Cerebral Palsy and Movement Disorders

42 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.

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2026

  1. Device-measured movement behaviours and cancer incidence in a population sample of UK adults: Dual 24-hour analyses of postural and intensity compositions (opens in new tab)
  2. Patterns of habitual physical activity in children and adolescents with cerebral palsy (GMFCS I-II) (opens in new tab)

2025

  1. Assessing 24-h movement behaviors in early childhood (0–4 years): Reliability of the My Little Moves app and comparison with accelerometry (opens in new tab)
  2. Beyond the Timed Up and Go: Dual-Task Gait Assessments Improve Fall Risk Detection and Reflect Real-World Mobility in Multiple Sclerosis (opens in new tab)
  3. Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients (opens in new tab)
  4. Digital assessment of real-world walking in people with impaired mobility: How many hours and days are needed? (opens in new tab)
  5. Exploring Context Allows Us to Better Understand Physical Activity in People with and Without Parkinson’s Who Have Fallen: A Mixed Methods Study (opens in new tab)
  6. How older adults walk: Daily life walking characteristics in relation to age, sex, and physical function - The HUNT4 Trondheim 70+ Study (Preprint) (opens in new tab)
  7. Inclusivity in global research. (opens in new tab)
  8. Neue Methoden zum Monitoring der Risikofaktoren und Entstehung der Intensive Care Unit Acquired Weakness (opens in new tab)
  9. Real-world walking patterns are associated with regional brain atrophy and white matter lesions in middle-aged and older people: a Watch Walk–UK Biobank study (opens in new tab)
  10. The Intensity Inequality Index for Physical Activity: A New Metric for Integrative Analysis of Movement (opens in new tab)
  11. Upper Limb Capacity, Performance, and Leisure Participation in Children with Unilateral Cerebral Palsy (opens in new tab)

2024

  1. Mobility and Gait Markers of Disease and Disease Progression (PPMI Gait) v1 (opens in new tab)
  2. Validation of two novel human activity recognition models for typically developing children and children with Cerebral Palsy (opens in new tab)

2023

  1. ACTIVE STRIDES-CP: protocol for a randomised trial of intensive rehabilitation (combined intensive gait and cycling training) for children with moderate-to-severe bilateral cerebral palsy (opens in new tab)
  2. Predictors of Physical Activity Levels in Ambulant/Semiambulant Children and Adolescents With Cerebral Palsy: A Clinical Cohort Study (opens in new tab)
  3. School readiness of children at high risk of cerebral palsy randomised to early neuroprotection and neurorehabilitation: protocol for a follow-up study of participants from four randomised clinical trials (opens in new tab)
  4. Study protocol for Running for Health (Run4Health): a randomized controlled trial investigating the effect of Frame Running (RaceRunning) training on cardiovascular health in children and youth with cerebral palsy (opens in new tab)
  5. The Relationship Between Motor Competence Physical Activity Cardiorespiratory Fitness and BMI in UK Adolescents (opens in new tab)

2022

  1. Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement – the Mobilise-D study protocol (opens in new tab)
  2. Exploring Physical Activity During the Discharge Transition Phase in People With Acquired Brain Injury—An Observational Study (opens in new tab)
  3. Suitability of a Low-Cost Wearable Sensor to Assess Turning in Healthy Adults (opens in new tab)
  4. The Health Effects of 14 Weeks of Physical Activity in a Real-Life Setting for Adults with Intellectual Disabilities (opens in new tab)

2021

  1. Predictors of physical activity levels in children and adolescents with cerebral palsy: clinical cohort study protocol (opens in new tab)
  2. Robustness of In-Laboratory and Daily-Life Gait Speed Measures over One Year in High Functioning 61- to 70-Year-Old Adults (opens in new tab)

2020

  1. Daily activity and functional performance in people with chronic disease: A cross-sectional study (opens in new tab)
  2. Falls Risk in Relation to Activity Exposure in High-Risk Older Adults (opens in new tab)

2019

  1. Acceptability and clinical trial feasibility evaluation of auditory rhythmical cueing to improve gait and physical activity in community dwelling stroke survivors (ACTIVATE): study protocol for a pilot randomised controlled trial (opens in new tab)
  2. Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk (opens in new tab)
  3. P2‐220: GAIT IMPAIRMENTS IN DEMENTIA SUBTYPES: CONSIDERING THE IMPACT OF ENVIRONMENTAL CONTEXT (opens in new tab)
  4. “WALK30X5”: a feasibility study of a physiotherapy walking programme for people with mild to moderate musculoskeletal conditions (opens in new tab)

2018

  1. P2‐226: CONTINUOUS MONITORING OF GAIT: WHAT CAN IT TELL US ABOUT DEMENTIA? (opens in new tab)
  2. TD‐P‐015: CONTINUOUS MONITORING OF GAIT: WHAT CAN IT TELL US ABOUT DEMENTIA? (opens in new tab)

2017

  1. A pilot study: investigating the physical activity pattern in children with cerebral palsy and typically developed children

  2. The WE-Study: does botulinum toxin A make walking easier in children with cerebral palsy?: Study protocol for a randomized controlled trial (opens in new tab)

2016

  1. Accelerometer-based gait assessment: Pragmatic deployment on an international scale (opens in new tab)
  2. Investigation of energy expenditure during walking in children with cerebral palsy and typically developing children using raw acceleration data (opens in new tab)
  3. Validation of the AX3 triaxial accelerometer in older functionally impaired people (opens in new tab)

2015

  1. Accelerometer based free-living data: does macro gait behaviour differ between fallers and non-fallers with and without Parkinson's disease?

  2. iCap: Instrumented assessment of physical capability (opens in new tab)
  3. Time-dependent changes in postural control in early Parkinson’s disease: what are we missing? (opens in new tab)