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Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke

Frontiers in neuroengineering, 2014-07, Vol.7, p.30-30

2014

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Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

IEEE transactions on biomedical engineering, 2020-03, Vol.67 (3), p.786-795

2020

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A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke

Clinical EEG and neuroscience, 2015-10, Vol.46 (4), p.310-320

2015

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Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients

IEEE transactions on neural systems and rehabilitation engineering, 2022, Vol.30, p.1401-1411

2022

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Current clinical practice in managing somatosensory impairments and the use of technology in stroke rehabilitation

PloS one, 2022-08, Vol.17 (8), p.e0270693-e0270693

2022

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Autonomous modeling of repetitive movement for rehabilitation exercise monitoring

BMC medical informatics and decision making, 2022-07, Vol.22 (1), p.1-175, Article 175

2022

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Mobile Robotic Balance Assistant (MRBA): a gait assistive and fall intervention robot for daily living

Journal of neuroengineering and rehabilitation, 2023-03, Vol.20 (1), p.29-29, Article 29

2023

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A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface

Clinical EEG and neuroscience, 2011-10, Vol.42 (4), p.253-258

2011

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An Asian-centric human movement database capturing activities of daily living

Scientific data, 2020-09, Vol.7 (1), p.290-290, Article 290

2020

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Neurorehabilitation From a Distance: Can Intelligent Technology Support Decentralized Access to Quality Therapy?

Frontiers in robotics and AI, 2021-05, Vol.8, p.612415-612415

2021

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Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement

Neural computing & applications, 2017, Vol.28 (11), p.3259-3272

2017

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Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial

Pilot and feasibility studies, 2021-11, Vol.7 (1), p.1-207, Article 207

2021

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Camera-based Hand Tracking using a Mirror-based Multi-view Setup

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.5789-5793

2020

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Innovating With Rehabilitation Technology in the Real World: Promises, Potentials, and Perspectives

American journal of physical medicine & rehabilitation, 2017-10, Vol.96 (10 Suppl 1), p.S150-S156

2017

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Managing Somatosensory Impairments in Stroke: Current Clinical Practice and The Use of Technology

Archives of physical medicine and rehabilitation, 2022-12, Vol.103 (12), p.e192-e193

2022

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Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke

Neurorehabilitation and neural repair, 2013-01, Vol.27 (1), p.53-62

2013

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Deep Phenotyping of Upper Limb Sensorimotor Recovery in Asian Stroke Survivors: A Study Protocol

Archives of physical medicine and rehabilitation, 2023-03, Vol.104 (3), p.e21-e22

2023

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Wireless Pressure Sensor Array Module for Sensorized Object

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-5

2023

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Unsupervised phase learning and extraction from quasiperiodic multidimensional time-series data

Applied soft computing, 2020-08, Vol.93, p.106386, Article 106386

2020

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Hand and Object Segmentation from Depth Image using Fully Convolutional Network

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.2082-2086

2019

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A feasibility study using interactive commercial off-the-shelf computer gaming in upper limb rehabilitation in patients after stroke

Journal of rehabilitation medicine, 2010-05, Vol.42 (5), p.437-441

2010

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Normative and Stroke Human Movement Database: Potential For Predicting Recovery

Archives of physical medicine and rehabilitation, 2020-11, Vol.101 (11), p.e68-e68

2020

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Role of EMG as a complementary tool for assessment of motor impairment

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2016, p.692-697

2016

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A Physio-Neuro Approach to Accelerate Functional Recovery of Impaired Hand after Stroke

Procedia engineering, 2012, Vol.41, p.257-263

2012

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A feasibility study of non-invasive motor-imagery BCI-based robotic rehabilitation for Stroke patients

2009 4th International IEEE/EMBS Conference on Neural Engineering, 2009, p.271-274

2009

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Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke

Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke

Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients

Current clinical practice in managing somatosensory impairments and the use of technology in stroke rehabilitation

Autonomous modeling of repetitive movement for rehabilitation exercise monitoring

Mobile Robotic Balance Assistant (MRBA): a gait assistive and fall intervention robot for daily living

A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface

An Asian-centric human movement database capturing activities of daily living

Neurorehabilitation From a Distance: Can Intelligent Technology Support Decentralized Access to Quality Therapy?

Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement

Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial

Camera-based Hand Tracking using a Mirror-based Multi-view Setup

Innovating With Rehabilitation Technology in the Real World: Promises, Potentials, and Perspectives

Managing Somatosensory Impairments in Stroke: Current Clinical Practice and The Use of Technology

Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke

Deep Phenotyping of Upper Limb Sensorimotor Recovery in Asian Stroke Survivors: A Study Protocol

Wireless Pressure Sensor Array Module for Sensorized Object

Unsupervised phase learning and extraction from quasiperiodic multidimensional time-series data

Hand and Object Segmentation from Depth Image using Fully Convolutional Network

A feasibility study using interactive commercial off-the-shelf computer gaming in upper limb rehabilitation in patients after stroke

Normative and Stroke Human Movement Database: Potential For Predicting Recovery

Role of EMG as a complementary tool for assessment of motor impairment

A Physio-Neuro Approach to Accelerate Functional Recovery of Impaired Hand after Stroke

A feasibility study of non-invasive motor-imagery BCI-based robotic rehabilitation for Stroke patients

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