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Takenao Sugi

Showing results (1-10 of 10) with videos related to

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Journal of Electrocardiology|February 21, 2025
ECG based human activity-specific cardiac pattern detection using machine-learning and deep-learning modelsKusum Tara, Md Hasibul Islam, Takenao Sugi
Frontiers of Medical and Biological Engineering : the International Journal of the Japan Society of Medical Electronics and Biological Engineering|May 9, 2003
Adaptive EEG spike detection: determination of threshold values based on conditional probabilityTakenao Sugi, Masatoshi Nakamura, Akio Ikeda, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 7, 2023
A Developed LSTM-Ladder-Network-Based Model for Sleep Stage ClassificationRuichen Li, Bei Wang, Tao Zhang, et al.
Medical Engineering & Physics|December 18, 2004
Technical quality evaluation of EEG recording based on electroencephalographers' knowledgeMasatoshi Nakamura, Qian Chen, Takenao Sugi, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|February 25, 2014
Automatic interpretation and writing report of the adult waking electroencephalogramHiroshi Shibasaki, Masatoshi Nakamura, Takenao Sugi, et al.
Medical & Biological Engineering & Computing|October 13, 2010
Automatic interpretation of hyperventilation-induced electroencephalogram constructed in the way of qualified electroencephalographer's visual inspectionXiu Zhang, Xingyu Wang, Takenao Sugi, et al.
Journal of Neuroscience Methods|August 15, 2025
EEG-based cerebral pattern analysis for neurological disorder detection via hybrid machine and deep learning approachesKusum Tara, Ruimin Wang, Yoshitaka Matsuda, et al.
Methods (San Diego, Calif.)|July 27, 2025
Bio-impedance spectroscopy-based classification of mental acuity in university students via machine-learning and deep-learning approachesKusum Tara, Sadman Sakib, Md Hasibul Islam, et al.
IEEE Transactions on Bio-Medical Engineering|May 31, 2011
An automatic spike detection system based on elimination of false positives using the large-area context in the scalp EEGZhanfeng Ji, Takenao Sugi, Satoru Goto, et al.
Clinical EEG and Neuroscience|October 4, 2024
Electroencephalography can Ubiquitously Delineate the Brain Dysfunction of Neurodegenerative Dementia by Both Visual and Automatic Analysis Methods: A Preliminary StudyKei Sato, Takefumi Hitomi, Katsuya Kobayashi, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Electrocardiology|February 21, 2025
ECG based human activity-specific cardiac pattern detection using machine-learning and deep-learning modelsKusum Tara, Md Hasibul Islam, Takenao Sugi
Frontiers of Medical and Biological Engineering : the International Journal of the Japan Society of Medical Electronics and Biological Engineering|May 9, 2003
Adaptive EEG spike detection: determination of threshold values based on conditional probabilityTakenao Sugi, Masatoshi Nakamura, Akio Ikeda, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 7, 2023
A Developed LSTM-Ladder-Network-Based Model for Sleep Stage ClassificationRuichen Li, Bei Wang, Tao Zhang, et al.
Medical Engineering & Physics|December 18, 2004
Technical quality evaluation of EEG recording based on electroencephalographers' knowledgeMasatoshi Nakamura, Qian Chen, Takenao Sugi, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|February 25, 2014
Automatic interpretation and writing report of the adult waking electroencephalogramHiroshi Shibasaki, Masatoshi Nakamura, Takenao Sugi, et al.
Medical & Biological Engineering & Computing|October 13, 2010
Automatic interpretation of hyperventilation-induced electroencephalogram constructed in the way of qualified electroencephalographer's visual inspectionXiu Zhang, Xingyu Wang, Takenao Sugi, et al.
Journal of Neuroscience Methods|August 15, 2025
EEG-based cerebral pattern analysis for neurological disorder detection via hybrid machine and deep learning approachesKusum Tara, Ruimin Wang, Yoshitaka Matsuda, et al.
Methods (San Diego, Calif.)|July 27, 2025
Bio-impedance spectroscopy-based classification of mental acuity in university students via machine-learning and deep-learning approachesKusum Tara, Sadman Sakib, Md Hasibul Islam, et al.
IEEE Transactions on Bio-Medical Engineering|May 31, 2011
An automatic spike detection system based on elimination of false positives using the large-area context in the scalp EEGZhanfeng Ji, Takenao Sugi, Satoru Goto, et al.
Clinical EEG and Neuroscience|October 4, 2024
Electroencephalography can Ubiquitously Delineate the Brain Dysfunction of Neurodegenerative Dementia by Both Visual and Automatic Analysis Methods: A Preliminary StudyKei Sato, Takefumi Hitomi, Katsuya Kobayashi, et al.
Pageof 1