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Fall classification by machine learning using mobile phones

PloS one, 2012-05, Vol.7 (5), p.e36556-e36556

2012

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Creating an autoencoder single summary metric to assess gait quality to compare surgical outcomes in children with cerebral palsy: The Shriners Gait Index (SGI)

Journal of biomechanics, 2024-05, Vol.168, p.112092-112092, Article 112092

2024

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A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls

Journal of neuroengineering and rehabilitation, 2021-08, Vol.18 (1), p.124-124, Article 124

2021

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A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.2270

2023

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On the Role of LGN/V1 Spontaneous Activity as an Innate Learning Pattern for Visual Development

Frontiers in physiology, 2021-10, Vol.12, p.695431-695431

2021

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Using mobile phones for activity recognition in Parkinson's patients

Frontiers in neurology, 2012, Vol.3, p.158-158

2012

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Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial

Journal of neuroengineering and rehabilitation, 2021-05, Vol.18 (1), p.1-88, Article 88

2021

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Wii Fit Balance Board Playing Improves Balance and Gait in Parkinson Disease

PM & R, 2013-09, Vol.5 (9), p.769-777

2013

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Wearable airbag technology and machine learned models to mitigate falls after stroke

Journal of neuroengineering and rehabilitation, 2022-06, Vol.19 (1), p.1-60, Article 60

2022

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Anticipation of conflict monitoring in the anterior cingulate cortex and the prefrontal cortex

Proceedings of the National Academy of Sciences - PNAS, 2007-06, Vol.104 (25), p.10330-10334

2007

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Bridging Human Intelligence and Artificial Intelligence

1, 2022

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Monitoring functional capability of individuals with lower limb amputations using mobile phones

PloS one, 2013-06, Vol.8 (6), p.e65340-e65340

2013

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Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

Bioengineering (Basel), 2022-10, Vol.9 (10), p.572

2022

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AI‐organoid integrated systems for biomedical studies and applications

Bioengineering & translational medicine, 2024-03, Vol.9 (2), p.e10641-n/a

2024

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Feasibility of PROMIS using computerized adaptive testing during inpatient rehabilitation

Journal of patient-reported outcomes, 2023-05, Vol.7 (1), p.44-44, Article 44

2023

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Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response

Frontiers in medicine, 2021-03, Vol.8, p.645293-645293

2021

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Monitoring Daily Function in Persons With Transfemoral Amputations Using a Commercial Activity Monitor: A Feasibility Study

PM & R, 2014-12, Vol.6 (12), p.1120-1127

2014

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Innate visual learning through spontaneous activity patterns

PLoS computational biology, 2008-08, Vol.4 (8), p.e1000137-e1000137

2008

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Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi

Journal of cognitive neuroscience, 2005-08, Vol.17 (8), p.1261-1274

2005

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Hidden Markov model-based activity recognition for toddlers

Physiological measurement, 2020-02, Vol.41 (2), p.025003

2020

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Predicting UPDRS Motor Symptoms in Individuals With Parkinson's Disease From Force Plates Using Machine Learning

IEEE journal of biomedical and health informatics, 2022-07, Vol.26 (7), p.3486-3494

2022

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Hand, belt, pocket or bag: Practical activity tracking with mobile phones

Journal of neuroscience methods, 2014-07, Vol.231, p.22-30

2014

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Molecular Dynamics Simulations of the Interior of Aqueous Reverse Micelles: A Comparison between Sodium and Potassium Counterions

Langmuir, 2003-03, Vol.19 (6), p.2514-2520

2003

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Activity Recognition for Incomplete Spinal Cord Injury Subjects Using Hidden Markov Models

IEEE sensors journal, 2018-08, Vol.18 (15), p.6369-6374

2018

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In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury

Journal of neuroengineering and rehabilitation, 2017-02, Vol.14 (1), p.10-10, Article 10

2017

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Fall classification by machine learning using mobile phones

Creating an autoencoder single summary metric to assess gait quality to compare surgical outcomes in children with cerebral palsy: The Shriners Gait Index (SGI)

A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls

A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson

On the Role of LGN/V1 Spontaneous Activity as an Innate Learning Pattern for Visual Development

Using mobile phones for activity recognition in Parkinson's patients

Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial

Wii Fit Balance Board Playing Improves Balance and Gait in Parkinson Disease

Wearable airbag technology and machine learned models to mitigate falls after stroke

Anticipation of conflict monitoring in the anterior cingulate cortex and the prefrontal cortex

Bridging Human Intelligence and Artificial Intelligence

Monitoring functional capability of individuals with lower limb amputations using mobile phones

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

AI‐organoid integrated systems for biomedical studies and applications

Feasibility of PROMIS using computerized adaptive testing during inpatient rehabilitation

Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response

Monitoring Daily Function in Persons With Transfemoral Amputations Using a Commercial Activity Monitor: A Feasibility Study

Innate visual learning through spontaneous activity patterns

Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi

Hidden Markov model-based activity recognition for toddlers

Predicting UPDRS Motor Symptoms in Individuals With Parkinson's Disease From Force Plates Using Machine Learning

Hand, belt, pocket or bag: Practical activity tracking with mobile phones

Molecular Dynamics Simulations of the Interior of Aqueous Reverse Micelles: A Comparison between Sodium and Potassium Counterions

Activity Recognition for Incomplete Spinal Cord Injury Subjects Using Hidden Markov Models

In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury

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