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Connection

Ryan McGinnis to Multiple Sclerosis

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

7.049
  1. 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: 0.817
  2. 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: 0.815
  3. 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: 0.780
  4. 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: 0.762
  5. 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: 0.751
  6. 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: 0.726
  7. 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: 0.711
  8. 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: 0.668
  9. 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: 0.541
  10. 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: 0.188
  11. 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: 0.158
  12. 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: 0.132
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.