This Work Is Licensed under a Creative Commons Attribution 4.0 International License Free-living Gait Characteristics in Ageing and Parkinson's Disease: Impact of Environment and Ambulatory Bout Length

No abstract is available for this paper.

• Publication year

  year unknown

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Not labeled

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

  2016cited by this paper
• Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different

  2016cited by this paper
• Wearable Sensor Use for Assessing Standing Balance and Walking Stability in People with Parkinson’s Disease: A Systematic Review

  2015cited by this paper
• Working on asymmetry in Parkinson’s disease: randomized, controlled pilot study

  2015cited by this paper
• Ambulatory fall-risk assessment: amount and quality of daily-life gait predict falls in older adults.

  2015cited by this paper
• Physical activity classification meets daily life: Review on existing methodologies and open challenges

  2015cited by this paper
• Eight-Week Remote Monitoring Using a Freely Worn Device Reveals Unstable Gait Patterns in Older Fallers

  2015cited by this paper
• New evidence for gait abnormalities among Parkinson’s disease patients who suffer from freezing of gait: insights using a body-fixed sensor worn for 3 days

  2015cited by this paper
• Progression of gait dysfunction in incident Parkinson's disease: Impact of medication and phenotype

  2015cited by this paper
• Spatiotemporal Gait Patterns During Overt and Covert Evaluation in Patients With Parkinson´s Disease and Healthy Subjects: Is There a Hawthorne Effect?

  2015cited by this paper
• Body‐worn sensors—the brave new world of clinical measurement?

  2015cited by this paper
• Instrumenting gait with an accelerometer: A system and algorithm examination

  2015cited by this paper
• Defining ambulatory bouts in free-living activity: Impact of brief stationary periods on bout metrics.

  2015cited by this paper
• An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things

  2015cited by this paper
• Toward ambulatory balance assessment: estimating variability and stability from short bouts of gait.

  2014cited by this paper
• Objective Assessment of Fall Risk in Parkinson's Disease Using a Body-Fixed Sensor Worn for 3 Days

  2014cited by this paper
• The nature of dual-task interference during gait in incident Parkinson's disease.

  2014cited by this paper
• Sensor-Derived Physical Activity Parameters Can Predict Future Falls in People with Dementia

  2014cited by this paper
• The association between retirement and age on physical activity in older adults

  2014cited by this paper
• Moving forward on gait measurement: Toward a more refined approach

  2013cited by this paper
• Epoch length and the physical activity bout analysis: An accelerometry research issue

  2013cited by this paper
• Prevalence and Burden of Gait Disorders in Elderly Men and Women Aged 60–97 Years: A Population-Based Study

  2013cited by this paper
• Trunk-acceleration based assessment of gait parameters in older persons: a comparison of reliability and validity of four inverted pendulum based estimations.

  2013cited by this paper
• Independent domains of gait in older adults and associated motor and nonmotor attributes: validation of a factor analysis approach.

  2013cited by this paper
• The spectrum of nonmotor symptoms in early Parkinson disease

  2013cited by this paper
• Does the Evaluation of Gait Quality During Daily Life Provide Insight Into Fall Risk? A Novel Approach Using 3-Day Accelerometer Recordings

  2013cited by this paper
• Discrete gait characteristics are associated with m.3243A>G and m.8344A>G variants of mitochondrial disease and its pathological consequences

  2013cited by this paper
• Visual sampling during walking in people with Parkinson's disease and the influence of environment and dual-task.

  2012cited by this paper
• Validity and Reliability of Accelerometer-Based Gait Assessment in Patients with Diabetes on Challenging Surfaces

  2012cited by this paper
• An enhanced estimate of initial contact and final contact instants of time using lower trunk inertial sensor data.

  2012cited by this paper
• Parkinsonism: Onset, progression, and mortality

  2011cited by this paper
• Toward Automated, At-Home Assessment of Mobility Among Patients With Parkinson Disease, Using a Body-Worn Accelerometer

  2011cited by this paper
• Real-time gait event detection for normal subjects from lower trunk accelerations.

  2010cited by this paper
• Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results

  2008cited by this paper
• How humans walk: bout duration, steps per bout, and rest duration.

  2008cited by this paper
• Quantification of everyday motor function in a geriatric population.

  2007cited by this paper
• Dual tasking, gait rhythmicity, and Parkinson's disease: Which aspects of gait are attention demanding?

  2005cited by this paper
• A description of an accelerometer-based mobility monitoring technique.

  2005cited by this paper
• SIC Task Force appraisal of clinical diagnostic criteria for parkinsonian disorders

  2003cited by this paper
• Assessment of spatio-temporal gait parameters from trunk accelerations during human walking.

  2003cited by this paper
• A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument.

  1998cited by this paper
• No Adjustments Are Needed for Multiple Comparisons

  1990cited by this paper
• “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician

  1975cited by this paper
• Characterizing mild cognitive impairment in incident Parkinson disease The ICICLE-PD Study

  year unknowncited by this paper

• Gait as a vital sign: integrating wearables and AI into vestibular and balance medicine

  2026cites this paper
• ASSESSING FALLS IN PARKINSON’S DISEASE: THE TURKISH ADAPTATION OF THE PARKINSON DISEASE FALLS QUESTIONNAIRE

  2026cites this paper
• Moving beyond the hospital: in-depth characterization of daily-life mobility in patients with atypical Parkinsonian disorders

  2026cites this paper
• Toward an understanding of real-world mobility in Parkinson's: insights from enhanced contextualisation using GPS-derived location and data-driven modeling of walking speed.

  2026cites this paper
• Multimodal machine learning mobility assessment in Parkinson's disease within supervised and unsupervised settings.

  2026cites this paper
• Multi-modal gait assessment in Parkinson's Disease: A pilot study examining the impact of terrain and environment.

  2026cites this paper
• Construct validity of instrumented gait assessments in hospital and daily life mobility in patients with Parkinson’s disease and atypical Parkinson's syndromes: an exploratory study

  2026cites this paper
• Laboratory Environments Mask Gait Differences Between Healthy Participants and Patients With Anterior Cruciate Ligament Reconstruction

  2025influential citation
• Comparison of Wearable and Depth-Sensing Technologies with Electronic Walkway for Comprehensive Gait Analysis

  2025cites this paper
• Predicting Parkinson's Disease Progression Using Statistical and Neural Mixed Effects Models: A Comparative Study on Longitudinal Biomarkers

  2025cites this paper
• The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D study

  2025cites this paper
• Gait Analysis for Thigh-Worn Accelerometry: A Data Processing Pipeline using Data-Driven Approaches

  2025cites this paper
• Digital assessment of real-world walking in people with impaired mobility: How many hours and days are needed?

  2025cites this paper
• A Dual-Use Framework for Clinical Gait Analysis: Attention-Based Sensor Optimization and Automated Dataset Auditing

  2025cites this paper
• Aging towards walkable futures: insights from a multidisciplinary workshop held in Barcelona, Spain

  2025cites this paper
• Convolutional neural networks-based early Parkinson’s disease classification using cycling data from a steerable indoor bicycle

  2025cites this paper
• Prediction of Parkinson’s Disease Based on Gait Speed and Timed Up and Go Test

  2025cites this paper
• Investigating Subjective Motor Activity Perception and Gait in Parkinson‘s Disease

  2025cites this paper
• Capture of Longitudinal Change in Real‐Life Walking in Cerebellar Ataxia Increases Patient Relevance and Effect Size

  2025cites this paper
• Effects of Levodopa on Gait in People With Parkinson's Disease With and Without a History of Falls

  2025cites this paper
• Real Steps or Not: Auto-Walker Detection in Move-to-Earn Applications

  2025cites this paper
• Sensorimotor incongruence during walking using delayed visual feedback

  2025cites this paper
• Bilateral Deep Brain Stimulation of the Subthalamic Nucleus or Globus Pallidus Internus Improves Gait Impairment in Parkinson's Disease.

  2025cites this paper
• Assessing within-individual gait acceleration variability: a comparative analysis of remote monitoring and laboratory measurements

  2025cites this paper
• Using Explainable AI to Identify Disease-Relevant and Deep Brain Stimulation Treatment-Sensitive Gait Features in Parkinson's Disease

  2025cites this paper
• Physical activity, neuropsychiatric symptoms, and physical function in nursing home residents: the HUNT 70+ study

  2025cites this paper
• A New Methodological Approach Integrating Motion Capture and Pressure-Sensitive Gait Data to Assess Functional Mobility in Parkinson’s Disease: A Two-Phase Study

  2025cites this paper
• Synthesizing Research in Sport and Exercise: Transitioning to Real-World Data and Data Science.

  2025cites this paper
• A framework to standardize gait study protocols in Parkinson's disease

  2025cites this paper
• Gait characteristics in people with Friedreich ataxia: daily life versus clinic measures

  2025cites this paper
• Predicting Fall Risk in Parkinson's Patients Through Sequential Gait Analysis and Machine Learning

  2025cites this paper
• Quantifying arm swing in Parkinson’s disease: a method accounting for arm activities during free-living gait

  2025cites this paper
• A systematic review of real-world gait-related digital mobility outcomes in Parkinson’s disease

  2025cites this paper
• Analysis of Brain (EEG) and Muscle (EMG) Signaling Features to Characterize the Stages of Parkinson's Disease Using ANFIS

  2025cites this paper
• Bilateral Deep Brain Stimulation of the Subthalamic Nucleus or Globus Pallidus Internus Improves Gait Impairment in Parkinson's Disease

  2025cites this paper
• Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation

  2024cites this paper
• Gait kinematics differ by bout duration and setting.

  2024cites this paper
• Valutazione della deambulazione: dalla clinica al mondo reale

  2024cites this paper
• Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

  2024cites this paper
• Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

  2024cites this paper
• Évaluation de la marche : de la clinique au milieu réel

  2024cites this paper
• Bayesian Regression Analysis for Dependent Data with an Elliptical Shape

  2024cites this paper
• Impact of Shoe Parameters on Gait Using Wearables

  2024cites this paper
• Complexities and challenges of translating intervention success to real world gait in people with Parkinson’s disease

  2024influential citation
• Evaluation of a finite state machine algorithm to measure stepping with ankle accelerometry: Performance across a range of gait speeds, tasks, and individual walking ability.

  2024cites this paper
• Objective gait assessment and quantified recurrence analysis using foot-worn wearable sensor for healthy individuals.

  2024cites this paper
• Daily physical activity in older adults across levels of care: the HUNT Trondheim 70 + study

  2024cites this paper
• Imbalance and Falls in Patients with Parkinson’s Disease: Causes and Recent Developments in Training and Sensor-Based Assessment

  2024cites this paper
• Modeling the Heterogeneity of Post-Stroke Gait Control in Free-Living Environments Using a Personalized Causal Network

  2024cites this paper
• Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study

  2024cites this paper
• Examining the validity of smart glasses in measuring spatiotemporal parameters of gait among people with Parkinson's disease.

  2024cites this paper
• Unveiling the Unpredictable in Parkinson’s Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life

  2024cites this paper
• Adjustability of Gait Speed in Clinics and Free-Living Environments for People With Parkinson’s Disease

  2024cites this paper
• Walking performance in individuals with lumbar spinal stenosis- possible outcome measures and assessment of known-group validity.

  2024cites this paper
• Evaluación de la marcha: de la clínica al medio real

  2024cites this paper
• Contextualizing remote fall risk: Video data capture and implementing ethical AI

  2024cites this paper
• Classification of human walking context using a single-point accelerometer

  2024cites this paper
• Reliability of patient-specific gait profiles with inertial measurement units during the 2-min walk test in incomplete spinal cord injury

  2024cites this paper
• Gait asymmetry and symptom laterality in Parkinson’s disease: two of a kind?

  2024cites this paper
• Long-term continuous instrumented insole-based gait analyses in daily life have advantages over longitudinal gait analyses in the lab to monitor healing of tibial fractures

  2024cites this paper
• Assessment of a system for gait parameter extraction and individual feature classification using artificial neural networks and a low-cost accelerometer

  2024cites this paper
• Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

  2023cites this paper
• Monitoring Gait and Physical Activity of Elderly Frail Individuals in Free-Living Environment: A Feasibility Study

  2023cites this paper
• Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study

  2023cites this paper
• Video See-Through Pipelines for Virtual Reality Headsets and their Impact on Gait

  2023cites this paper
• Features of VR Rehabilitation in Patients with Parkinson's Disease

  2023cites this paper
• Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back

  2023cites this paper
• Association of Prospective Falls in Older People With Ubiquitous Step-Based Fall Risk Parameters Calculated From Ambulatory Inertial Signals: Secondary Data Analysis

  2023cites this paper
• Gait on the Edge: A Proposed Wearable for Continuous Real-Time Monitoring Beyond the Laboratory

  2023cites this paper
• SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies

  2023cites this paper
• 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

  2023cites this paper
• Toward enhanced free-living fall risk assessment: Data mining and deep learning for environment and terrain classification

  2023cites this paper
• Real-world gait and turning in individuals scheduled for total knee arthroplasty

  2023cites this paper
• Challenges and advances in the use of wearable sensors for lower extremity biomechanics.

  2023cites this paper
• Enhancing remote monitoring and classification of motor state in Parkinson’s disease using Wearable Technology and Machine Learning

  2023cites this paper
• Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram

  2023cites this paper
• Gait and turning characteristics from daily life increase ability to predict future falls in people with Parkinson's disease

  2023cites this paper
• Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease?

  2023influential citation
• Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model

  2023cites this paper
• Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers

  2023cites this paper
• Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

  2023cites this paper
• Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease

  2023cites this paper
• Gait pattern analysis in the home environment as a key factor for the reliable assessment of shunt responsiveness in patients with idiopathic normal pressure hydrocephalus

  2023cites this paper
• Characterizing Walking Behaviors in Aged Residential Care Using Accelerometry, With Comparison Across Care Levels, Cognitive Status, and Physical Function: Cross-Sectional Study

  2023influential citation
• Machine learning algorithms in spatiotemporal gait analysis can identify patients with Parkinsons disease.

  2023cites this paper
• Application of de-shape synchrosqueezing to estimate gait cadence from a single-sensor accelerometer placed in different body locations

  2022cites this paper
• Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning

  2022cites this paper
• Comparison on gait characteristics between controlled and free-living conditions in old adults

  2022cites this paper
• Association between central sensitization and gait in chronic low back pain: Insights from a machine learning approach

  2022cites this paper
• SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing

  2022cites this paper
• The Experience of Home-Based Free Living Data Collection using Cameras, Wearables, and other Multimodal Sensors in Parkinson’s Disease: A Qualitative Study (Preprint)

  2022cites this paper
• Consensus Paper: Ataxic Gait

  2022cites this paper
• Automated Detection of Older Adults’ Naturally-Occurring Compensatory Balance Reactions: Translation From Laboratory to Free-Living Conditions

  2022cites this paper
• Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

  2022cites this paper
• Application of Support Vector Machines Model in the Classification of Knee Joint Angle

  2022cites this paper
• Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study

  2022cites this paper
• Ecological Validation of Machine Learning Models for Spatiotemporal Gait Analysis in Free-living Environments Using Instrumented Insoles

  2022cites this paper
• Understanding how people with Parkinson's disease turn in gait from a real-world in-home dataset

  2022cites this paper
• Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data

  2022cites this paper
• Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis

  2022cites this paper