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 Results 1 - 20 of 66  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, MICT, IEE-MBE [detail] 2023-01-17
Saga   Removal of an artifact by transcutaneous auricular vagus nerve stimulation from electroencephalogram using automatic detection and modeling of the artifact
Ilham Rais, Tomohiko Igasaki (Kumamoto Univ.)
MBE, MICT, IEE-MBE [detail] 2023-01-17
Saga   Improving EOG components removal from EEG signals using independent component analysis, band power, and Pearson correlation coefficient
Baijun Song, Aoi Takahi, Tomohiko Igasaki (Kumamoto Univ.)
MBE 2022-07-23
Online Online Pilot Study on Early Prediction of Sleep Apnea Based on Heart Rate Variability Time-Series Forecasting
Muhammad Shaufil Adha, Tomohiko Igasaki (Kumamoto Univ.) MBE2022-14
A widely accepted alternative to address the continuous positive airway pressure adherence problem is the use of its aut... [more] MBE2022-14
MBE, MICT 2021-01-28
Online Online Electroencephalogram classification to motor imagery, execution, and observation of right index finger flexion using convolutional neural network
Yugo Kuramura, Junya Takemoto, Tomohiko Igasaki (Kumamoto Univ.) MICT2020-24 MBE2020-29
We attempted to classify the EEG when the participants performed five tasks related to the right index finger flexion: k... [more] MICT2020-24 MBE2020-29
MBE, MICT 2020-01-25
Kumamoto KKR Hotel Kumamoto Basic study on the relationship between mood profile and EEG during puzzle task
Sho Hiramatsu, Daiki Yanagihara, Yuta Baba, Tomohiko Igasaki (Kumamoto Univ) MICT2019-50 MBE2019-79
In our lives, professional life takes a very long time. In that life, working with an unpleasant feeling, such as "unwil... [more] MICT2019-50 MBE2019-79
MBE 2019-07-20
Tokushima   Near future drowsiness prediction using support vector regression analysis of electroencephalogram parameters
Izzat Akbar, Arthur Rumagit, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.) MBE2019-21
Traffic accident becomes a global concern recently. One of the causes is drowsy driving. Previous studies tried to solve... [more] MBE2019-21
MBE 2019-02-01
Saga Saga University Accuracy Evaluation of Heart Rate Variability Indices in Heartbeat Measurement Using Piezoelectric Sensor
Shinichiro Kuroki, Manami Wakuya, Tomohiko Igasaki (Kumamoto Univ.) MBE2018-73
Recently, the importance of health monitoring in life has been increasing with the aim of early detection and early trea... [more] MBE2018-73
MBE 2019-02-01
Saga Saga University Brain-Muscle Synchronization in Lateral Head of Gastrocnemius Muscle During Isometric Contraction of Lower Limb -- Examination for Change of Contraction Force and Elapsed Time --
Kento Yamashita, Takeshi Ushijima, Tomohiko Igasaki (Kumamoto Univ.) MBE2018-74
The coherence between the electroencephalogram (EEG) and the electromyogram (EMG) of the soleus (SOL) muscle during isom... [more] MBE2018-74
MBE 2019-02-01
Saga Saga University Heart Rate Variability During Treadmill Exercise Using Wearable Electrocardiograph -- Examination by Potentials of Unbalanced Complex Kinetics Analysis --
Afifah Nurrosyidah, Tomohiko Igasaki, Toshitaka Yamakawa (Kumamoto Univ.) MBE2018-75
Heart rate variability (HRV) is a marker of autonomic nervous system (ANS) activity and evaluated by observing R-R inter... [more] MBE2018-75
Fukuoka Kyushu Institute of Technology Drowsiness assessment by gazing/blinking parameter from EOG in driving simulator environment
Arthur Mourits Rumagit, Izzat Aulia Akbar, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.) MBE2017-67
Many works related to drowsy driving have been conducted to prevent the traffic accident caused by drowsy driving. In th... [more] MBE2017-67
Fukuoka Kyushu Institute of Technology Development of the detection algorithm of R-peak and PVC-beat in ECG based on multiple automata recognizers
David Pang, Tomohiko Igasaki (Kumamoto Univ.) MBE2017-68
e have been developing the detection algorithm of R peaks in electrocardiogram based on automata. However, there are lim... [more] MBE2017-68
Tokyo Kikai-Shinko-Kaikan Bldg. Long-term monitoring system of heart rate variability for intensive care unit
Tomohiko Igasaki, David Pang (Kumamoto Univ.), Jun'ichi Maehara (Saiseikai Kumamoto Hosp.) MBE2016-90
The long-term and real-time recording and analysis of vital signs of a patient in the intensive care unit (ICU) are expe... [more] MBE2016-90
MBE 2017-01-28
Fukuoka Kyushu University Investigation of the difference between kinesthetic/visual motor imagery and motor execution/observation using electroencephalogram
Junya Takemoto, Katsuya Sakamoto, Tomohiko Igasaki (Kumamoto Univ.) MBE2016-76
The motor imagery is classified into two types, a kinesthetic motor imagery (KMI) and a visual motor imagery (VMI). How... [more] MBE2016-76
MBE 2017-01-28
Fukuoka Kyushu University Evaluation of the sawing skill using three-axis acceleration and angular velocity sensor -- Investigation of the trajectory and angle of the saw blade --
Akito Koga (Kumamoto Univ.), Kazuharu Hashitsume (Shimane Univ.), Tomohiko Igasaki (Kumamoto Univ.) MBE2016-77
Currently, due to the decreasing and aging of the expert woodworkers, their skills are faced with the threat of disappea... [more] MBE2016-77
MBE 2017-01-28
Fukuoka Kyushu University Drowsiness evaluation using gazing time information under driving simulator environment
Mitaku Utsunomiya, Arthur Mourits Rumagit, Izzat Aulia Akbar, Tomohiko Igasaki (Kumamoto Univ) MBE2016-78
According to the several studies, it was shown that the majority of traffic accidents were caused by dozing driving. In ... [more] MBE2016-78
MBE 2017-01-28
Fukuoka Kyushu University Measurement of the heartbeat information using piezoelectric sensor array -- Investigation of the noise removal caused by the body movement --
Shogo Shimai, Tomohiko Igasaki, Makiko Kobayashi (Kumamoto Univ.) MBE2016-79
We have been studying equipment to acquire cardiorespiratory information at home easily by piezoelectric sensors arrangi... [more] MBE2016-79
MBE 2016-01-21
Kagoshima Kagoshima University Study on the measurement of the cardiorespiratory information using a piezoelectric sensor array -- Development of automatic decision method of cardiorespiratory component by the independent component analysis --
Shogo Shimai, Tomohiko Igasaki, Nobuki Murayama, Makiko Kobayashi (Kumamoto Univ) MBE2015-99
We have been studying an equipment to acquire cardiorespiratory information at home easily by piezoelectric sensors arra... [more] MBE2015-99
MBE 2016-01-21
Kagoshima Kagoshima University Development of a Japanese syllabary speller using SSVEP
Yusuke Kurihara, Tomohiko Igasaki, Nobuki Murayama (Kumamoto Univ.) MBE2015-101
We attempt to develop a communication system for people with severe motor disabilities using electroencephalogram(EEG) .... [more] MBE2015-101
MBE 2015-01-22
Kumamoto Kumamoto University Asynchronous-type BCI using motor imagery -- Training effect by the visual feedback --
Taisuke Matsuda, Tomohiko Igasaki, Nobuki Murayama (Kumamoto Univ) MBE2014-92
We have studied brain-computer interface (BCI) which operate a device using EEG. In this study, we examined training eff... [more] MBE2014-92
MBE 2015-01-22
Kumamoto Kumamoto University Relationship between biological signals and annoyance for white noise with pure tone
Yuuki Nagazoe, Tomohiko Igasaki, Nobuki Murayama (Kumamoto Univ.) MBE2014-93
In this study, we investigated relationship between annoyance and biological signals when subjects listen to white noise... [more] MBE2014-93
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