Electrocorticographic control of a prosthetic arm in paralyzed patients
…, H Kishima, K Matsushita, T Goto, R Fukuma… - Annals of …, 2012 - Wiley Online Library
Objective: Paralyzed patients may benefit from restoration of movement afforded by prosthetics
controlled by electrocorticography (ECoG). Although ECoG shows promising results in …
controlled by electrocorticography (ECoG). Although ECoG shows promising results in …
Real-time control of a prosthetic hand using human electrocorticography signals
Object A brain-machine interface (BMI) offers patients with severe motor disabilities greater
independence by controlling external devices such as prosthetic arms. Among the available …
independence by controlling external devices such as prosthetic arms. Among the available …
[HTML][HTML] Prediction of three-dimensional arm trajectories based on ECoG signals recorded from human sensorimotor cortex
Y Nakanishi, T Yanagisawa, D Shin, R Fukuma… - PloS one, 2013 - journals.plos.org
Brain-machine interface techniques have been applied in a number of studies to control
neuromotor prostheses and for neurorehabilitation in the hopes of providing a means to restore …
neuromotor prostheses and for neurorehabilitation in the hopes of providing a means to restore …
[HTML][HTML] Detection of epileptic seizures using phase–amplitude coupling in intracranial electroencephalography
K Edakawa, T Yanagisawa, H Kishima, R Fukuma… - Scientific reports, 2016 - nature.com
Seizure detection using intracranial electroencephalography (iEEG) contributes to improved
treatment of patients with refractory epilepsy. For that purpose, a feature of iEEG to …
treatment of patients with refractory epilepsy. For that purpose, a feature of iEEG to …
[HTML][HTML] Induced sensorimotor brain plasticity controls pain in phantom limb patients
T Yanagisawa, R Fukuma, B Seymour… - Nature …, 2016 - nature.com
The cause of pain in a phantom limb after partial or complete deafferentation is an important
problem. A popular but increasingly controversial theory is that it results from maladaptive …
problem. A popular but increasingly controversial theory is that it results from maladaptive …
[HTML][HTML] Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network
Identification of genotypes is crucial for treatment of glioma. Here, we developed a method
to predict tumor genotypes using a pretrained convolutional neural network (CNN) from …
to predict tumor genotypes using a pretrained convolutional neural network (CNN) from …
[HTML][HTML] Automatic diagnosis of neurological diseases using MEG signals with a deep neural network
The application of deep learning to neuroimaging big data will help develop computer-aided
diagnosis of neurological diseases. Pattern recognition using deep learning can extract …
diagnosis of neurological diseases. Pattern recognition using deep learning can extract …
[HTML][HTML] Real-time control of a neuroprosthetic hand by magnetoencephalographic signals from paralysed patients
R Fukuma, T Yanagisawa, Y Saitoh, K Hosomi… - Scientific reports, 2016 - nature.com
Neuroprosthetic arms might potentially restore motor functions for severely paralysed patients.
Invasive measurements of cortical currents using electrocorticography have been widely …
Invasive measurements of cortical currents using electrocorticography have been widely …
Decoding fingertip trajectory from electrocorticographic signals in humans
…, C Chen, H Kambara, N Yoshimura, R Fukuma… - Neuroscience …, 2014 - Elsevier
Seeking to apply brain–machine interface technology in neuroprosthetics, a number of
methods for predicting trajectory of the elbow and wrist have been proposed and have shown …
methods for predicting trajectory of the elbow and wrist have been proposed and have shown …
Neural decoding of electrocorticographic signals using dynamic mode decomposition
…, Y Kawahara, O Yamashita, R Fukuma… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Brain-computer interfaces (BCIs) using electrocorticographic (ECoG) signals
have been developed to restore the communication function of severely paralyzed patients. …
have been developed to restore the communication function of severely paralyzed patients. …