Manuel E. Hernandez

According to our database, Manuel E. Hernandez authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Editorial for the Special Issue on Sensors and Wearable Technologies in Sports Biomechanics.

Yih-Kuen Jan, Chi-Wen Lung, Ben-Yi Liau, Manuel E. Hernandez

Sensors, October, 2024

Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning.

Yang Hu, Mengyue Huang, Jonathan Cerna, Rachneet Kaur, Manuel E. Hernandez

Sensors, August, 2024

Application of a Neural ODE to Classify Motion Control Strategy using EEG.

Liran Ziegelman, Manuel E. Hernandez

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device.

Maxine He, Jonathan Cerna, Abdulrahman Alkurdi, Ayse Dogan, Jennifer Zhao, Jean L. Clore, Richard B. Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments.

Mehar Singh, Prithvi Prakash, Rachneet Kaur, Richard B. Sowers, James Robert Brasic, Manuel Enrique Hernandez

Sensors, November, 2023

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait.

Rachneet Kaur, Joshua Levy, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez

IEEE Trans. Biomed. Eng., July, 2023

A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach.

Rachneet Kaur, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez

IEEE J. Biomed. Health Informatics, 2023

Classification of fall risk across the lifespan using gait derived features from a wearable device.

Grainger Sasso, Lingxiao Mou, Manuel E. Hernandez

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease.

Prithvi Prakash, Rachneet Kaur, Joshua Levy, Richard B. Sowers, James R. Brasic, Manuel E. Hernandez

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Online classifier of AMICA model to evaluate state anxiety while standing in virtual reality.

Gekai Liao, Siwen Wang, Zijing Wei, Bohan Liu, Ryu Okubo, Manuel E. Hernandez

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning Approach.

Rachneet Kaur, Zizhang Chen, Robert W. Motl, Manuel E. Hernandez, Richard B. Sowers

IEEE Trans. Biomed. Eng., 2021

Designing a closed loop system to achieve real-time evaluation and manipulation of state anxiety while walking in virtual reality.

Siwen Wang, Ryu Okubo, Gekai Liao, Conrad Ku, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Feasibility of VR Technology in Eliciting State Anxiety Changes While Walking in Older Women.

Liran Ziegelman, Abdulrahman Alkurdi, Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Evaluation of Machine Learning Models for Classifying Upper Extremity Exercises Using Inertial Measurement Unit-Based Kinematic Data.

Andrew Hua, Pratik Chaudhari, Nicole Johnson, Joshua Quinton, Bruce R. Schatz, David Buchner, Manuel E. Hernandez

IEEE J. Biomed. Health Informatics, 2020

Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach.

Rachneet Kaur, Maxim Korolkov, Manuel E. Hernandez, Richard B. Sowers

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data.

Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multimodal classification of Parkinson's disease using delay differential analysis.

Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Howard Poizner, Terrence J. Sejnowski

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Using Virtual Reality to Examine the Neural and Physiological Anxiety-Related Responses to Balance-Demanding Target-Reaching Leaning Tasks.

Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing.

Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis.

Rachneet Kaur, Sanjana Menon, Xiaomiao Zhang, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance.

Rongyi Sun, Rachneet Kaur, Liran Ziegelman, Shuo Yang, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Neuromechanical Simulation of Hand Pronation and Supination Task in Parkinson's disease.

Liran Ziegelman, Yang Hu, Manuel E. Hernandez

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Virtual Reality, Visual Cliffs, and Movement Disorders.

Rachneet Kaur, Xun Lin, Alexander Layton, Manuel E. Hernandez, Richard B. Sowers

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016

Virtual reality applications in assessing the effect of anxiety on sensorimotor integration in human postural control.

Christopher Widdowson, Jatin Ganhotra, Mohammed Faizal, Marissa Wilko, Saurin Parikh, Zainulabidin Adhami, Manuel E. Hernandez

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Delay Differential Analysis of Electroencephalographic Data.

Claudia Lainscsek, Manuel E. Hernandez, Howard Poizner, Terrence J. Sejnowski

Neural Comput., 2015

2014

Muscle artifacts in single trial EEG data distinguish patients with Parkinson's disease from healthy individuals.

Jonathan Weyhenmeyer, Manuel E. Hernandez, Claudia Lainscsek, Terrence J. Sejnowski, Howard Poizner

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014