Ryan S. McGinnis
Orcid: 0000-0001-8396-6967
According to our database1,
Ryan S. McGinnis
authored at least 38 papers
between 2012 and 2024.
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Online presence:
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Bibliography
2024
Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges.
Sensors, May, 2024
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health.
IEEE J. Biomed. Health Informatics, April, 2024
CoRR, 2024
Nightly Heart Rate Variability as a Biomarker of Mental Health Changes in College Students.
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024
Longitudinal Profiles of Heart Rate Variability in First-Year College Students Using Wearables.
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024
2023
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
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
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
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
Proceedings of the 17th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2021
2020
Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning.
Sensors, 2020
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
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
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