ArticleSensors (Basel, Switzerland)2021
Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
What it found
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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
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 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
- Sarcopenia screening based on the assessment of gait with inertial measurement units: a systematic review.BMC geriatrics · 2024Pooled it
- The effect of dual-task conditions on postural control in adults with low back pain: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2023Pooled it
- Whole body analysis of functional communities and topological features of gait with different speeds in Parkinson's disease.Journal of neurology · 2026Article
- Inter-segmental coordination patterns in Parkinson's disease are particularly disturbed during preferred walking speed: a data-driven network approach.Journal of neuroengineering and rehabilitation · 2025Article
- Wearable sensor technologies for individuals with back pain: a scoping review.Pain management · 2025Article
- Impact of forward and backward walking on gait parameters across parkinson's disease stages and severity: a prospective observational study.BMC neurology · 2025Observational
- A Multi-sensor Gait Dataset Collected Under Non-standardized Dual-Task Conditions.Scientific data · 2025Article
- Influence of Gait Speed on Inter-Joint Coordination in People with and Without Parkinson's Disease.Biosensors · 2025Article
- Inter-joint coordination with and without dopaminergic medication in Parkinson's disease: a case-control study.Journal of neuroengineering and rehabilitation · 2024Article
- Trend change analysis of postural balance in Parkinson's disease discriminates between medication state.Journal of neuroengineering and rehabilitation · 2024Article
- Turning When Using Smartphone in Persons With and Those Without Neurologic Conditions: Observational Study.Journal of medical Internet research · 2023Observational
- Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization.Scientific data · 2023Article
- Reduced Range of Gait Speed: A Parkinson's Disease-Specific Symptom?Journal of Parkinson's disease · 2023Article
- Design and validation of a multi-task, multi-context protocol for real-world gait simulation.Journal of neuroengineering and rehabilitation · 2022Article
- Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor.Sensors (Basel, Switzerland) · 2022Article
- A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.Sensors (Basel, Switzerland) · 2022Article
- Postural Sway in Parkinson's Disease and Multiple Sclerosis Patients During Tasks With Different Complexity.Frontiers in neurology · 2022Article
- Cognitive dual-task cost depends on the complexity of the cognitive task, but not on age and disease.Frontiers in neurology · 2022Article
- Enhancing Police Training Through Biomechanical Analysis and Wearable Technology - OTP.Indian journal of occupational and environmental medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthy adults and neurological patients show unique mobility patterns over the course of their lifespan and disease. Quantifying these mobility patterns could support diagnosing, tracking disease progression and measuring response to treatment. This quantification can be done with wearable technology, such as inertial measurement units (IMUs). Before IMUs can be used to quantify mobility, algorithms need to be developed and validated with age and disease-specific datasets. This study proposes a protocol for a dataset that can be used to develop and validate IMU-based mobility algorithms for healthy adults (18-60 years), healthy older adults (>60 years), and patients with Parkinson's disease, multiple sclerosis, a symptomatic stroke and chronic low back pain. All participants will be measured simultaneously with IMUs and a 3D optical motion capture system while performing standardized mobility tasks and non-standardized activities of daily living. Specific clinical scales and questionnaires will be collected. This study aims at building the largest dataset for the development and validation of IMU-based mobility algorithms for healthy adults and neurological patients. It is anticipated to provide this dataset for further research use and collaboration, with the ultimate goal to bring IMU-based mobility algorithms as quickly as possible into clinical trials and clinical routine.
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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.