A Highly Miniaturized, Wireless Inertial Measurement Unit for Characterizing the Dynamics of Pitched Baseballs and Softballs. - Ryan S. McGinnis; Noel C. Perkins (Sensors, 2012)

Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures Used to Diagnose Femoroacetabular Impingement. - Ryan S. McGinnis; Stephen M. Cain; Sui Tao; David Whiteside; Grant C. Goulet; Elizabeth C. Gardner; Asheesh Bedi; Noel C. Perkins (IEEE Trans. Biomed. Eng., 2015)

Skin mounted accelerometer system for measuring knee range of motion. - Ryan S. McGinnis; Shyamal Patel; Ikaro Silva; Nikhil Mahadevan; Steve DiCristofaro; Elise Jortberg; Melissa Ceruolo; A. J. Aranyosi (EMBC, 2016)

A wearable computing platform for developing cloud-based machine learning models for health monitoring applications. - Shyamal Patel; Ryan S. McGinnis; Ikaro Silva; Steve DiCristofaro; Nikhil Mahadevan; Elise Jortberg; Jaime Franco; Albert Martin; Joseph Lust; Milan Raj; Bryan McGrane; Paolo DePetrillo; et al. (EMBC, 2016)

Inertial sensor and cluster analysis for discriminating agility run technique and quantifying changes across load. - Ryan S. McGinnis; Stephen M. Cain; Steven P. Davidson; Rachel V. Vitali; Scott G. McLean; Noel C. Perkins (Biomed. Signal Process. Control., 2017)

Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine. - Rachel V. Vitali; Stephen M. Cain; Ryan S. McGinnis; Antonia M. Zaferiou; Lauro V. Ojeda; Steven P. Davidson; Noel C. Perkins (Sensors, 2017)

Movements Indicate Threat Response Phases in Children at Risk for Anxiety. - Ellen W. McGinnis; Ryan S. McGinnis; Maria Muzik; Jessica Hruschak; Nestor L. Lopez-Duran; Noel C. Perkins; Kate Fitzgerald; Katherine L. Rosenblum (IEEE J. Biomed. Health Informatics, 2017)

Wearable sensors and machine learning diagnose anxiety and depression in young children. - Ryan S. McGinnis; Ellen W. McGinnis; Jessica Hruschak; Nestor L. Lopez-Duran; Kate Fitzgerald; Katherine L. Rosenblum; Maria Muzik (BHI, 2018)

Wearable sensors capture differences in muscle activity and gait patterns during daily activity in patients recovering from ACL reconstruction. - Ryan S. McGinnis; Javier B. Redrado; Rebecca H. Choquette; Bruce D. Beynnon; James R. Slauterbeck; Timothy W. Tourville; Michael J. Toth (BSN, 2018)

Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning. - Ryan S. McGinnis; Ellen W. McGinnis; Jessica Hruschak; Nestor L. Lopez-Duran; Kate Fitzgerald; Katherine L. Rosenblum; Maria Muzik (EMBC, 2018)

Remote Gait Analysis Using Wearable Sensors Detects Asymmetric Gait Patterns in Patients Recovering from ACL Reconstruction. - Reed D. Gurchiek; Rebecca H. Choquette; Bruce D. Beynnon; James R. Slauterbeck; Timothy W. Tourville; Michael J. Toth; Ryan S. McGinnis (BSN, 2019)

Mobile Biofeedback Therapy for the Treatment of Panic Attacks: A Pilot Feasibility Study. - Ryan S. McGinnis; Ellen W. McGinnis; Christopher J. Petrillo; Matthew Price (BSN, 2019)

Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles. - Lukas Adamowicz; Reed D. Gurchiek; Jonathan Ferri; Anna T. Ursiny; Niccolo M. Fiorentino; Ryan S. McGinnis (Sensors, 2019)

Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques. - Reed D. Gurchiek; Nick Cheney; Ryan S. McGinnis (Sensors, 2019)

Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood. - Ellen W. McGinnis; Steven P. Anderau; Jessica Hruschak; Reed D. Gurchiek; Nestor L. Lopez-Duran; Kate Fitzgerald; Katherine L. Rosenblum; Maria Muzik; Ryan S. McGinnis (IEEE J. Biomed. Health Informatics, 2019)

Modeling Muscle Synergies as a Gaussian Process: Estimating Unmeasured Muscle Excitations using a Measured Subset. - Reed D. Gurchiek; Anna T. Ursiny; Ryan S. McGinnis (EMBC, 2020)

A Modular Open Source Health Monitoring Garment*. - Blake Hewgill; Ryan S. McGinnis; Jeff Frolik (EMBC, 2020)

Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning. - Kristin McClure; Brett Erdreich; Jason H. T. Bates; Ryan S. McGinnis; Axel Masquelin; Safwan Wshah (Sensors, 2020)

Inertial Sensors - Applications and Challenges in a Nutshell. - Thomas Seel; Manon Kok; Ryan S. McGinnis (Sensors, 2020)

Adaptive Surface Electromyography Normalization for Long-Duration Recordings. - Samantha R. Fox; Reed D. Gurchiek; Anna T. Ursiny; Brett M. Meyer; Julianne M. Boughton; Ryan S. McGinnis (BSN, 2021)

A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis. - Lara Weed; Casey Little; Susan L. Kasser; Ryan S. McGinnis (Sensors, 2021)

Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks. - Ryan S. McGinnis; Ellen W. McGinnis; Christopher J. Petrillo; Jonathan Ferri; Jordyn Scism; Matthew Price (IEEE J. Biomed. Health Informatics, 2021)

Digital Phenotype for Childhood Internalizing Disorders: Less Positive Play and Promise for a Brief Assessment Battery. - Ellen W. McGinnis; Jordyn Scism; Jessica Hruschak; Maria Muzik; Katherine L. Rosenblum; Kate Fitzgerald; William C. Copeland; Ryan S. McGinnis (IEEE J. Biomed. Health Informatics, 2021)

Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. - Brett M. Meyer; Lindsey J. Tulipani; Reed D. Gurchiek; Dakota A. Allen; Lukas Adamowicz; Dale Larie; Andrew J. Solomon; Nick Cheney; Ryan S. McGinnis (IEEE J. Biomed. Health Informatics, 2021)

UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety. - Bryn C. Loftness; Julia Halvorson-Phelan; Aisling O'Leary; Nick Cheney; Ellen W. McGinnis; Ryan S. McGinnis (EMBC, 2022)

Advancing Digital Medicine with Wearables in the Wild. - Ryan S. McGinnis; Ellen W. McGinnis (Sensors, 2022)

How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. - Brett M. Meyer; Paolo DePetrillo; Jaime Franco; Nicole Donahue; Samantha R. Fox; Aisling O'Leary; Bryn C. Loftness; Reed D. Gurchiek; Maura Buckley; Andrew J. Solomon; Sau Kuen Ng; Nick Cheney; et al. (Sensors, 2022)

Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits. - Michael V. Potter; Stephen M. Cain; Lauro V. Ojeda; Reed D. Gurchiek; Ryan S. McGinnis; Noel C. Perkins (Sensors, 2022)

Wearables-Only Analysis of Muscle and Joint Mechanics: An EMG-Driven Approach. - Reed D. Gurchiek; Nicole Donahue; Niccolo M. Fiorentino; Ryan S. McGinnis (IEEE Trans. Biomed. Eng., 2022)

Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy. - Bryn C. Loftness; Ira Bernstein; Carole A. McBride; Nick Cheney; Ellen W. McGinnis; Ryan S. McGinnis (EMBC, 2023)

Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. - Bryn C. Loftness; Donna M. Rizzo; Julia Halvorson-Phelan; Aisling O'Leary; Shania Prytherch; Carter Bradshaw; Anna Jane Brown; Nick Cheney; Ellen W. McGinnis; Ryan S. McGinnis (EMBC, 2023)

Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. - Ellen W. McGinnis; Shania Lunna; Isabel Berman; Bryn C. Loftness; Skylar Bagdon; Christopher M. Danforth; Matthew Price; William E. Copeland; Ryan S. McGinnis (EMBC, 2023)

Multimodal Markers of Transdiagnostic Childhood Mental Health Impairment. - Josh Cherian; Bryn C. Loftness; Jenna G. Cohen; Julia Halvorson-Phelan; Ellen W. McGinnis; Ryan S. McGinnis (BSN, 2024)

Longitudinal Profiles of Heart Rate Variability in First-Year College Students Using Wearables. - Bryn C. Loftness; Johanna E. Hidalgo; Josh Cherian; Guido Mascia; Ryan S. McGinnis; Ellen W. McGinnis (BSN, 2024)

Nightly Heart Rate Variability as a Biomarker of Mental Health Changes in College Students. - Guido Mascia; Ellen W. McGinnis; Mikaela Irene D. Fudolig; Laura SP Bloomfield; Matthew Price; Ryan S. McGinnis (BSN, 2024)

Collective sleep and activity patterns of college students from wearable devices. - Mikaela Irene D. Fudolig; Laura SP Bloomfield; Matthew Price; Yoshi Meke Bird; Johanna E. Hidalgo; Julia Kim; Jordan Llorin; Juniper L. Lovato; Ellen W. McGinnis; Ryan S. McGinnis; Taylor H. Ricketts; Kathryn Stanton; et al. (CoRR, 2024)

The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. - Bryn C. Loftness; Julia Halvorson-Phelan; Aisling O'Leary; Carter Bradshaw; Shania Prytherch; Isabel Berman; John B. Torous; William E. Copeland; Nick Cheney; Ryan S. McGinnis; Ellen W. McGinnis (IEEE J. Biomed. Health Informatics, 2024)

Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges. - Aisling O'Leary; Timothy Lahey; Juniper L. Lovato; Bryn C. Loftness; Antranig Douglas; Joseph Skelton; Jenna G. Cohen; William E. Copeland; Ryan S. McGinnis; Ellen W. McGinnis (Sensors, 2024)