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ORCIDRyan S. McGinnis
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2020 – today
- 2024
[j20]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:
Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges. Sensors 24(10): 3214 (2024)- [j19]Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Carter Bradshaw, Shania Prytherch, Isabel Berman, John Torous, William E. Copeland, Nick Cheney, Ryan S. McGinnis, Ellen W. McGinnis:
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE J. Biomed. Health Informatics 28(4): 2304-2313 (2024) - [c17]Josh Cherian, Bryn C. Loftness, Jenna G. Cohen, Julia Halvorson-Phelan, Ellen W. McGinnis, Ryan S. McGinnis:
Multimodal Markers of Transdiagnostic Childhood Mental Health Impairment. BSN 2024: 1-4 - [c16]Bryn C. Loftness, Johanna Hidalgo, Josh Cherian, Guido Mascia, Ryan S. McGinnis, Ellen W. McGinnis:
Longitudinal Profiles of Heart Rate Variability in First-Year College Students Using Wearables. BSN 2024: 1-4 - [c15]Guido Mascia, Ellen W. McGinnis, Mikaela I. Fudolig, Laura SP Bloomfield, Matthew Price, Ryan S. McGinnis:
Nightly Heart Rate Variability as a Biomarker of Mental Health Changes in College Students. BSN 2024: 1-4 - 2023
- [c14]Bryn C. Loftness, Ira Bernstein, Carole A. McBride, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis:
Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy. EMBC 2023: 1-4 - [c13]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:
Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. EMBC 2023: 1-4 - [c12]Ellen W. McGinnis, Shania Lunna, Isabel Berman, Bryn C. Loftness, Skylar Bagdon, Christopher M. Danforth, Matthew Price, William E. Copeland, Ryan S. McGinnis:
Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. EMBC 2023: 1-4 - 2022
- [j18]Ryan S. McGinnis, Ellen W. McGinnis:
Advancing Digital Medicine with Wearables in the Wild. Sensors 22(12): 4576 (2022) - [j17]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, Melissa Ceruolo, Ryan S. McGinnis:
How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. Sensors 22(18): 6982 (2022) - [j16]Michael V. Potter, Stephen M. Cain, Lauro V. Ojeda, Reed D. Gurchiek, Ryan S. McGinnis, Noel C. Perkins:
Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits. Sensors 22(21): 8398 (2022) - [j15]Reed D. Gurchiek, Nicole Donahue, Niccolo M. Fiorentino, Ryan S. McGinnis:
Wearables-Only Analysis of Muscle and Joint Mechanics: An EMG-Driven Approach. IEEE Trans. Biomed. Eng. 69(2): 580-589 (2022) - [c11]Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis:
UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety. EMBC 2022: 1141-1144 - 2021
- [j14]Lara Weed, Casey Little, Susan L. Kasser, Ryan S. McGinnis:
A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis. Sensors 21(17): 5806 (2021) - [j13]Ryan S. McGinnis, Ellen W. McGinnis, Christopher J. Petrillo, Jonathan Ferri, Jordyn Scism, Matthew Price:
Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks. IEEE J. Biomed. Health Informatics 25(3): 656-662 (2021) - [j12]Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, Dakota A. Allen, Lukas Adamowicz, Dale Larie, Andrew J. Solomon, Nick Cheney, Ryan S. McGinnis:
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. IEEE J. Biomed. Health Informatics 25(5): 1824-1831 (2021) - [j11]Ellen W. McGinnis, Jordyn Scism, Jessica Hruschak, Maria Muzik, Katherine L. Rosenblum, Kate Fitzgerald, William C. Copeland, Ryan S. McGinnis:
Digital Phenotype for Childhood Internalizing Disorders: Less Positive Play and Promise for a Brief Assessment Battery. IEEE J. Biomed. Health Informatics 25(8): 3176-3184 (2021) - [c10]Samantha R. Fox, Reed D. Gurchiek, Anna T. Ursiny, Brett M. Meyer, Julianne M. Boughton, Ryan S. McGinnis:
Adaptive Surface Electromyography Normalization for Long-Duration Recordings. BSN 2021: 1-4 - 2020
- [j10]Thomas Seel, Manon Kok, Ryan S. McGinnis:
Inertial Sensors - Applications and Challenges in a Nutshell. Sensors 20(21): 6221 (2020) - [j9]Kristin McClure, Brett Erdreich, Jason H. T. Bates, Ryan S. McGinnis, Axel Masquelin, Safwan Wshah:
Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning. Sensors 20(22): 6481 (2020) - [c9]Reed D. Gurchiek, Anna T. Ursiny, Ryan S. McGinnis:
Modeling Muscle Synergies as a Gaussian Process: Estimating Unmeasured Muscle Excitations using a Measured Subset. EMBC 2020: 3110-3113 - [c8]Blake Hewgill, Ryan S. McGinnis, Jeff Frolik:
A Modular Open Source Health Monitoring Garment*. EMBC 2020: 4510-4513
2010 – 2019
- 2019
- [j8]Lukas Adamowicz, Reed D. Gurchiek, Jonathan Ferri, Anna T. Ursiny, Niccolo M. Fiorentino, Ryan S. McGinnis:
Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles. Sensors 19(23): 5143 (2019) - [j7]Reed D. Gurchiek, Nick Cheney, Ryan S. McGinnis:
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques. Sensors 19(23): 5227 (2019) - [j6]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:
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood. IEEE J. Biomed. Health Informatics 23(6): 2294-2301 (2019) - [c7]Reed D. Gurchiek, Rebecca H. Choquette, Bruce D. Beynnon, James R. Slauterbeck, Timothy W. Tourville, Michael J. Toth, Ryan S. McGinnis:
Remote Gait Analysis Using Wearable Sensors Detects Asymmetric Gait Patterns in Patients Recovering from ACL Reconstruction. BSN 2019: 1-4 - [c6]Ryan S. McGinnis, Ellen W. McGinnis, Christopher J. Petrillo, Matthew Price:
Mobile Biofeedback Therapy for the Treatment of Panic Attacks: A Pilot Feasibility Study. BSN 2019: 1-4 - 2018
- [c5]Ryan S. McGinnis, Ellen W. McGinnis, Jessica Hruschak, Nestor L. Lopez-Duran, Kate Fitzgerald, Katherine L. Rosenblum, Maria Muzik:
Wearable sensors and machine learning diagnose anxiety and depression in young children. BHI 2018: 410-413 - [c4]Ryan S. McGinnis, Javier B. Redrado, Rebecca H. Choquette, Bruce D. Beynnon, James R. Slauterbeck, Timothy W. Tourville, Michael J. Toth:
Wearable sensors capture differences in muscle activity and gait patterns during daily activity in patients recovering from ACL reconstruction. BSN 2018: 38-41 - [c3]Ryan S. McGinnis, Ellen W. McGinnis, Jessica Hruschak, Nestor L. Lopez-Duran, Kate Fitzgerald, Katherine L. Rosenblum, Maria Muzik:
Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning. EMBC 2018: 3983-3986 - 2017
- [j5]Ryan S. McGinnis, Stephen M. Cain, Steven P. Davidson, Rachel V. Vitali, Scott G. McLean, Noel C. Perkins:
Inertial sensor and cluster analysis for discriminating agility run technique and quantifying changes across load. Biomed. Signal Process. Control. 32: 150-156 (2017) - [j4]Rachel V. Vitali, Stephen M. Cain, Ryan S. McGinnis, Antonia M. Zaferiou, Lauro V. Ojeda, Steven P. Davidson, Noel C. Perkins:
Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine. Sensors 17(9): 1970 (2017) - [j3]Ellen W. McGinnis, Ryan S. McGinnis, Maria Muzik, Jessica Hruschak, Nestor L. Lopez-Duran, Noel C. Perkins, Kate Fitzgerald, Katherine L. Rosenblum:
Movements Indicate Threat Response Phases in Children at Risk for Anxiety. IEEE J. Biomed. Health Informatics 21(5): 1460-1465 (2017) - 2016
- [c2]Ryan S. McGinnis, Shyamal Patel, Ikaro Silva, Nikhil Mahadevan, Steve DiCristofaro, Elise Jortberg, Melissa Ceruolo, A. J. Aranyosi:
Skin mounted accelerometer system for measuring knee range of motion. EMBC 2016: 5298-5302 - [c1]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, A. J. Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari:
A wearable computing platform for developing cloud-based machine learning models for health monitoring applications. EMBC 2016: 5997-6001 - 2015
- [j2]Ryan S. McGinnis, Stephen M. Cain, Sui Tao, David Whiteside, Grant C. Goulet, Elizabeth C. Gardner, Asheesh Bedi, Noel C. Perkins:
Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures Used to Diagnose Femoroacetabular Impingement. IEEE Trans. Biomed. Eng. 62(6): 1503-1513 (2015) - 2012
- [j1]Ryan S. McGinnis, Noel C. Perkins:
A Highly Miniaturized, Wireless Inertial Measurement Unit for Characterizing the Dynamics of Pitched Baseballs and Softballs. Sensors 12(9): 11933-11945 (2012)
Coauthor Index
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