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Gait impairment in multiple sclerosis

Discussion in 'General Issues and Discussion Forum' started by NewsBot, May 3, 2011.

  1. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Putting the best foot forward: Relationships between indicators of step quality and cadence in three gait vulnerable population.
    Mate KKV et al
    NeuroRehabilitation. 2019 Mar 7
     
  2. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Physical activity and walking performance across the lifespan among adults with multiple sclerosis.
    Baird JF et al
    Mult Scler Relat Disord. 2019 Jul 4;35:36-41
     
  3. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Muscle Dysfunction and Walking Impairment in Women with Multiple Sclerosis.
    Willingham TB, Backus D, McCully KK.
    Int J MS Care. 2019 Nov-Dec ;21(6):249-256
     
  4. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Gait stability at early stages of multiple sclerosis using different data sources
    L. EduardoCofré Lizama et al
    Gait & Posture; 5 February 2020
     
  5. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Detection of subtle gait disturbance and future fall risk in early multiple sclerosis.
    Brandstadter R et al
    Neurology. 2020 Feb 26
     
  6. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Trunk and pelvis movement compensation in people with multiple sclerosis: Relationships to muscle function and gait performance outcomes.
    Mañago MM et al
    Gait Posture. 2020 Mar 12;78:48-53
     
  7. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Effect of Hippotherapy on Walking Performance and Gait Parameters in People With Multiple Sclerosis
    Andréa Gomes Moraes et al
    Mult Scler Relat Disord. 2020 May 26
     
  8. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Fampridine-induced Changes in Walking Kinetics Are Associated With Clinical Improvements in Patients With Multiple Sclerosis
    D Weller et al
    J Neurol Sci. 2020 Jun 8;416:116978
     
  9. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Exercise-induced changes in gait kinematics in multiple sclerosis with minimal neurological disability
    Georgia Andreopoulou et al
    Mult Scler Relat Disord. 2020 Nov 19;47:102630
     
  10. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Does gait bout definition influence the ability to discriminate gait quality between people with and without multiple sclerosis during daily life?
    Vrutangkumar V Shah et al
    Gait Posture. 2020 Nov 25
     
  11. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    News Release 29-Mar-2021
    Machine learning helps spot gait problems in individuals with multiple sclerosis

    CHAMPAIGN, Ill. -- Monitoring the progression of multiple sclerosis-related gait issues can be challenging in adults over 50 years old, requiring a clinician to differentiate between problems related to MS and other age-related issues. To address this problem, researchers are integrating gait data and machine learning to advance the tools used to monitor and predict disease progression.

    A new study of this approach led by University of Illinois Urbana Champaign graduate student Rachneet Kaur, kinesiology and community health professor Manuel Hernandez and industrial and enterprise engineering and mathematics professor Richard Sowers is published in the journal Institute of Electrical and Electronics Engineers Transactions on Biomedical Engineering.

    Multiple sclerosis can present itself in many ways in the approximately 2 million people that it affects globally, and walking problems are a common symptom. About half of the patients need walking assistance within 15 years of onset, the study reports.

    "We wanted to get a sense of the interactions between aging and concurrent MS disease-related changes, and whether we can also differentiate between the two in older adults with MS," Hernandez said. "Machine-learning techniques seem to work particularly well at spotting complex hidden changes in performance. We hypothesized that these analysis techniques might also be useful in predicting sudden gait changes in persons with MS."

    Using an instrumented treadmill, the team collected gait data - normalized for body size and demographics - from 20 adults with MS and 20 age-, weight-, height- and gender-matched older adults without MS. The participants walked at a comfortable pace for up to 75 seconds while specialized software captured gait events, corresponding ground reaction forces and center-of-pressure positions during each walk. The team extracted each participant's characteristic spatial, temporal and kinetic features in their strides to examine variations in gait during each trial.

    Changes in various gait features, including a data feature called the butterfly diagram, helped the team detect differences in gait patterns between participants. The diagram gains its name from the butterfly-shaped curve created from the repeated center-of-pressure trajectory for multiple continuous strides during a subject's walk and is associated with critical neurological functions, the study reports.

    "We study the effectiveness of a gait dynamics-based machine-learning framework to classify strides of older persons with MS from healthy controls to generalize across different walking tasks and over new subjects," Kaur said. "This proposed methodology is an advancement toward developing an assessment marker for medical professionals to predict older people with MS who are likely to have a worsening of symptoms in the near term."

    Future studies can provide more thorough examinations to manage the study's small cohort size, Sowers said.

    "Biomechanical systems, such as walking, are poorly modeled systems, making it difficult to spot problems in a clinical setting," Sowers said. "In this study, we are trying to extract conclusions from data sets that include many measurements of each individual, but a small number of individuals. The results of this study make significant headway in the area of clinical machine learning-based disease-prediction strategies."
     
  12. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Non-ambulatory measures of lower extremity sensorimotor function are associated with walking function in Multiple Sclerosis
    Sumire Sato et al
    Mult Scler Relat Disord. 2021 May 29
     
  13. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    The effect of shoe cushioning on gait and balance in females with multiple sclerosis
    Andrew S. Monaghan, Patrick G. Monaghan, Sutton B. Richmond, Jamie A. Roper & Brett W. Fling
    Experimental Brain Research (2021)
     
  14. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Speed but Not Smoothness of Gait Reacts to Rehabilitation in Multiple Sclerosis
    Philipp Gulde et al
    Mult Scler Int. 2021 Jun 3;2021:5589562
     
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