ArticleMovement disorders : official journal of the Movement Disorder Society2022
Longitudinal Monitoring of Progressive Supranuclear Palsy using Body-Worn Movement Sensors.
Article in Movement disorders : official journal of the Movement Disorder Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- The use of digital outcome measures in clinical trials in rare neurological diseases: a systematic literature review.Orphanet journal of rare diseases · 2023Pooled it
- From clinical phenotypes to molecular precision: multimodal biomarkers for progressive supranuclear palsy.Frontiers in neuroscience · 2026Review
- Pathway to Regulatory Approval of Digital Health Technologies in Progressive Supranuclear Palsy: A Scoping Review.Brain sciences · 2025Review
- Do the gait domains change in PD patients with freezing of gait during their 'interictal' period?BMC geriatrics · 2025Article
- Verbal fluency is associated with Gait impairment in Progressive Supranuclear Palsy.Clinical parkinsonism & related disorders · 2025Article
- Predicting future fallers in Parkinson's disease using kinematic data over a period of 5 years.NPJ digital medicine · 2024Article
- Implementing sensor-based digital health technologies in clinical trials: Key considerations from the eCOA Consortium.Clinical and translational science · 2024Review
- Validation of Pelvis and Trunk Range of Motion as Assessed Using Inertial Measurement Units.Bioengineering (Basel, Switzerland) · 2024Article
- Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy.Sensors (Basel, Switzerland) · 2023Article
- Remote at-home wearable-based gait assessments in Progressive Supranuclear Palsy compared to Parkinson's Disease.BMC neurology · 2023Article
- Patients with progressive supranuclear palsy need to be seen sooner and more frequently.Parkinsonism & related disorders · 2023Article
- Identification of motor progression in Parkinson's disease using wearable sensors and machine learning.NPJ Parkinson's disease · 2023Article
- Article
- Balance and gait in progressive supranuclear palsy: a narrative review of objective metrics and exercise interventions.Frontiers in neurology · 2023Review
- Neuroprotection trial design in progressive supranuclear palsy: challenges and solutions.Alzheimer's & dementia (New York, N. Y.)Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundWe have previously shown that wearable technology and machine learning techniques can accurately discriminate between progressive supranuclear palsy (PSP), Parkinson's disease, and healthy controls. To date these techniques have not been applied in longitudinal studies of disease progression in PSP.
objectivesWe aimed to establish whether data collected by a body-worn inertial measurement unit (IMU) network could predict clinical rating scale scores in PSP and whether it could be used to track disease progression.
methodsWe studied gait and postural stability in 17 participants with PSP over five visits at 3-month intervals. Participants performed a 2-minute walk and an assessment of postural stability by standing for 30 seconds with their eyes closed, while wearing an array of six IMUs.
resultsThirty-two gait and posture features were identified, which progressed significantly with time. A simple linear regression model incorporating the three features with the clearest progression pattern was able to detect statistically significant progression 3 months in advance of the clinical scores. A more complex linear regression and a random forest approach did not improve on this.
conclusionsThe reduced variability of the models, in comparison to clinical rating scales, allows a significant change in disease status from baseline to be observed at an earlier stage. The current study sheds light on the individual features that are important in tracking disease progression. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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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.