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Connection

Jeffrey Hausdorff to Accelerometry

This is a "connection" page, showing publications Jeffrey Hausdorff has written about Accelerometry.
Connection Strength

4.113
  1. A wearable sensor identifies alterations in community ambulation in multiple sclerosis: contributors to real-world gait quality and physical activity. J Neurol. 2020 Jul; 267(7):1912-1921.
    View in: PubMed
    Score: 0.665
  2. Objective characterization of daily living transitions in patients with Parkinson's disease using a single body-fixed sensor. J Neurol. 2016 Aug; 263(8):1544-51.
    View in: PubMed
    Score: 0.511
  3. Can a Body-Fixed Sensor Reduce Heisenberg's Uncertainty When It Comes to the Evaluation of Mobility? Effects of Aging and Fall Risk on Transitions in Daily Living. J Gerontol A Biol Sci Med Sci. 2016 11; 71(11):1459-1465.
    View in: PubMed
    Score: 0.475
  4. Objective assessment of fall risk in Parkinson's disease using a body-fixed sensor worn for 3 days. PLoS One. 2014; 9(5):e96675.
    View in: PubMed
    Score: 0.443
  5. Does the evaluation of gait quality during daily life provide insight into fall risk? A novel approach using 3-day accelerometer recordings. Neurorehabil Neural Repair. 2013 Oct; 27(8):742-52.
    View in: PubMed
    Score: 0.417
  6. Automated approach for quantifying the repeated sit-to-stand using one body fixed sensor in young and older adults. Gait Posture. 2013 May; 38(1):153-6.
    View in: PubMed
    Score: 0.401
  7. Automatic Quantification of Tandem Walking Using a Wearable Device: New Insights Into Dynamic Balance and Mobility in Older Adults. J Gerontol A Biol Sci Med Sci. 2021 01 01; 76(1):101-107.
    View in: PubMed
    Score: 0.176
  8. The transition between turning and sitting in patients with Parkinson's disease: A wearable device detects an unexpected sequence of events. Gait Posture. 2019 01; 67:224-229.
    View in: PubMed
    Score: 0.151
  9. Everyday Stepping Quantity and Quality Among Older Adult Fallers With and Without Mild Cognitive Impairment: Initial Evidence for New Motor Markers of Cognitive Deficits? J Gerontol A Biol Sci Med Sci. 2018 07 09; 73(8):1078-1082.
    View in: PubMed
    Score: 0.148
  10. Comparative assessment of different methods for the estimation of gait temporal parameters using a single inertial sensor: application to elderly, post-stroke, Parkinson's disease and Huntington's disease subjects. Gait Posture. 2015 Sep; 42(3):310-6.
    View in: PubMed
    Score: 0.120
  11. Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: application to elderly, hemiparetic, parkinsonian and choreic gait. J Neuroeng Rehabil. 2014 Nov 11; 11:152.
    View in: PubMed
    Score: 0.115
  12. Automated detection of missteps during community ambulation in patients with Parkinson's disease: a new approach for quantifying fall risk in the community setting. J Neuroeng Rehabil. 2014 Apr 03; 11:48.
    View in: PubMed
    Score: 0.110
  13. Development of a new approach to quantifying stepping stability using ensemble empirical mode decomposition. Gait Posture. 2014; 39(1):495-500.
    View in: PubMed
    Score: 0.106
  14. Validation of seat-off and seat-on in repeated sit-to-stand movements using a single-body-fixed sensor. Physiol Meas. 2012 Nov; 33(11):1855-67.
    View in: PubMed
    Score: 0.100
  15. Modality-specific communication enabling gait synchronization during over-ground side-by-side walking. Hum Mov Sci. 2012 Oct; 31(5):1268-85.
    View in: PubMed
    Score: 0.097
  16. Different Combinations of Mobility Metrics Derived From a Wearable Sensor Are Associated With Distinct Health Outcomes in Older Adults. J Gerontol A Biol Sci Med Sci. 2020 05 22; 75(6):1176-1183.
    View in: PubMed
    Score: 0.042
  17. Association Between Quantitative Gait and Balance Measures and Total Daily Physical Activity in Community-Dwelling Older Adults. J Gerontol A Biol Sci Med Sci. 2018 04 17; 73(5):636-642.
    View in: PubMed
    Score: 0.036
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.