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ORCIDEllen W. McGinnis
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Journal Articles
- 2024
[j7]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)- [j6]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) - 2022
- [j5]Ryan S. McGinnis, Ellen W. McGinnis:
Advancing Digital Medicine with Wearables in the Wild. Sensors 22(12): 4576 (2022) - 2021
- [j4]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) - [j3]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) - 2019
- [j2]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) - 2017
- [j1]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)
Conference and Workshop Papers
- 2023
- [c7]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 - [c6]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 - [c5]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
- [c4]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 - 2019
- [c3]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
- [c2]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 - [c1]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
Coauthor Index
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