Ryan McGinnis to Adult
This is a "connection" page, showing publications Ryan McGinnis has written about Adult.
Connection Strength
0.727
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Loftness BC, Rizzo DM, Halvorson-Phelan J, O'Leary A, Prytherch S, Bradshaw C, Brown AJ, Cheney N, McGinnis EW, McGinnis RS. Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4.
Score: 0.088
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McGinnis EW, Lunna S, Berman I, Loftness BC, Bagdon S, Danforth CM, Price M, Copeland WE, McGinnis RS. Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4.
Score: 0.088
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Weed L, Little C, Kasser SL, McGinnis RS. A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis. Sensors (Basel). 2021 Aug 28; 21(17).
Score: 0.077
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McGinnis RS, McGinnis EW, Petrillo C, Ferri J, Scism J, Price M. Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks. IEEE J Biomed Health Inform. 2021 Mar; 25(3):656-662.
Score: 0.075
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Tulipani LJ, Meyer B, Larie D, Solomon AJ, McGinnis RS. Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis. Gait Posture. 2020 Jul; 80:361-366.
Score: 0.071
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Gurchiek RD, Garabed CP, McGinnis RS. Gait event detection using a thigh-worn accelerometer. Gait Posture. 2020 Jul; 80:214-216.
Score: 0.071
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Gurchiek RD, Choquette RH, Beynnon BD, Slauterbeck JR, Tourville TW, Toth MJ, McGinnis RS. Open-Source Remote Gait Analysis: A Post-Surgery Patient Monitoring Application. Sci Rep. 2019 Nov 29; 9(1):17966.
Score: 0.069
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Adamowicz L, Gurchiek RD, Ferri J, Ursiny AT, Fiorentino N, McGinnis RS. Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles. Sensors (Basel). 2019 Nov 24; 19(23).
Score: 0.069
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McGinnis RS, Mahadevan N, Moon Y, Seagers K, Sheth N, Wright JA, DiCristofaro S, Silva I, Jortberg E, Ceruolo M, Pindado JA, Sosnoff J, Ghaffari R, Patel S. A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis. PLoS One. 2017; 12(6):e0178366.
Score: 0.058
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McClure K, Erdreich B, Bates JHT, McGinnis RS, Masquelin A, Wshah S. Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning. Sensors (Basel). 2020 Nov 13; 20(22).
Score: 0.018
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Gurchiek RD, McGinnis RS, Needle AR, McBride JM, van Werkhoven H. The use of a single inertial sensor to estimate 3-dimensional ground reaction force during accelerative running tasks. J Biomech. 2017 Aug 16; 61:263-268.
Score: 0.015
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Moon Y, McGinnis RS, Seagers K, Motl RW, Sheth N, Wright JA, Ghaffari R, Sosnoff JJ. Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS One. 2017; 12(2):e0171346.
Score: 0.014
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Patel S, McGinnis RS, Silva I, DiCristofaro S, Mahadevan N, Jortberg E, Franco J, Martin A, Lust J, Raj M, McGrane B, DePetrillo P, Aranyosi AJ, Ceruolo M, Pindado J, Ghaffari R. A wearable computing platform for developing cloud-based machine learning models for health monitoring applications. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:5997-6001.
Score: 0.014