ArticleJournal of neuroengineering and rehabilitation2020
Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson's disease, and matched controls.
Article in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.
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Who cites it
59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- Wearable Sensors in Gait Assessment for Parkinson Disease and Stroke in Real-World Environments: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Real-world gait study of Parkinson's disease using wearable sensors: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Balance telerehabilitation and wearable technology for people with Parkinson's disease (TelePD trial).BMC neurology · 2023Trial
- Parkinsonian gait improvement through vibratory stride parameter feedback.Journal of neuroengineering and rehabilitation · 2026Article
- Capacity Versus Performance of Volitional Head Turns After Mild Traumatic Brain Injury.The Journal of head trauma rehabilitation · 2026Article
- The potential of unstructured "physical activity" data for understanding relationships between movement-induced joint loading and osteoarthritis progression.Osteoarthritis and cartilage open · 2026Article
- Laboratory Environments Mask Gait Differences Between Healthy Participants and Patients With Anterior Cruciate Ligament Reconstruction.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Article
- Chronotype-specific associations of sleep-wake schedule with behavioral, physiological, and psychological parameters.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Article
- Effects of Levodopa on Gait in People With Parkinson's Disease With and Without a History of Falls.Movement disorders clinical practice · 2025Article
- Concordance of Wearable Sensors and Depth Cameras for Quantitative Gait Assessment in Multiple Sclerosis.Multiple sclerosis and related disorders · 2025Article
- Resting-state functional connectivity correlates of gait and turning performance in multiple sclerosis: a multivariate pattern analysis.Scientific reports · 2025Article
- AI-Based Severity Classification of Dementia Using Gait Analysis.Sensors (Basel, Switzerland) · 2025Article
- A systematic review of real-world gait-related digital mobility outcomes in Parkinson's disease.NPJ digital medicine · 2025Article
- Hidden Markov model-based similarity measure (HMM-SM) for gait quality assessment of lower-limb prosthetic users using inertial sensor signals.Journal of neuroengineering and rehabilitation · 2025Article
- Gait Instability and Compensatory Mechanisms in Parkinson's Disease Patients With Camptocormia: An Exploratory Study.Journal of movement disorders · 2025Article
- Daily life mobility detects frailty, falls, and functioning in older prostate cancer survivors treated with androgen deprivation therapy.Journal of geriatric oncology · 2025Article
- Quantifying arm swing in Parkinson's disease: a method accounting for arm activities during free-living gait.Journal of neuroengineering and rehabilitation · 2025Article
- Continuous Monitoring of Head Turns: Compliance, Kinematics, and Reliability of Wearable Sensing.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
background and purposeRecent findings suggest that a gait assessment at a discrete moment in a clinic or laboratory setting may not reflect functional, everyday mobility. As a step towards better understanding gait during daily life in neurological populations, we compared gait measures that best discriminated people with multiple sclerosis (MS) and people with Parkinson's Disease (PD) from their respective, age-matched, healthy control subjects (MS-Ctl, PD-Ctl) in laboratory tests versus a week of daily life monitoring.
methodsWe recruited 15 people with MS (age mean ± SD: 49 ± 10 years), 16 MS-Ctl (45 ± 11 years), 16 people with idiopathic PD (71 ± 5 years), and 15 PD-Ctl (69 ± 7 years). Subjects wore 3 inertial sensors (one each foot and lower back) in the laboratory followed by 7 days during daily life. Mann-Whitney U test and area under the curve (AUC) compared differences between PD and PD-Ctl, and between MS and MS-Ctl in the laboratory and in daily life.
resultsParticipants wore sensors for 60-68 h in daily life. Measures that best discriminated gait characteristics in people with MS and PD from their respective control groups were different between the laboratory gait test and a week of daily life. Specifically, the toe-off angle best discriminated MS versus MS-Ctl in the laboratory (AUC [95% CI] = 0.80 [0.63-0.96]) whereas gait speed in daily life (AUC = 0.84 [0.69-1.00]). In contrast, the lumbar coronal range of motion best discriminated PD versus PD-Ctl in the laboratory (AUC = 0.78 [0.59-0.96]) whereas foot-strike angle in daily life (AUC = 0.84 [0.70-0.98]). AUCs were larger in daily life compared to the laboratory.
conclusionsLarger AUC for daily life gait measures compared to the laboratory gait measures suggest that daily life monitoring may be more sensitive to impairments from neurological disease, but each neurological disease may require different gait outcome measures.
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Registered trials
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.