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Connection

Ryan McGinnis to Humans

This is a "connection" page, showing publications Ryan McGinnis has written about Humans.
Connection Strength

1.297
  1. 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.
    View in: PubMed
    Score: 0.048
  2. Loftness BC, Bernstein I, McBride CA, Cheney N, McGinnis EW, McGinnis RS. Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4.
    View in: PubMed
    Score: 0.048
  3. 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.
    View in: PubMed
    Score: 0.048
  4. VanDyk T, Meyer B, DePetrillo P, Donahue N, O'Leary A, Fox S, Cheney N, Ceruolo M, Solomon AJ, McGinnis RS. Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis. IEEE Trans Neural Syst Rehabil Eng. 2023; 31:2279-2286.
    View in: PubMed
    Score: 0.047
  5. Meyer BM, Cohen JG, Donahue N, Fox SR, O'Leary A, Brown AJ, Leahy C, VanDyk T, DePetrillo P, Ceruolo M, Cheney N, Solomon AJ, McGinnis RS. Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis. IEEE Trans Neural Syst Rehabil Eng. 2023; 31:2132-2139.
    View in: PubMed
    Score: 0.047
  6. 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).
    View in: PubMed
    Score: 0.045
  7. Loftness BC, Halvorson-Phelan J, O'Leary A, Cheney N, McGinnis EW, McGinnis RS. UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul; 2022:1141-1144.
    View in: PubMed
    Score: 0.045
  8. Tulipani LJ, Meyer B, Fox S, Solomon AJ, Mcginnis RS. 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. IEEE Trans Neural Syst Rehabil Eng. 2022; 30:1213-1222.
    View in: PubMed
    Score: 0.044
  9. Tulipani LJ, Meyer B, Allen D, Solomon AJ, McGinnis RS. Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis. Gait Posture. 2022 May; 94:19-25.
    View in: PubMed
    Score: 0.044
  10. 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.
    View in: PubMed
    Score: 0.043
  11. 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).
    View in: PubMed
    Score: 0.042
  12. McGinnis EW, Scism J, Hruschak J, Muzik M, Rosenblum KL, Fitzgerald K, Copeland W, McGinnis RS. Digital Phenotype for Childhood Internalizing Disorders: Less Positive Play and Promise for a Brief Assessment Battery. IEEE J Biomed Health Inform. 2021 Aug; 25(8):3176-3184.
    View in: PubMed
    Score: 0.042
  13. 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.
    View in: PubMed
    Score: 0.041
  14. 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.
    View in: PubMed
    Score: 0.041
  15. McGinnis RW, Sztandera L, Ruane J, Vadigepalli R. Analyzing the relationships between city opioid deaths and socioeconomic factors. J Opioid Manag. 2021; 17(5):363-382.
    View in: PubMed
    Score: 0.040
  16. Gurchiek RD, Ursiny AT, McGinnis RS. A Gaussian Process Model of Muscle Synergy Functions for Estimating Unmeasured Muscle Excitations Using a Measured Subset. IEEE Trans Neural Syst Rehabil Eng. 2020 Nov; 28(11):2478-2487.
    View in: PubMed
    Score: 0.040
  17. Gurchiek RD, Ursiny AT, McGinnis RS. Modeling Muscle Synergies as a Gaussian Process: Estimating Unmeasured Muscle Excitations using a Measured Subset. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul; 2020:3110-3113.
    View in: PubMed
    Score: 0.039
  18. 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.
    View in: PubMed
    Score: 0.039
  19. Gurchiek RD, Garabed CP, McGinnis RS. Gait event detection using a thigh-worn accelerometer. Gait Posture. 2020 Jul; 80:214-216.
    View in: PubMed
    Score: 0.039
  20. 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.
    View in: PubMed
    Score: 0.037
  21. Gurchiek RD, Cheney N, McGinnis RS. Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques. Sensors (Basel). 2019 Nov 28; 19(23).
    View in: PubMed
    Score: 0.037
  22. 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).
    View in: PubMed
    Score: 0.037
  23. McGinnis EW, Anderau SP, Hruschak J, Gurchiek RD, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M, McGinnis RS. Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood. IEEE J Biomed Health Inform. 2019 Nov; 23(6):2294-2301.
    View in: PubMed
    Score: 0.036
  24. McGinnis RS, McGinnis EW, Hruschak J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M. Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning. PLoS One. 2019; 14(1):e0210267.
    View in: PubMed
    Score: 0.035
  25. McGinnis RS, McGinnis EW, Hruschak J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M. Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:3983-3986.
    View in: PubMed
    Score: 0.034
  26. 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.
    View in: PubMed
    Score: 0.031
  27. McGinnis RS, Patel S, Silva I, Mahadevan N, DiCristofaro S, Jortberg E, Ceruolo M, Aranyosi AJ. Skin mounted accelerometer system for measuring knee range of motion. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:5298-5302.
    View in: PubMed
    Score: 0.030
  28. McGinnis RS, Cain SM, Tao S, Whiteside D, Goulet GC, Gardner EC, Bedi A, Perkins NC. Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures Used to Diagnose Femoroacetabular Impingement. IEEE Trans Biomed Eng. 2015 Jun; 62(6):1503-13.
    View in: PubMed
    Score: 0.027
  29. McGinnis RS, Perkins NC. Inertial sensor based method for identifying spherical joint center of rotation. J Biomech. 2013 Sep 27; 46(14):2546-9.
    View in: PubMed
    Score: 0.024
  30. 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).
    View in: PubMed
    Score: 0.011
  31. 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.
    View in: PubMed
    Score: 0.011
  32. 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.
    View in: PubMed
    Score: 0.010
  33. LeBlanc B, Hernandez EM, McGinnis RS, Gurchiek RD. Continuous estimation of ground reaction force during long distance running within a fatigue monitoring framework: A Kalman filter-based model-data fusion approach. J Biomech. 2021 Jan 22; 115:110130.
    View in: PubMed
    Score: 0.010
  34. 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).
    View in: PubMed
    Score: 0.010
  35. 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.
    View in: PubMed
    Score: 0.009
  36. 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.
    View in: PubMed
    Score: 0.009
  37. Gurchiek RD, Rupasinghe Arachchige Don HS, Pelawa Watagoda LCR, McGinnis RS, van Werkhoven H, Needle AR, McBride JM, Arnholt AT. Sprint Assessment Using Machine Learning and a Wearable Accelerometer. J Appl Biomech. 2019 Apr 01; 35(2):164-169.
    View in: PubMed
    Score: 0.009
  38. McGinnis EW, McGinnis RS, Hruschak J, Bilek E, Ip K, Morlen D, Lawler J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M. Wearable sensors detect childhood internalizing disorders during mood induction task. PLoS One. 2018; 13(4):e0195598.
    View in: PubMed
    Score: 0.008
  39. Vitali RV, Cain SM, McGinnis RS, Zaferiou AM, Ojeda LV, Davidson SP, Perkins NC. Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine. Sensors (Basel). 2017 Aug 27; 17(9).
    View in: PubMed
    Score: 0.008
  40. 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.
    View in: PubMed
    Score: 0.008
  41. 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.
    View in: PubMed
    Score: 0.008
  42. McGinnis EW, McGinnis RS, Muzik M, Hruschak J, Lopez-Duran NL, Perkins NC, Fitzgerald K, Rosenblum KL. Movements Indicate Threat Response Phases in Children at Risk for Anxiety. IEEE J Biomed Health Inform. 2017 Sep; 21(5):1460-1465.
    View in: PubMed
    Score: 0.007
  43. 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.
    View in: PubMed
    Score: 0.007
  44. Davidson SP, Cain SM, McGinnis RS, Vitali RR, Perkins NC, McLean SG. Quantifying warfighter performance in a target acquisition and aiming task using wireless inertial sensors. Appl Ergon. 2016 Sep; 56:27-33.
    View in: PubMed
    Score: 0.007
  45. 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.
    View in: PubMed
    Score: 0.007
  46. The JS, Schilling KJ, Hoffmeister JW, Friedmann E, McGinnis R, Holcomb RG. Detection of breast cancer with full-field digital mammography and computer-aided detection. AJR Am J Roentgenol. 2009 Feb; 192(2):337-40.
    View in: PubMed
    Score: 0.004
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.