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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 15:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Lightweight and Interpretable Deep Learning Model for EEG-Based Sleep Stage Classification Aozora Ito, Toshihisa Tanaka (TUAT)  EA2023-82 SIP2023-129 SP2023-64 |
Sleep scoring by experts is necessary for diagnosing sleep disorders. EEG is one of the essential physiological data for... [more] | EA2023-82 SIP2023-129 SP2023-64 pp.127-132 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-19 10:00 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
EEG-Based Sleep Stage Classification Using a Self-Attention Model Aozora Ito, Kosuke Fukumori, Toshihisa Tanaka (TUAT) SIP2023-9 BioX2023-9 IE2023-9 |
EEG-based sleep stage classification is clinically significant, and deep learning is the dominant method for automating ... [more] | SIP2023-9 BioX2023-9 IE2023-9 pp.35-40 |
| NLP, MSS | 2023-03-15 16:15 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Correlation dimensions of EEG time series characterizing sleep stages in mice Kazuki Koyama (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2022-77 NLP2022-122 |
In this study, we estimate the embedding dimension, which is necessary for embedding EEG time series of mouse sleep into... [more] | MSS2022-77 NLP2022-122 pp.75-80 |
| MBE, NC | 2022-12-03 13:30 |
Osaka | Osaka Electro-Communication University | Spindle waves Extraction Using Complex Demodulation Method Yukari Tamamoto (Osaka Electro-Communication Univ.), Tatsuro Fujie (Morinomiya Univ.), Hideo Nakamura (Osaka Electro-Communication Univ.) MBE2022-24 NC2022-46 |
The purpose of this study is to evaluate the extraction accuracy of characteristic EEG waveforms during sleep, using the... [more] | MBE2022-24 NC2022-46 p.17 |
| MSS, NLP | 2022-03-29 13:50 |
Online | Online | Classification of power spectra of EEG by non-negative matrix factorization Kazuki Koyama, Mariko Ito (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2021-76 NLP2021-147 |
It has been common for experts to manually and subjectively classify sleep stages in the experiments for the sleep of mi... [more] | MSS2021-76 NLP2021-147 pp.111-116 |
| MBE, NC (Joint) |
2022-03-03 15:30 |
Online | Online | EEG style transfer for sleep stage scoring using deep learning Naoki Omiya (Univ. of Tsukuba), Kazumasa Horie (CCS), Hiroyuki Kitagawa (IIIS) NC2021-66 |
Sleep stage scoring is a clinical inspection to identify in which sleep stages the patients are from their biological si... [more] | NC2021-66 pp.106-111 |
| PRMU | 2021-12-17 10:30 |
Online | Online | Automatic estimation of sleep state by multi-view video analysis Naoyuki Ebata, Shinya Fukumoto, Masayuki Kashima, Mutumi Watanabe, Hitoshi Sakimoto, Takanori Ishizuka, Masayuki Nakamura (Kagoshima Univ) PRMU2021-44 |
We have developed a method for estimating the stage of sleep by analyzing video from two viewpoints. One is to extract f... [more] | PRMU2021-44 pp.107-112 |
| MI, MICT [detail] | 2021-11-05 13:45 |
Online | Online | Sleep Apnea Syndrome Detection based on Characteristics of Micro-WAKE during Sleep Iko Nakari, Keiki Takadama (UEC) MICT2021-36 MI2021-34 |
This paper describes the analysis of sequential sleep stage focused on previous and after of WAKE stage (shallow sleep) ... [more] | MICT2021-36 MI2021-34 pp.37-42 |
| MBE, IEE-MBE | 2021-06-25 15:00 |
Online | Online | Relationship between cardiac autonomic nervous system and sleep parameters Tatsuro Fujie (MUMS), Yukari Tamamoto (Osakagyoumeikan Hosp.), Hideo Nakamura (OECU) MBE2021-9 |
Many reports have suggested a simple test to examine sleep quality for screening at home in recent years. However, their... [more] | MBE2021-9 p.9 |
| MBE, MICT | 2021-01-28 17:55 |
Online | Online | Measurement of respiration during sleep by using wearable sensor Takuto Yanagida, Koshiro Niwa, Akihiro Karashima (Tohoku Inst. Tech.) MICT2020-32 MBE2020-37 |
We have been manufacturing a wearable respiration measuring instrument, which is composed by a permanent magnet and magn... [more] | MICT2020-32 MBE2020-37 pp.50-53 |
| MBE, NC (Joint) |
2018-03-13 10:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Estimation of sleep position change and sleep stages using sheet-type vibration sensors Megumi Nakamura, Shion Yamagata, Takamasa Yoshida, Nobuyuki Terada (Toyo Univ.) MBE2017-90 |
To easily estimate sleep position change and sleep stages on the bed, we measured physical vibrations using sheet-type v... [more] | MBE2017-90 pp.57-60 |
| MI, MICT | 2017-11-06 14:00 |
Kagawa | Sunport Hall Takamatsu | The Real-Time Sleep Stage Re-Estimation Method focused on a Sleep Cycle Transition Yusuke Tajima, Akinori Murata (UEC), Tomohiro Harada (Ritsumeikan), Keiki Takadama (UEC) MICT2017-34 MI2017-56 |
This paper focuses on the real-time sleep stage estimation method(RSSE) without connecting anydevices to human bodies, a... [more] | MICT2017-34 MI2017-56 pp.39-44 |
| MBE, NC (Joint) |
2016-11-18 13:55 |
Miyagi | Tohoku University | Spatio-temporal dynamics of slow wave activities measured by transcranial flavin autofluorescence imaging in the mouse neocortex Anri Sato, Yuto Yoshida, Mitsuyuki Nakao, Norihiro Katayama (Tohoku Univ.) MBE2016-47 |
During slow wave sleep, which is the resting sleep stage, slow wave activity (SWA) is observed in the neocortex of the b... [more] | MBE2016-47 pp.1-4 |
| MI, MICT | 2016-09-16 16:40 |
Tokyo | Koganei Campus, Tokyo University of Agriculture and Technology | Improving Accuracy of Real-time Sleep Stage Estimation by Considering Personal Sleep Feature Tomohiro Harada (Ritsumeikan Univ.), Takahiro Kawashima, Morito Morishima (Yamaha Corp.), Keiki Takadama (UEC) MICT2016-47 MI2016-61 |
This research proposes a novel method to estimate the sleep stage in real-time by heat rate obtained with a non-contact ... [more] | MICT2016-47 MI2016-61 pp.63-68 |
| MICT | 2016-03-09 14:50 |
Aichi | Nagoya Institute of Technology | Long sleep time improve heart rate variability in patients with mild hypertension and/or the initial stage of heart failure Natsuki Nakayama (Chubu Univ.) MICT2015-56 |
Several prior studies have considered sleep to be involved in the prognosis of cardiovascular diseases. The purpose of t... [more] | MICT2015-56 pp.17-19 |
| OCS, OFT, IEE-CMN, ITE-BCT (Joint) [detail] |
2015-11-12 16:25 |
Ehime | Matsuyama Civic Center | Respiration and body movement analysis during sleep using sensitive mattress based on hetero-core fiber optic sensor Yugo Taguchi, Shuhei Fujino, Michiko Nishiyama, Kazuhiro Watanabe (Soka Univ.) OFT2015-40 |
This paper describes a sensitive mattress based on hetero-core fiber optic sensors with a superior ability for monitorin... [more] | OFT2015-40 pp.5-8 |
| MBE, BioX, NC | 2015-10-25 16:20 |
Osaka | Osaka Electro-Communication University | Cardiac autonomic nervous system activity to deep sleep in young male subjects Tatsuro Fujie (Gyoumeikan Hosp), Takafumi Inoue (OECU), Yoshihiro Hashimoto (MTS), Hideo Nakamura (OECU) BioX2015-37 MBE2015-48 NC2015-32 |
Recently, a lot of reports published the methodologies to estimate sleep stages with body movement, pulse wave, respirat... [more] | BioX2015-37 MBE2015-48 NC2015-32 pp.81-86 |
| MBE | 2014-05-24 15:40 |
Toyama | University of Toyama | Analysis of Blink Characteristics for Sleepiness Estimation Daiki Sugimoto, Hironobu Takano, Kiyomi Nakamura (Toyama Prefectural Univ.) MBE2014-10 |
The purpose of our study is the development of graded sleepiness estimation method using only the blink information. In ... [more] | MBE2014-10 pp.49-52 |
| MBE, NC (Joint) |
2012-11-16 16:10 |
Miyagi | Tohoku University | Dependence of amplitude-modulation following response on sleepiness Hiromi Mukoda, Akihiro Karashima, Norihiro Katayama, Mitsuyuki Nakao (Tohoku Univ.) MBE2012-54 |
We investigated the relationship between sleepiness and amplitude of amplitude-modulation following response (AMFR) to f... [more] | MBE2012-54 pp.47-52 |
| MBE | 2011-10-13 15:40 |
Osaka | Osaka Electro-Communication University | Sleep stage automatic classification with single channel sleep EEG signals Hideo Nakamura (Osaka Ele. Com. Univ.), Kaori Kashiwagi, Masaki Yoshida (SleepWell) MBE2011-56 |
The purpose of this study is to examine that automatic classification algorithm with the single channel EEG signal is co... [more] | MBE2011-56 pp.33-36 |
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