Ryan McGinnis to Gait
This is a "connection" page, showing publications Ryan McGinnis has written about Gait.
Connection Strength
2.789
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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: 0.641
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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: 0.539
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Potter MV, Cain SM, Ojeda LV, Gurchiek RD, McGinnis RS, Perkins NC. Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits. Sensors (Basel). 2022 Nov 01; 22(21).
Score: 0.196
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Meyer BM, Depetrillo P, Franco J, Donahue N, Fox SR, O'Leary A, Loftness BC, Gurchiek RD, Buckley M, Solomon AJ, Ng SK, Cheney N, Ceruolo M, McGinnis RS. How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. Sensors (Basel). 2022 Sep 15; 22(18).
Score: 0.195
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Gurchiek RD, Donahue N, Fiorentino NM, McGinnis RS. Wearables-Only Analysis of Muscle and Joint Mechanics: An EMG-Driven Approach. IEEE Trans Biomed Eng. 2022 Feb; 69(2):580-589.
Score: 0.186
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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: 0.181
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Meyer BM, Tulipani LJ, Gurchiek RD, Allen DA, Adamowicz L, Larie D, Solomon AJ, Cheney N, McGinnis RS. Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. IEEE J Biomed Health Inform. 2021 May; 25(5):1824-1831.
Score: 0.177
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Potter MV, Cain SM, Ojeda LV, Gurchiek RD, McGinnis RS, Perkins NC. Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model. PLoS One. 2021; 16(4):e0249577.
Score: 0.177
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Frechette ML, Meyer BM, Tulipani LJ, Gurchiek RD, McGinnis RS, Sosnoff JJ. Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis. Curr Neurol Neurosci Rep. 2019 Sep 04; 19(10):80.
Score: 0.158
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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: 0.132
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Cain SM, McGinnis RS, Davidson SP, Vitali RV, Perkins NC, McLean SG. Quantifying performance and effects of load carriage during a challenging balancing task using an array of wireless inertial sensors. Gait Posture. 2016 Jan; 43:65-9.
Score: 0.121
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Little C, Moore C, Bean E, Peters DM, McGinnis RS, Kasser SL. Acute effects of axial loading on postural control during walking and turning in people with multiple sclerosis: A pilot study. Gait Posture. 2022 May; 94:102-106.
Score: 0.047
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Nelms NJ, Birch CE, Halsey DH, Blankstein M, McGinnis RS, Beynnon BD. Assessment of Early Gait Recovery After Anterior Approach Compared to Posterior Approach Total Hip Arthroplasty: A Smartphone Accelerometer-Based Study. J Arthroplasty. 2020 Feb; 35(2):465-470.
Score: 0.040