Ryohei Fukuma
Osaka University
50 Papers
43 Citations
Ryohei Fukuma is an academic researcher from Osaka University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 11, co-authored 30 publications. Previous affiliations of Ryohei Fukuma include Nara Institute of Science and Technology.
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Papers
Electrocorticographic control of a prosthetic arm in paralyzed patients
Takufumi Yanagisawa,Masayuki Hirata,Youichi Saitoh,Haruhiko Kishima,Kojiro Matsushita,Tetsu Goto,Ryohei Fukuma,Hiroshi Yokoi,Yukiyasu Kamitani,Toshiki Yoshimine +9 more
TL;DR: It is unclear whether ECoG signals recorded from chronically paralyzed patients provide sufficient motor information, and if they do, whether they can be applied to control a prosthetic.
270
Real-time control of a prosthetic hand using human electrocorticography signals: Technical note
Takufumi Yanagisawa,Masayuki Hirata,Youichi Saitoh,Tetsu Goto,Haruhiko Kishima,Ryohei Fukuma,Hiroshi Yokoi,Yukiyasu Kamitani,Toshiki Yoshimine +8 more
TL;DR: An integrated BMI system for the control of a prosthetic hand using ECoG signals in a patient who had suffered a stroke successfully decoded the hand movements of a poststroke patient and controlled a prosthetics hand in real time, paving the way for the restoration of the patient's motor function.
219
Detection of Epileptic Seizures Using Phase–Amplitude Coupling in Intracranial Electroencephalography
Kohtaroh Edakawa,Takufumi Yanagisawa,Haruhiko Kishima,Ryohei Fukuma,Satoru Oshino,Hui Ming Khoo,Maki Kobayashi,Masataka Tanaka,Toshiki Yoshimine +8 more
TL;DR: The use of phase–amplitude coupling of iEEG signals of the ictal state was successfully detected with significantly higher accuracy than by using the amplitude of high γ alone, and PAC accurately distinguished the ictsal state from the interictal states.
103
Induced sensorimotor brain plasticity controls pain in phantom limb patients
Takufumi Yanagisawa,Ryohei Fukuma,Ben Seymour,Koichi Hosomi,Haruhiko Kishima,Takeshi Shimizu,Hiroshi Yokoi,Masayuki Hirata,Toshiki Yoshimine,Yukiyasu Kamitani,Youichi Saitoh +10 more
TL;DR: A brain–machine interface based on real-time magnetoencephalography signals is used to reconstruct affected hand movements with a robotic hand to reveal a functional relevance between sensorimotor cortical plasticity and pain, and may provide a novel treatment with BMI neurofeedback.
Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network.
Ryohei Fukuma,Takufumi Yanagisawa,Manabu Kinoshita,Takashi Shinozaki,Takashi Shinozaki,Hideyuki Arita,Hideyuki Arita,Atsushi Kawaguchi,Masamichi Takahashi,Yoshitaka Narita,Yuzo Terakawa,Naohiro Tsuyuguchi,Yoshiko Okita,Masahiro Nonaka,Shusuke Moriuchi,Masatoshi Takagaki,Yasunori Fujimoto,Junya Fukai,Shuichi Izumoto,Kenichi Ishibashi,Yoshikazu Nakajima,Tomoko Shofuda,Daisuke Kanematsu,Ema Yoshioka,Yoshinori Kodama,Masayuki Mano,Kanji Mori,Koichi Ichimura,Yonehiro Kanemura,Haruhiko Kishima +29 more
TL;DR: The pretrained CNN texture features capture the information of IDH and TERT genotypes in grade II/III gliomas better than the conventional radiomic features.