Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning von McGinnis, Ryan S, McGinnis, Ellen W, Hruschak, Jessica, Lopez-Duran, Nestor L, Fitzgerald, Kate, Rosenblum, Katherine L, Muzik, Maria

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Advancing Digital Medicine with Wearables in the Wild von McGinnis, Ryan S., McGinnis, Ellen W.

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Monitoring gait in multiple sclerosis with novel wearable motion sensors von Moon, Yaejin, McGinnis, Ryan S, Seagers, Kirsten, Motl, Robert W, Sheth, Nirav, Wright, Jr, John A, Ghaffari, Roozbeh, Sosnoff, Jacob J

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Inertial Sensors—Applications and Challenges in a Nutshell von Seel, Thomas, Kok, Manon, McGinnis, Ryan S.

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A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis von McGinnis, Ryan S, Mahadevan, Nikhil, Moon, Yaejin, Seagers, Kirsten, Sheth, Nirav, Wright, Jr, John A, DiCristofaro, Steven, Silva, Ikaro, Jortberg, Elise, Ceruolo, Melissa, Pindado, Jesus A, Sosnoff, Jacob, Ghaffari, Roozbeh, Patel, Shyamal

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

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Robust Error-State Kalman Filter for Estimating IMU Orientation von Vitali, Rachel V., McGinnis, Ryan S., Perkins, Noel C.

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Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model von Potter, Michael V, Cain, Stephen M, Ojeda, Lauro V, Gurchiek, Reed D, McGinnis, Ryan S, Perkins, Noel C

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

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

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Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis von Meyer, Brett M., Tulipani, Lindsey J., Gurchiek, Reed D., Allen, Dakota A., Adamowicz, Lukas, Larie, Dale, Solomon, Andrew J., Cheney, Nick, McGinnis, Ryan S.

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Wearable sensors detect childhood internalizing disorders during mood induction task von McGinnis, Ellen W, McGinnis, Ryan S, Hruschak, Jessica, Bilek, Emily, Ip, Ka, Morlen, Diana, Lawler, Jamie, Lopez-Duran, Nestor L, Fitzgerald, Kate, Rosenblum, Katherine L, Muzik, Maria

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A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis von Weed, Lara, Little, Casey, Kasser, Susan L, McGinnis, Ryan S

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Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning von McClure, Kristin, Erdreich, Brett, Bates, Jason H T, McGinnis, Ryan S, Masquelin, Axel, Wshah, Safwan

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

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Continuous estimation of ground reaction force during long distance running within a fatigue monitoring framework: A Kalman filter-based model-data fusion approach von LeBlanc, Benjamin, Hernandez, Eric M., McGinnis, Ryan S., Gurchiek, Reed D.

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The Sit-to-Stand Transition as a Biomarker for Impairment: Comparison of Instrumented 30-Second Chair Stand Test and Daily Life Transitions in Multiple Sclerosis von Tulipani, Lindsey J., Meyer, Brett, Fox, Samantha, Solomon, Andrew J., Mcginnis, Ryan S.

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Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks von McGinnis, Ryan S., McGinnis, Ellen W., Petrillo, Christopher, Ferri, Jonathan, Scism, Jordyn, Price, Matthew

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Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis von Tulipani, Lindsey J., Meyer, Brett, Allen, Dakota, Solomon, Andrew J., McGinnis, Ryan S.

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Gait event detection using a thigh-worn accelerometer von Gurchiek, Reed D., Garabed, Cole P., McGinnis, Ryan S.

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