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Real-time strap pressure sensor system for powered exoskeletons

Sensors (Basel, Switzerland), 2015-02, Vol.15 (2), p.4550-4563

2015

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Characterization and real-time removal of motion artifacts from EEG signals

Journal of neural engineering, 2019-09, Vol.16 (5), p.056027-056027

2019

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High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013-01, Vol.2013, p.5606-5609

2013

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A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements

Journal of neural engineering, 2016-04, Vol.13 (2), p.026013-026013

2016

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Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals

Frontiers in neuroscience, 2017-04, Vol.11, p.170-170

2017

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Compensation of hysteresis in a shape memory alloy wire system using linear parameter-varying gain scheduling control

IET control theory & applications, 2014-11, Vol.8 (17), p.1875-1885

2014

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Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution

Frontiers in neuroscience, 2014-11, Vol.8, p.376-376

2014

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Design of a customizable, modular pediatric exoskeleton for rehabilitation and mobility

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, p.2411-2416

2019

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A Translational Roadmap for a Brain-Machine-Interface (BMI) System for Rehabilitation

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, p.3613-3618

2019

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Human‐Centered Design of Wearable Neuroprostheses and Exoskeletons

The AI magazine, 2015-12, Vol.36 (4), p.12-22

2015

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Modeling and Hysteresis Compensation in a Thin SMA Wire Using ANFIS Methods

Journal of intelligent material systems and structures, 2011-01, Vol.22 (1), p.45-57

2011

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Simultaneous scalp electroencephalography (EEG), electromyography (EMG), and whole-body segmental inertial recording for multi-modal neural decoding

Journal of visualized experiments, 2013-07 (77)

2013

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Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Journal of visualized experiments, 2013-07 (77)

2013

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Towards a Unified Framework for De-noising Neural Signals

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.620-623

2019

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Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.3046-3049

2019

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Robust gain scheduling control with applications in smart materials and biomedical robotics

Kilicarslan, Atilla

2010

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Full characterization and removal of motion artifacts from scalp EEG recordings

2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob), 2017, p.1-1

2017

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Design and analysis of a prototype haptic device for cardiovascular interventions

Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010, p.1-5

2010

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Towards a Portable Magnetoencephalography Based Brain Computer Interface with Optically-Pumped Magnetometers

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.3420-3423

2020

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Development of a pediatric lower-extremity gait system

2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob), 2017, p.1-1

2017

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Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013-01, Vol.2013, p.6341-6344

2013

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Implementation of a force-feedback interface for robotic assisted interventions with real-time MRI guidance

2013 IEEE International Conference on Robotics and Automation, 2013, p.4869-4874

2013

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Neuro-Robotics: Rehabilitation and Restoration of Walking Using Exoskeletons via Non-invasive Brain–Machine Interfaces

Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury, p.143-166

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Dynamics of 1/fβ Processes

Kılıçarslan, Atilla

1991

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Factors Affecting Complication Rates of Percutaneous Nephrolithotomy in Children: Results of a Multi-Institutional Retrospective Analysis by the Turkish Pediatric Urology Society

The Journal of urology, 2014-03, Vol.191 (3), p.777-782

2014

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Real-time strap pressure sensor system for powered exoskeletons

Characterization and real-time removal of motion artifacts from EEG signals

High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton

A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements

Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals

Compensation of hysteresis in a shape memory alloy wire system using linear parameter-varying gain scheduling control

Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution

Design of a customizable, modular pediatric exoskeleton for rehabilitation and mobility

A Translational Roadmap for a Brain-Machine-Interface (BMI) System for Rehabilitation

Human‐Centered Design of Wearable Neuroprostheses and Exoskeletons

Modeling and Hysteresis Compensation in a Thin SMA Wire Using ANFIS Methods

Simultaneous scalp electroencephalography (EEG), electromyography (EMG), and whole-body segmental inertial recording for multi-modal neural decoding

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Towards a Unified Framework for De-noising Neural Signals

Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks

Robust gain scheduling control with applications in smart materials and biomedical robotics

Full characterization and removal of motion artifacts from scalp EEG recordings

Design and analysis of a prototype haptic device for cardiovascular interventions

Towards a Portable Magnetoencephalography Based Brain Computer Interface with Optically-Pumped Magnetometers

Development of a pediatric lower-extremity gait system

Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction

Implementation of a force-feedback interface for robotic assisted interventions with real-time MRI guidance

Neuro-Robotics: Rehabilitation and Restoration of Walking Using Exoskeletons via Non-invasive Brain–Machine Interfaces

Dynamics of 1/fβ Processes

Factors Affecting Complication Rates of Percutaneous Nephrolithotomy in Children: Results of a Multi-Institutional Retrospective Analysis by the Turkish Pediatric Urology Society

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