ArticleBMC neurology2021
Wearable inertial sensors are highly sensitive in the detection of gait disturbances and fatigue at early stages of multiple sclerosis.
Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 35 citations in OpenAlex.
- Interventional Feasibility Study Investigating Virtual Reality-Based Gait Assessment With Orthoses in People With Multiple Sclerosis: A Study Protocol.Clinical and translational science · 2026Article
- Enhanced Gait Variability Index in Neurological and Geriatric Rehabilitation: A Scoping Review.NeuroRehabilitation · 2026Article
- Feasibility of Privacy-Preserving LiDAR-Based Continuous Gait and Activity Monitoring in Three People with Multiple Sclerosis: A Technical Proof-of-Concept Case Study.Sensors (Basel, Switzerland) · 2026Article
- Concordance of Wearable Sensors and Depth Cameras for Quantitative Gait Assessment in Multiple Sclerosis.Multiple sclerosis and related disorders · 2025Article
- Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025Review
- A Novel Whole-Body Wearable Technology for Motor Assessment in Multiple Sclerosis: Feasibility and Usability Pilot Study.Sensors (Basel, Switzerland) · 2025Article
- Gait Characteristics Related to Fatigue in Patients With Type 2 Diabetes: Cross-Sectional Study.Cureus · 2025Article
- Smartphone-based gait analysis in the assessment of fatigue and fatigability in people with multiple sclerosis: a supervised cohort study.Journal of neurology · 2025Article
- Cognitive-motor interference in multiple sclerosis revisited: a dual-task paradigm using wearable inertial sensors and the Paced Auditory Serial Addition Test.Frontiers in neurology · 2025Article
- Application of telemedicine in fatigue management for patients with multiple sclerosis: A scoping review.PloS one · 2025Article
- Evaluating the impact of task-sequencing on cognitive and motor performance in MS: PASAT and 3-minute walk test order effects.Frontiers in neurology · 2025Article
- Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.Journal of medical Internet research · 2023Article
- Stability of sensor-based gait parameters reassessed after a period of one year in people with multiple sclerosis.BMC neurology · 2023Article
- The effect of biomechanical features on classification of dual-task gait.IEEE sensors journal · 2023Article
- Progression risk stratification with six-minute walk gait speed trajectory in multiple sclerosis.Frontiers in neurology · 2023Article
- Validity of an inertial sensor-based system for the assessment of spatio-temporal parameters in people with multiple sclerosis.Frontiers in neurology · 2023Article
- Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram.Frontiers in neurology · 2023Article
- Comparing a Fitbit Wearable to an Electrocardiogram Gold Standard as a Measure of Heart Rate Under Psychological Stress: A Validation Study.JMIR formative research · 2022Article
- Potential application of hydrogel to the diagnosis and treatment of multiple sclerosis.Journal of biological engineering · 2022Review
- Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.Frontiers in human neuroscience · 2022Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe aim of the current study was to examine multiple gait parameters obtained by wearable inertial sensors and their sensitivity to clinical status in early multiple sclerosis (MS). Further, a potential correlation between gait parameters and subjective fatigue was explored.
methodsAutomated gait analyses were carried out on 88 MS patients and 31 healthy participants. To measure gait parameters (i.e. walking speed, stride length, stride duration, duration of stance and swing phase, minimal toe-to-floor distance), wearable inertial sensors were utilized throughout a 6-min 25-ft walk. Additionally, self-reported subjective fatigue was assessed.
resultsMean gait parameters consistently revealed significant differences between healthy participants and MS patients from as early as an Expanded Disability Status Scale (EDSS) value of 1.5 onwards. Further, MS patients showed a significant linear trend in all parameters, reflecting continuously deteriorating gait performance throughout the test. This linear deterioration trend showed significant correlations with fatigue.
conclusionsWearable inertial sensors are highly sensitive in the detection of gait disturbances, even in early MS, where global scales such as the EDSS do not provide any clinical information about deviations in gait behavior. Moreover, these measures provide a linear trend parameter of gait deterioration that may serve as a surrogate marker of fatigue. In sum, these results suggest that classic timed walking tests in routine clinical practice should be replaced by readily and automatically applicable gait assessments, as provided by inertial sensors.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.