Balance, Gait, and Falls Prevention
160 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.
2026
A randomised controlled feasibility trial of an intervention to increase activity and reduce sedentary behaviour in people with severe mental illness: Walking fOR Health (WORtH) Study: Feasibility RCT WORtH
- An exploratory analysis of 24-h movement behaviors in individuals with cancer completing a 12-week resistance exercise intervention (opens in new tab)
- Are Real-World Mobility Patterns Early Indicators of COPD Onset? Insights from Wrist-Worn Sensors (opens in new tab)
- Association of Daily Step Count and Multiple Sclerosis: An Accelerometer-Based Prospective Cohort Study (opens in new tab)
- Beyond the Leaderboard: Evaluating the Robustness of Deep Learning Models for Detecting Freezing of Gait (opens in new tab)
- Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis (opens in new tab)
- Distribution of device-measured 24-h movement behaviors in older adults: cross-sectional findings from the HUNT4 study (opens in new tab)
- Do Movement Summary Metrics Produce Comparable Outputs Across Different Accelerometer Brands in Free Living? (opens in new tab)
- Dual foundation models for accelerometry predict future health (opens in new tab)
- E-based physical exercise in patients with multiple sclerosis and comorbidity (COMPACT): feasibility study and protocol for a randomized controlled trial (opens in new tab)
- Functional mobility profiles in pre-operative knee osteoarthritis patients: A cluster analysis of self-report, in-clinic, and free-living measures (opens in new tab)
- Gait-Related Digital Mobility Outcomes in Parkinson's Disease: New Insights into Convergent Validity? (opens in new tab)
- Patterns of daily-life walking in older adults – the HUNT4 Trondheim 70+ Observational Study (opens in new tab)
- Patterns of habitual physical activity in children and adolescents with cerebral palsy (GMFCS I-II) (opens in new tab)
- Privacy and personalisation: predicting Parkinson’s disease severity from real-world gait with federated learning (opens in new tab)
- Randomised controlled feasibility trial of an intervention to increase activity and reduce sedentary behaviour in people with severe mental illness: Walking fOR Health (WORtH) study (opens in new tab)
- Real-World Gait Analysis for Older Adults: Identifying Optimal Gait Bouts and Reconstructing Lower-Back Signals from Wrist-Worn Devices (opens in new tab)
- Real-World Walking Patterns From Wrist-Worn Wearables Predict Incident Type 2 Diabetes: A UK Biobank WatchWalk Study (opens in new tab)
- Reproducibility and associated regression dilution bias of accelerometer-derived physical activity and sleep in UK Biobank (opens in new tab)
- Social, economic, and environmental disparities in device-measured 24-hour movement behaviours in a nationally representative cohort of older English adults (opens in new tab)
- Steps against the burden of Parkinson’s disease (StepuP): Protocol of a randomized controlled trial elucidating the biomechanical and neurophysiological mechanisms of a speed dependent treadmill training intervention (opens in new tab)
- Validity and Reliability of Using a Belt-Worn Accelerometer on the Lower Back to Monitor Physical Activity (opens in new tab)
2025
- Accelerometer-derived physical activity and risk of incident fractures: a population-based cohort study (opens in new tab)
- Accelerometers can correctly count orthopaedic patients' early post‐operative steps while using walking aids (opens in new tab)
- Accelerometer‐measured physical activity timing with incident dementia (opens in new tab)
- Are exercise booster sessions effective at preserving exercise-induced effects in people with multiple sclerosis? A randomised controlled trial: results from the MSBOOST trial (opens in new tab)
- Association of self-reported and accelerometer-based walking pace with incident cardiac arrhythmias: a prospective cohort study using UK Biobank (opens in new tab)
- Associations of accelerometer-derived ‘weekend warrior’ physical activity pattern with incident sarcopenia and falls (opens in new tab)
- 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)
- Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients (opens in new tab)
- Cohort profile: baseline characteristics and design of the McMaster Monitoring My Mobility (MacM3) study – a prospective digital mobility cohort of community-dwelling older Canadians from Southern Ontario (opens in new tab)
- Comparing Physical Activity Metrics From Different Placements of Thigh-Worn Accelerometers (opens in new tab)
- Daily-Life Walking Characteristics of Older Adults in Relation to Age, Sex, and Physical Function: the HUNT4 Trondheim 70+ Observational Study (opens in new tab)
- Digital assessment of real-world walking in people with impaired mobility: How many hours and days are needed? (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)
- Exploring parameter optimisation in machine learning algorithms for locomotor task discrimination using wearable sensors (opens in new tab)
- Flexible Goals for Daily Step Count: Associations Between Sporadic and Bouted Steps and All-Cause Mortality (opens in new tab)
- How do people with COPD walk? A European study on digitally measured real-world gait (opens in new tab)
- 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)
INTEGRATING WEARABLE GAIT ANALYSIS FOR INFORMED DECISION MAKING IN LATE-STAGE OSTEOARTHRITIS: A FRAMEWORK FOR FREE-LIVING ASSESSMENT
- Joint Associations of Sedentary Time and Intensity-Specific Physical Activity With Cancer Mortality: A Device-Based Cohort Study of 72,458 UK Adults (opens in new tab)
- Methods matter- construct validity of steps per day in patients with lumbar spinal stenosis (opens in new tab)
- Moderate and Vigorous Physical Activity Intensity Cut‐Points for Hip‐, Wrist‐, Thigh‐, and Lower Back Worn Accelerometer in Very Old Adults (opens in new tab)
- Moderate-to-Vigorous Physical Activity at any Dose Reduces All-Cause Dementia Risk Regardless of Frailty Status (opens in new tab)
- Neue Methoden zum Monitoring der Risikofaktoren und Entstehung der Intensive Care Unit Acquired Weakness (opens in new tab)
- Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study (opens in new tab)
- Physical activity, neuropsychiatric symptoms, and physical function in nursing home residents: the HUNT 70+ study (opens in new tab)
- Predictive performance of wearable sensors for mortality risk in older adults: a model development and validation study (opens in new tab)
- Prospective associations of daily step count and stepping intensity with overall and type-specific major adverse cardiovascular events in people with hypertension (opens in new tab)
- 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)
- Rethinking the relationship between ambulatory activity and falls in long-term care: risk versus reward (opens in new tab)
- Sensor for sports applications: monitoring and assessment of intrinsic capacity enhancement in older adults during brisk walking (opens in new tab)
- The Ability of Monitor-Independent Movement Summary Units, Euclidean Norm Minus One, and Mean Amplitude Deviation to Harmonize Accelerometry Data Across Research-Grade and Consumer Wearable Devices During Simulated Free-Living Physical Activity in Children (opens in new tab)
- The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D study (opens in new tab)
- The performance of a machine learning model in predicting accelerometer-derived walking speed (opens in new tab)
- The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors (opens in new tab)
- Unsupervised machine learning models reveal two distinct post-operative physical activity profiles among joint arthroplasty patients: a United Kingdom biobank cohort study (opens in new tab)
- Variability and Reliability of the Axivity AX6 Accelerometer in Technical and Human Motion Conditions (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
- A comparison of sleep metrics from mid-thigh and low-back accelerometers to wrist based data using open-source algorithms (opens in new tab)
- A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects (opens in new tab)
- Associations between accelerometer‐derived sedentary behavior and physical activity with white matter hyperintensities in middle‐aged to older adults (opens in new tab)
Characterising walking behaviours in aged residential care using accelerometery: a cross-sectional comparison of care level, cognitive status and physical function
- Characterizing Walking Behaviors in Aged Residential Care Using Accelerometry, With Comparison Across Care Levels, Cognitive Status, and Physical Function: Cross-Sectional Study (opens in new tab)
- Daily physical activity in older adults across levels of care: the HUNT Trondheim 70 + study (opens in new tab)
- Daily-Life Walking Speed, Quality and Quantity Derived from a Wrist Motion Sensor: Large-Scale Normative Data for Middle-Aged and Older Adults (opens in new tab)
- Effects of power training in older patients with multiple sclerosis on neurodegeneration, neuromuscular function, and physical function. A study protocol for the “power training in older multiple sclerosis patients (PoTOMS) randomized control trial (opens in new tab)
- Enhancing clinical and public health interpretation of accelerometer-assessed physical activity with age-referenced values based on UK Biobank data (opens in new tab)
- Evaluation of the ActiMotus Software to Accurately Classify Postures and Movements in Children Aged 3–14 (opens in new tab)
- Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills (opens in new tab)
- Objectively Measured Physical Activity Using Wrist-Worn Accelerometers as a Predictor of Incident Alzheimer’s Disease in the UK Biobank (opens in new tab)
- Real-Life Physical Activity in Community-Dwelling Older Adults over a Year with Changes in COVID-19 Restrictions in Norway (opens in new tab)
- Study protocol: effects of exercise booster sessions on preservation of exercise-induced adaptations in persons with multiple sclerosis, a multicentre randomised controlled trial—the MS BOOSTER trial (opens in new tab)
- The Agreement between Wearable Sensors and Force Plates for the Analysis of Stride Time Variability (opens in new tab)
2023
- acc: An R package to process, visualize, and analyze accelerometer data (opens in new tab)
- Accelerometer Metrics: Healthy Adult Reference Values, Associations with Cardiorespiratory Fitness, and Clinical Implications (opens in new tab)
- An Automated Approach to Instrumenting the Up-on-the-Toes Test(s) (opens in new tab)
- Association Between Frailty and Free-Living Walking Performance in People With Multiple Sclerosis (opens in new tab)
- Association of Sit-to-Stand Capacity and Free-Living Performance Using Thigh-Worn Accelerometers among 60- to 90-Yr-Old Adults (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)
- Detection and Characterization of Walking Bouts Using a Single Wrist-Worn Accelerometer in Free-living Conditions (opens in new tab)
- Determining minimum number of valid days for accurate estimation of sedentary behaviour and awake-time movement behaviours using the ActivPAL3 in nursing home residents (opens in new tab)
- Effects of an Exercise Program to Reduce Falls in Older People Living in Long-Term Care: A Randomized Controlled Trial (opens in new tab)
- Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease (opens in new tab)
- Fourteen days free-living evaluation of an open-source algorithm for counting steps in healthy adults with a large variation in physical activity level (opens in new tab)
- Fundament for a methodological standard to process hip accelerometer data to a measure of physical activity intensity in middle‐aged individuals (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)
- Quantifying the Association between Objectively Measured Physical Activity and Multiple Sclerosis in the UK Biobank (opens in new tab)
- The STEPWISE study: study protocol for a smartphone-based exercise solution for people with Parkinson’s Disease (randomized controlled trial) (opens in new tab)
- Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson’s (opens in new tab)
- Using Clinical Scales and Digital Measures to Explore Falls in Patients with Lewy Body Dementia (opens in new tab)
- Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach (opens in new tab)
- Validation of Oura ring energy expenditure and steps in laboratory and free-living (opens in new tab)
- Walking bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back (opens in new tab)
- Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis (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
- Association of Daily Step Count and Intensity With Incident Dementia in 78 430 Adults Living in the UK (opens in new tab)
- Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement – the Mobilise-D study protocol (opens in new tab)
- Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease (opens in new tab)
- Integrity and Performance of Four Tape Solutions for Mounting Accelerometry Devices: Lolland-Falster Health Study (opens in new tab)
- Personalised Gait Recognition for People with Neurological Conditions (opens in new tab)
- Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants (opens in new tab)
- Promoting independence in Lewy body dementia through exercise: the PRIDE study (opens in new tab)
- Suitability of a Low-Cost Wearable Sensor to Assess Turning in Healthy Adults (opens in new tab)
- Treadmill training with virtual reality to enhance gait and cognitive function among people with multiple sclerosis: a randomized controlled trial (opens in new tab)
2021
- An Intelligent In-Shoe System for Gait Monitoring and Analysis with Optimized Sampling and Real-Time Visualization Capabilities (opens in new tab)
- Balance Impairments as Differential Markers of Dementia Disease Subtype (opens in new tab)
- Changes in Trunk Variability and Stability of Gait in Patients with Chronic Low Back Pain: Impact of Laboratory versus Daily-Living Environments (opens in new tab)
- Chronic low back pain changes in trunk controls of gait (opens in new tab)
- Predictors of physical activity levels in children and adolescents with cerebral palsy: clinical cohort study protocol (opens in new tab)
- Protocol for the DeFOG trial: A randomized controlled trial on the effects of smartphone-based, on-demand cueing for freezing of gait in Parkinson's disease (opens in new tab)
- 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)
- Temporal Alignment of Dual Monitor Accelerometry Recordings (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)
- Validity of a Non-Proprietary Algorithm for Identifying Lying Down Using Raw Data from Thigh-Worn Triaxial Accelerometers (opens in new tab)
- Vibration Attenuation Via Mean of Lower Limb Muscles Occurs During Whole Body Vibrations And Differs Across Frequencies And Postures (opens in new tab)
2020
- Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts? (opens in new tab)
- Accuracy and Acceptability of Wearable Motion Tracking Smartwatches for Inpatient Monitoring (opens in new tab)
- 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)
- Comparison of Sedentary Time Between Thigh-Worn and Wrist-Worn Accelerometers (opens in new tab)
- Daily activity and functional performance in people with chronic disease: A cross-sectional study (opens in new tab)
- Entropy of Real-World Gait in Parkinson’s Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory Behavior (opens in new tab)
- Evaluating the effects of an exercise program (Staying UpRight) for older adults in long-term care on rates of falls: study protocol for a randomised controlled trial (opens in new tab)
- Falls Risk in Relation to Activity Exposure in High-Risk Older Adults (opens in new tab)
- Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough? (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)
- Workplace activity classification from shoe-based movement sensors (opens in new tab)
2019
A basis for harmonisation of accelerometer physical activity outcomes in epidemiology
- 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)
- Activity Intensity, Volume, and Norms: Utility and Interpretation of Accelerometer Metrics (opens in new tab)
- Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) (opens in new tab)
- Continuous Real-World Gait Monitoring in Idiopathic REM Sleep Behavior Disorder (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)
- P2‐220: GAIT IMPAIRMENTS IN DEMENTIA SUBTYPES: CONSIDERING THE IMPACT OF ENVIRONMENTAL CONTEXT (opens in new tab)
- TD‐03‐01: GAIT IMPAIRMENTS IN DEMENTIA SUBTYPES: CONSIDERING THE IMPACT OF ENVIRONMENTAL CONTEXT (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
- Effect of a 26-month floorball training on male elderly's cardiovascular fitness, glucose control, body composition, and functional capacity (opens in new tab)
- Longitudinal changes over thirty-six months in postural control dynamics and cognitive function in people with Parkinson's disease (opens in new tab)
- Objective assessment of physical activity and sedentary behaviour in knee osteoarthritis patients – beyond daily steps and total sedentary time (opens in new tab)
- Postural Dynamics Are Associated With Cognitive Decline in Parkinson's Disease (opens in new tab)
- Using Accelerometers to Measure Physical Activity in Older Patients Admitted to Hospital (opens in new tab)
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
- Everyday Stepping Quantity and Quality Among Older Adult Fallers With and Without Mild Cognitive Impairment: Initial Evidence for New Motor Markers of Cognitive Deficits? (opens in new tab)
- Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor (opens in new tab)
2016
- Accelerometer-based gait assessment: Pragmatic deployment on an international scale (opens in new tab)
- Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions (opens in new tab)
- Investigation of energy expenditure during walking in children with cerebral palsy and typically developing children using raw acceleration data (opens in new tab)
- Validation of the AX3 triaxial accelerometer in older functionally impaired people (opens in new tab)
2015
Accelerometer based free-living data: does macro gait behaviour differ between fallers and non-fallers with and without Parkinson's disease?
- iCap: Instrumented assessment of physical capability (opens in new tab)
- Instrumented assessment of test battery for physical capability using an accelerometer: a feasibility study (opens in new tab)
- Time-dependent changes in postural control in early Parkinson’s disease: what are we missing? (opens in new tab)
- Utilization and Harmonization of Adult Accelerometry Data (opens in new tab)