Stroke Rehabilitation and Recovery
49 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.
2026
- Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy (opens in new tab)
- Wearable-Based Digital Metrics Reveal Dynamic Dissociations Between Upper Limb Capacity and Real-World Use Over the First Six Months After Stroke (opens in new tab)
2025
- Behavioral Monitoring in Transient Ischemic Attack and Stroke Patients: Exploratory Micro- and Macrostructural Imaging Insights for Identifying Post-Stroke Depression with Accelerometers in UK Biobank (opens in new tab)
- Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients (opens in new tab)
- Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor Data (opens in new tab)
- 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)
- The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors (opens in new tab)
- Upper Limb Capacity, Performance, and Leisure Participation in Children with Unilateral Cerebral Palsy (opens in new tab)
- Wearable Activity Monitors to Quantify Gait During Stroke Rehabilitation: Data from a Pilot Randomised Controlled Trial Examining Auditory Rhythmical Cueing (opens in new tab)
2024
2023
- 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)
- Comparison of wrist actimetry variables of paretic upper limb use in post stroke patients for ecological monitoring (opens in new tab)
- Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers (opens in new tab)
- Effects of a remote-handling-concept–based task-oriented arm training (ReHab-TOAT) on arm-hand skill performance in chronic stroke: a study protocol for a two-armed randomized controlled trial (opens in new tab)
- Is Maximal or Usual Walking Speed from Large Scale Wrist Sensor Data Better at Predicting Dementia, Depression and Death?* (opens in new tab)
- P09.06.B GAIT CHARACTERISTICS OF PROGRESSIVE DISEASE IN HIGH GRADE GLIOMA: THE BRAINWEAR STUDY (opens in new tab)
- Protocol of the MOVI-ageing randomized controlled trial: a home-based e-Health intervention of cognitively demanding exercise for the improvement of cardiorespiratory fitness and cognitive function in older individuals (opens in new tab)
- Triaxial accelerometer-measured physical activity and functional behaviours among people with High Grade Glioma: The BrainWear Study (opens in new tab)
- Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study (opens in new tab)
2022
- Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement – the Mobilise-D study protocol (opens in new tab)
- Exploring Physical Activity During the Discharge Transition Phase in People With Acquired Brain Injury—An Observational Study (opens in new tab)
- Suitability of a Low-Cost Wearable Sensor to Assess Turning in Healthy Adults (opens in new tab)
- What is the feasibility and patient acceptability of a digital system for arm and hand rehabilitation after stroke? A mixed-methods, single-arm feasibility study of the ‘OnTrack’ intervention for hospital and home use (opens in new tab)
2021
- Balance Impairments as Differential Markers of Dementia Disease Subtype (opens in new tab)
- Interventions for reducing sedentary behaviour in people with stroke (opens in new tab)
- OS10.5.A BrainWear: Longitudinal, objective assessment of physical activity in 42 HGG patients (opens in new tab)
- The Stumblemeter: Design and Validation of a System That Detects and Classifies Stumbles during Gait (opens in new tab)
- Validation of open-source step-counting algorithms for wrist-worn tri-axial accelerometers in cardiovascular patients (opens in new tab)
- Wrist Actimetry Biomarker Development of Paretic Upper Limb Use in Post Stroke Patients for Ecological Monitoring. (opens in new tab)
2020
- 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)
- Daily activity and functional performance in people with chronic disease: A cross-sectional study (opens in new tab)
- Promoting Physical Activity With Self-Tracking and Mobile-Based Coaching for Cardiac Surgery Patients During the Discharge–Rehabilitation Gap: Protocol for a Randomized Controlled Trial (opens in new tab)
- Use of wearable technology to assess activity in cognitively impaired populations: Inside care homes and the community (opens in new tab)
- Visualisation of limb movements by accelerometers in sedated patients (opens in new tab)
2019
- Accelerometer-based facilitated walking program in addition to usual care for the management of patients with low back pain at medium or high risk of chronicity: a randomised controlled trial protocol (opens in new tab)
- 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)
- Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk (opens in new tab)
- Gait in Mild Alzheimer’s Disease: Feasibility of Multi-Center Measurement in the Clinic and Home with Body-Worn Sensors: A Pilot Study (opens in new tab)
- Inertial wearables as pragmatic tools in dementia (opens in new tab)
- IoT based model of healthcare for physiotherapy (opens in new tab)
- Upper limb activity of twenty myoelectric prosthesis users and twenty healthy anatomically intact adults (opens in new tab)
- Use of Accelerometry for Long Term Monitoring of Stroke Patients (opens in new tab)
- “WALK30X5”: a feasibility study of a physiotherapy walking programme for people with mild to moderate musculoskeletal conditions (opens in new tab)
2018
Stroke Prevention Rehabilitation Intervention Trial of Exercise (SPRITE) : a randomised feasibility and pilot study
2017
- Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning (opens in new tab)
Effect of a six-week virtual reality treadmill training falls prevention intervention on macro gait outcomes of free-living walking activity
- 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)