscillations
Toyohiro Sawada, Hirofumi Arai, Ryusei Maeda, Kiyohisa Natume (KIT) NLP2020-54
Electroencephalogram (EEG) reflects brain states and is classified by kinds of frequency. Among them, ripple or high fre... [more] NLP2020-54
pp.76-81
NLP 2020-09-10
10:55
Online Online Difference in suppression of epileptic discharges between beta frequency burst stimulation and theta frequency burst electrical stimulation in rat hippocampal slices
Toyohiro Sawada, Kiyohisa Natume (KIT) NLP2020-23
A number of studies on neurological diseases and EEG have been reported. The epileptic discharges regarding the neurolog... [more] NLP2020-23
pp.7-12
CCS, NLP 2020-06-05
14:50
Online Online The electroencephalography and the effect of acetylcholine for it in hippocampal slices of the epileptic animals model.
Hirofumi Arai, Blanco Negrete Salvador, Rollyn Labuguen, Tomohiro Shibata, Kiyohisa Natsume (Kyutech) NLP2020-18 CCS2020-8
Once a balance between excitation and inhibition in a brain is disrupted, mental disorder will occur. One of the disorde... [more] NLP2020-18 CCS2020-8
pp.35-40
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Comparison of Neural Network Models for Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG
Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2019-156 SIP2019-158 SP2019-105
Epilepsy is a chronic brain disease, and the detection of abnormal waveforms by scalp electroencephalography (EEG) is an... [more] EA2019-156 SIP2019-158 SP2019-105
pp.319-323
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] EpiNet: Convolutional Neural Network for Epileptic Seizure Localization from Interictal Intracranial EEG
Kosuke Mori, Kosuke Fukumori, Toshihisa Tanaka (TUAT), Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano (Juntendo Univ.) EA2019-157 SIP2019-159 SP2019-106
The electroencephalogram (EEG) recording is necessary for epileptic diagnosis. In particular, the intracranial EEG (iEEG... [more] EA2019-157 SIP2019-159 SP2019-106
pp.325-330
MBE, MICT 2020-01-25
09:20
Kumamoto KKR Hotel Kumamoto Intraoperative Cerebral Measurements Using Implantable Cortical Multimodality Probe
Yuya Ishihara, Toshitaka Yamakawa (Kumamoto Univ.), Takao Inoue, Michiyasu Suzuki (Yamaguchi Univ.) MICT2019-39 MBE2019-68
In this study, a multimodality probe that simultaneously measures electroencephalograms, cerebral hemodynamics, and brai... [more] MICT2019-39 MBE2019-68
pp.3-5
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) EA2018-136 SIP2018-142 SP2018-98 Epilepsy is chronic brain disorder that affects 50 million people in the world. To diagnose epilepsy, specialists manual... [more] EA2018-136 SIP2018-142 SP2018-98
pp.217-222
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Epileptic Focus Detection from Interictal Electroencephalogram using RNN
Byambadorj Nyamradnaa, Kosuke Fukumori, Toshihisa Tanaka (TAT), Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano (Juntendo Univ.) EA2018-138 SIP2018-144 SP2018-100
Epilepsy is a neurological disorder characterized by recurrent seizures. An option of treatment is surgical resection of... [more] EA2018-138 SIP2018-144 SP2018-100
pp.229-231
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Epileptic Spike Detection and Identification of Effective Frequency Band with Neural Networks
Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2018-139 SIP2018-145 SP2018-101
Epilepsy is a complex neurological disorder and can lead to an adverse impact on an individual's cognitive functions.
I... [more]
EA2018-139 SIP2018-145 SP2018-101
pp.233-235
MBE, NC
(Joint)
2017-03-13
13:10
Tokyo Kikai-Shinko-Kaikan Bldg. Problems in Interpolation of Invisible Markers of the 3D Motion Capture System during Experiments Investigating Brain Regions Responsible for Skilled Motor Activities by Using Intracranial EEGs
Motoharu Hagio (KIT), Masaya Togo, Riki Matsumoto, Akihiro Shimotake, Akio Ikeda (KU), Hiroaki Wagatsuma (KIT/RIKEN BSI/AIRC, AIST) NC2016-68
Methodologies for intracranial EEG measurement and stimulation intervention are highly important for treatments of refra... [more] NC2016-68
pp.25-30
MBE, NC
(Joint)
2016-03-23
13:10
Tokyo Tamagawa University A Prediction Method of Epileptic Seizure Using Synchronization Likelihood and Electrocorticography
Sho Akizawa, Takatomi Kubo, Kazushi Ikeda (NAIST) NC2015-102
Epilepsy is a neurological disorder that causes sudden recurrent seizures such as convulsion, loss of conisousness, etc.... [more] NC2015-102
pp.189-194
MBE, NC
(Joint)
2016-03-22
16:10
Tokyo Tamagawa University A Connectivity Analysis in Intractable Temporal Lobe Epilepsy.
Yasuto Yoshioka, Hisashi Yoshida, Masaharu Miyauchi, Naoki Nakano, Amami Kato (Kinki Univ.) MBE2015-115
We propose the connectivity analysis using cross-correlation function which we established to visualize quantitative con... [more] MBE2015-115
pp.67-72
MICT, ASN, MoNA
(Joint)
2016-01-29
10:50
Kanagawa Hotel Okada [Invited Talk] Development of a Wearable Heart-Rate Variability Sensor and Apprication to Clinical and Health Care -- Prediction of Epileptic Seizures and Drowsy Driving Accidents --
Toshitaka Yamakawa (Kumamoto Univ.) MoNA2015-47
Heart rate variability (HRV) reflects autonomic nerve activity and provides beneficial information for both clinical and... [more] MoNA2015-47
p.43
NC, MBE
(Joint)
2013-11-23
10:25
Miyagi Tohoku University Epilepsy model and EEG analysis using the correlation between the ictal EEG channels
Shumpei Watanabe, Yasukuni Mori (Chiba Univ.), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ.) MBE2013-71
In the diagnosis of epilepsy, abnormal EEG signals are detected to grasp the condition of the patient and to decide how... [more] MBE2013-71
pp.27-32
NC, MBE
(Joint)
2013-11-23
10:50
Miyagi Tohoku University Chaotic properties of the ictal EEG for epilepsy patients
Koki Okamoto, Yasukuni Mori (Chiba Univ), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ) MBE2013-72
Epilepsy is brought on by abnormal electrical wave which occured in the part of the brain. That is one of the most commo... [more] MBE2013-72
pp.33-38
 Results 1 - 20 of 30  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan