ArticleIBRO reports2018
Quantifying turning behavior and gait in Parkinson's disease using mobile technology.
Article in IBRO reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Measures of balance and falls risk prediction in people with Parkinson's disease: a systematic review of psychometric properties.Clinical rehabilitation · 2019Pooled it
- On mobility and gait in scoliosis patients: a comparison of conventional and 3D-printed braces during an instrumented timed-up and go test.BMC musculoskeletal disorders · 2025Trial
- Vestibular Rehabilitation Improves Gait Quality and Activities of Daily Living in People with Severe Traumatic Brain Injury: A Randomized Clinical Trial.Sensors (Basel, Switzerland) · 2022Trial
- Gait Patterns and Balance Impairment in Parkinson's Disease With Correlation to Disease Severity.Dementia and neurocognitive disorders · 2025Article
- Systematic review of wearables assessing medication effect on motor function and symptoms in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Modernizing the Staging of Parkinson Disease Using Digital Health Technology.Journal of medical Internet research · 2025Article
- A Smartphone-Based Timed Up and Go Test Self-Assessment for Older Adults: Validity and Reliability Study.JMIR aging · 2025Article
- In Parkinson's disease, dual-tasking reduces gait smoothness during the straight-walking and turning-while-walking phases of the Timed Up and Go test.BMC sports science, medicine & rehabilitation · 2025Article
- Applying Wearable Sensors and Machine Learning to the Diagnostic Challenge of Distinguishing Parkinson's Disease from Other Forms of Parkinsonism.Biomedicines · 2025Article
- Protocol of a randomized, single-blind, controlled trial of an 18-month, home-based, high-intensity, exercise intervention in older, cognitively unimpairedFrontiers in aging neuroscience · 2025Article
- Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson's Disease Mobility Assessments.Sensors (Basel, Switzerland) · 2024Article
- Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson's Disease.Sensors (Basel, Switzerland) · 2024Article
- L Test Subtask Segmentation for Lower-Limb Amputees Using a Random Forest Algorithm.Sensors (Basel, Switzerland) · 2024Article
- "TiC-TUG": technology in clinical practice using the instrumented timed up and go test-a scoping review.Aging clinical and experimental research · 2024Article
- A novel machine learning based framework for developing composite digital biomarkers of disease progression.Frontiers in digital health · 2024Article
- Classification of mild Parkinson's disease: data augmentation of time-series gait data obtained via inertial measurement units.Scientific reports · 2023Article
- Development of a mobile application for assessing reaction time in walking and TUG duration: Concurrent validity in female older adults.Frontiers in medicine · 2023Article
- An investigation of the contribution of different turn speeds during standing turns in individuals with and without Parkinson's disease.Scientific reports · 2022Article
- The Microsoft HoloLens 2 Provides Accurate Measures of Gait, Turning, and Functional Mobility in Healthy Adults.Sensors (Basel, Switzerland) · 2022Article
- Assessing inertial measurement unit locations for freezing of gait detection and patient preference.Journal of neuroengineering and rehabilitation · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gait and balance impairments associated with Parkinson's disease (PD) are often refractory to traditional treatments. Objective, quantitative analysis of gait patterns is crucial in successful management of these symptoms. This project aimed to 1) determine if biomechanical metrics from a mobile device inertial measurement unit were sensitive enough to characterize the effects of anti-parkinsonian medication during the Timed Up and Go (TUG) Test, and 2) develop the Cleveland Clinic Mobility and Balance application (CC-MB) to provide clinicians with objective report following completion of the TUG. The CC-MB captured 3-dimensional acceleration and rotational data from people with PD (pwPD) to characterize center of mass movement while performing the TUG. Trials were segmented into four components: Sit-to-Walk, Gait, Turning, and Stand-to-Sit. Thirty pwPD were tested On and Off (12 h) anti-PD medication. Significant improvements (p < 0.05) between On versus Off conditions included: reduction in MDS-UPDRS III motor scores (10.7%), faster trial times (9.3%), more dynamic walking as evident by increased normalized jerk scores (vertical: 17.3%, medial-lateral: 12.3%), shorter turn durations (10.4%), and faster turn velocities (8%). Measures in Sit-to-Walk and Stand-to-Sit did not show significant changes. Trial time and turn velocity showed excellent test-retest reliability (ICC range: 0.83-0.96) across both medication states. A mobile device platform provided quantitative measures of gait and turning during the TUG that detected significant improvements from anti-parkinsonian medications. This platform is a low-cost, easy-to-use tool that can provide objective reports immediately following the clinical assessments, making it ideal for use in and outside the clinical setting.
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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.