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Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

Scientific reports, 2020-04, Vol.10 (1), p.6769-6769, Article 6769

2020

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Inflated prediction accuracy of neuropsychiatric biomarkers caused by data leakage in feature selection

Scientific reports, 2021-04, Vol.11 (1), p.7980-7980, Article 7980

2021

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Improving the Robustness of Myoelectric Pattern Recognition for Upper Limb Prostheses by Covariate Shift Adaptation

IEEE transactions on neural systems and rehabilitation engineering, 2016-09, Vol.24 (9), p.961-970

2016

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Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing

PloS one, 2017-11, Vol.12 (11), p.e0186318-e0186318

2017

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Open Access Dataset for EEG+NIRS Single-Trial Classification

IEEE transactions on neural systems and rehabilitation engineering, 2017-10, Vol.25 (10), p.1735-1745

2017

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Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface

IEEE transactions on neural systems and rehabilitation engineering, 2020-10, Vol.28 (10), p.2102-2112

2020

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Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic

Scientific reports, 2016-11, Vol.6 (1), p.36203-36203, Article 36203

2016

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Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces

IEEE transactions on neural systems and rehabilitation engineering, 2018-02, Vol.26 (2), p.334-343

2018

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Eyes-closed hybrid brain-computer interface employing frontal brain activation

PloS one, 2018-05, Vol.13 (5), p.e0196359-e0196359

2018

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Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders

Scientific reports, 2023-10, Vol.13 (1), p.16633-16633, Article 16633

2023

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Classification of Bipolar Disorder and Schizophrenia Using Steady-State Visual Evoked Potential Based Features

IEEE access, 2018-01, Vol.6, p.40379-40388

2018

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Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses

Sensors (Basel, Switzerland), 2018-06, Vol.18 (6), p.1827

2018

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Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape

Frontiers in physiology, 2019-09, Vol.10, p.1193-1193

2019

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Brain-Switches for Asynchronous Brain–Computer Interfaces: A Systematic Review

Electronics (Basel), 2020-03, Vol.9 (3), p.422

2020

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Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces

Journal of biomedical optics, 2014, Vol.19 (7), p.077005-077005

2014

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Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG

Frontiers in neuroscience, 2019-08, Vol.13, p.822-822

2019

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On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface

Sensors (Basel, Switzerland), 2018-08, Vol.18 (9), p.2856

2018

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Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control

IEEE transactions on neural systems and rehabilitation engineering, 2015-07, Vol.23 (4), p.618-627

2015

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An artificial neural-network approach to identify motor hotspot for upper-limb based on electroencephalography: a proof-of-concept study

Journal of neuroengineering and rehabilitation, 2021-12, Vol.18 (1), p.176-176, Article 176

2021

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Author Correction: Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

Scientific reports, 2020-07, Vol.10 (1), p.11518-11518, Article 11518

2020

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A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors

Analytical methods, 2022-12, Vol.14 (46), p.4749-4755

2022

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Impaired functional cortical networks in the theta frequency band of patients with post-traumatic stress disorder during auditory-cognitive processing

Frontiers in psychiatry, 2022-08, Vol.13, p.811766-811766

2022

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Movement-in-a-Video Detection Scheme for Sign Language Gesture Recognition Using Neural Network

Applied sciences, 2022-10, Vol.12 (20), p.10542

2022

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Editorial: AI-Based Computer-Aided Diagnosis and Prognosis for Psychiatric Disorders

Frontiers in human neuroscience, 2022-04, Vol.16, p.901525-901525

2022

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Evaluation of a Compact Hybrid Brain-Computer Interface System

BioMed research international, 2017-01, Vol.2017 (2017), p.1-11

2017

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Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

Inflated prediction accuracy of neuropsychiatric biomarkers caused by data leakage in feature selection

Improving the Robustness of Myoelectric Pattern Recognition for Upper Limb Prostheses by Covariate Shift Adaptation

Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing

Open Access Dataset for EEG+NIRS Single-Trial Classification

Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface

Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic

Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces

Eyes-closed hybrid brain-computer interface employing frontal brain activation

Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders

Classification of Bipolar Disorder and Schizophrenia Using Steady-State Visual Evoked Potential Based Features

Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses

Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape

Brain-Switches for Asynchronous Brain–Computer Interfaces: A Systematic Review

Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces

Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG

On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface

Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control

An artificial neural-network approach to identify motor hotspot for upper-limb based on electroencephalography: a proof-of-concept study

Author Correction: Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors

Impaired functional cortical networks in the theta frequency band of patients with post-traumatic stress disorder during auditory-cognitive processing

Movement-in-a-Video Detection Scheme for Sign Language Gesture Recognition Using Neural Network

Editorial: AI-Based Computer-Aided Diagnosis and Prognosis for Psychiatric Disorders

Evaluation of a Compact Hybrid Brain-Computer Interface System

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