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Melanoma segmentation using deep learning with test-time augmentations and conditional random fields

Scientific reports, 2022-03, Vol.12 (1), p.3948-3948, Article 3948

2022

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The validity of smartphone-based spatiotemporal gait measurements during walking with and without head turns: Comparison with the GAITRite® system

Journal of biomechanics, 2024-01, Vol.162, p.111899-111899, Article 111899

2024

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EEG signatures change during unilateral Yogi nasal breathing

Scientific reports, 2022-01, Vol.12 (1), p.520-13, Article 520

2022

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Reliability of ankle dorsiflexor muscle strength, rate of force development, and tibialis anterior electromyography after stroke [version 2; peer review: 2 approved with reservations]

F1000 research, 2023-01, Vol.12, p.423

2023

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An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299

Sensors (Basel, Switzerland), 2018-11, Vol.18 (11), p.3721

2018

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Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

Sensors (Basel, Switzerland), 2018-08, Vol.18 (8), p.2497

2018

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Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1642

2020

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Editorial: Signal Processing for Brain-Computer Interfaces-Special Issue

Sensors (Basel, Switzerland), 2024-02, Vol.24 (4), p.1201

2024

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Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticity

The Journal of physiology, 2012-04, Vol.590 (7), p.1669-1682

2012

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Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

Journal of neurophysiology, 2016-03, Vol.115 (3), p.1410-1421

2016

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A retrospective analysis of the incidence of severe adverse events among recipients of chiropractic spinal manipulative therapy

Scientific reports, 2023-01, Vol.13 (1), p.1254-9, Article 1254

2023

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Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG

Journal of neural engineering, 2015-10, Vol.12 (5), p.056013-056013

2015

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Non-Linear Adapted Spatio-Temporal Filter for Single-Trial Identification of Movement-Related Cortical Potential

Electronics (Basel), 2023-03, Vol.12 (5), p.1246

2023

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The contemporary model of vertebral column joint dysfunction and impact of high-velocity, low-amplitude controlled vertebral thrusts on neuromuscular function

European journal of applied physiology, 2021-10, Vol.121 (10), p.2675-2720

2021

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Exploring the Potential of Machine Learning for the Diagnosis of Balance Disorders Based on Centre of Pressure Analyses

Sensors (Basel, Switzerland), 2022-11, Vol.22 (23), p.9200

2022

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Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6274

2021

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Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1676

2022

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Assessing Gait & Balance in Adults with Mild Balance Impairment: G&B App Reliability and Validity

Sensors (Basel, Switzerland), 2023-12, Vol.23 (24), p.9718

2023

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Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective

Electronics (Basel), 2022-09, Vol.11 (17), p.2676

2022

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A Cross-Day Analysis of EMG Features, Classifiers, and Regressors for Swallowing Events Detection and Fluid Intake Volume Estimation

Sensors (Basel, Switzerland), 2023-10, Vol.23 (21), p.8789

2023

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A randomized controlled trial comparing different sites of high-velocity low amplitude thrust on sensorimotor integration parameters

Scientific reports, 2024-01, Vol.14 (1), p.1159-1159, Article 1159

2024

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The Variability of Psychophysical Parameters Following Surface and Subdermal Stimulation: A Multiday Study in Amputees

IEEE transactions on neural systems and rehabilitation engineering, 2020-01, Vol.28 (1), p.174-180

2020

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Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

IEEE access, 2020, Vol.8, p.167830-167864

2020

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Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked Potentials

IEEE transactions on neural systems and rehabilitation engineering, 2012-07, Vol.20 (4), p.595-604

2012

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Detection of movement intention from single-trial movement-related cortical potentials

Journal of neural engineering, 2011-12, Vol.8 (6), p.066009-066009

2011

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Melanoma segmentation using deep learning with test-time augmentations and conditional random fields

The validity of smartphone-based spatiotemporal gait measurements during walking with and without head turns: Comparison with the GAITRite® system

EEG signatures change during unilateral Yogi nasal breathing

Reliability of ankle dorsiflexor muscle strength, rate of force development, and tibialis anterior electromyography after stroke [version 2; peer review: 2 approved with reservations]

An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299

Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG

Editorial: Signal Processing for Brain-Computer Interfaces-Special Issue

Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticity

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

A retrospective analysis of the incidence of severe adverse events among recipients of chiropractic spinal manipulative therapy

Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG

Non-Linear Adapted Spatio-Temporal Filter for Single-Trial Identification of Movement-Related Cortical Potential

The contemporary model of vertebral column joint dysfunction and impact of high-velocity, low-amplitude controlled vertebral thrusts on neuromuscular function

Exploring the Potential of Machine Learning for the Diagnosis of Balance Disorders Based on Centre of Pressure Analyses

Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network

Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees

Assessing Gait & Balance in Adults with Mild Balance Impairment: G&B App Reliability and Validity

Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective

A Cross-Day Analysis of EMG Features, Classifiers, and Regressors for Swallowing Events Detection and Fluid Intake Volume Estimation

A randomized controlled trial comparing different sites of high-velocity low amplitude thrust on sensorimotor integration parameters

The Variability of Psychophysical Parameters Following Surface and Subdermal Stimulation: A Multiday Study in Amputees

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked Potentials

Detection of movement intention from single-trial movement-related cortical potentials

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