Ryan S. McGinnis

Orcid: 0000-0001-8396-6967

According to our database1, Ryan S. McGinnis authored at least 33 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health.
IEEE J. Biomed. Health Informatics, April, 2024

2023
Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Wearables-Only Analysis of Muscle and Joint Mechanics: An EMG-Driven Approach.
IEEE Trans. Biomed. Eng., 2022

Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits.
Sensors, 2022

How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway.
Sensors, 2022

Advancing Digital Medicine with Wearables in the Wild.
Sensors, 2022

UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.
IEEE J. Biomed. Health Informatics, 2021

Digital Phenotype for Childhood Internalizing Disorders: Less Positive Play and Promise for a Brief Assessment Battery.
IEEE J. Biomed. Health Informatics, 2021

Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks.
IEEE J. Biomed. Health Informatics, 2021

A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis.
Sensors, 2021

Adaptive Surface Electromyography Normalization for Long-Duration Recordings.
Proceedings of the 17th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2021

2020
Inertial Sensors - Applications and Challenges in a Nutshell.
Sensors, 2020

Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning.
Sensors, 2020

A Modular Open Source Health Monitoring Garment<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Modeling Muscle Synergies as a Gaussian Process: Estimating Unmeasured Muscle Excitations using a Measured Subset.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.
IEEE J. Biomed. Health Informatics, 2019

Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques.
Sensors, 2019

Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles.
Sensors, 2019

Mobile Biofeedback Therapy for the Treatment of Panic Attacks: A Pilot Feasibility Study.
Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

Remote Gait Analysis Using Wearable Sensors Detects Asymmetric Gait Patterns in Patients Recovering from ACL Reconstruction.
Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

2018
Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Wearable sensors capture differences in muscle activity and gait patterns during daily activity in patients recovering from ACL reconstruction.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

Wearable sensors and machine learning diagnose anxiety and depression in young children.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Movements Indicate Threat Response Phases in Children at Risk for Anxiety.
IEEE J. Biomed. Health Informatics, 2017

Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine.
Sensors, 2017

Inertial sensor and cluster analysis for discriminating agility run technique and quantifying changes across load.
Biomed. Signal Process. Control., 2017

2016
A wearable computing platform for developing cloud-based machine learning models for health monitoring applications.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Skin mounted accelerometer system for measuring knee range of motion.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures Used to Diagnose Femoroacetabular Impingement.
IEEE Trans. Biomed. Eng., 2015

2012
A Highly Miniaturized, Wireless Inertial Measurement Unit for Characterizing the Dynamics of Pitched Baseballs and Softballs.
Sensors, 2012


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