A Dataset of Clinical Gait Signals with Wearable Sensors from Healthy, Neurological, and Orthopedic Cohorts

Open access, clean, annotated databases are key for future significant advances in gait quantification with inertial sensors. This multi-pathology and clinically annotated dataset provides 1356 gait trials from 260 participants equipped with four inertial measurement units placed on the head, lower...

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Veröffentlicht in:Scientific data Jg. 12; H. 1; S. 1674 - 14
Hauptverfasser: Voisard, Cyril, Barrois, Rémi, l’Escalopier, Nicolas de, Vayatis, Nicolas, Vidal, Pierre-Paul, Yelnik, Alain, Ricard, Damien, Oudre, Laurent
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 22.10.2025
Nature Publishing Group
Nature Portfolio
Schlagworte:
631/378/2629
692/308/53
Algorithms
Anterior cruciate ligament
Biomechanical Phenomena
Chemotherapy
Clinical trials
Data Descriptor
Datasets
Disease
Females
Gait
Humanities and Social Sciences
Humans
Joint and ligament injuries
Knee
Leukoencephalopathy
Life Sciences
Motion capture
Movement disorders
multidisciplinary
Neurodegenerative diseases
Orthopedics
Osteoarthritis
Parkinson's disease
Pathology
Patients
Peripheral neuropathy
Population studies
Science
Science (multidisciplinary)
Stroke
Time series
Walking
Wearable Electronic Devices
ISSN:2052-4463, 2052-4463
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Beschreibung
Zusammenfassung:Open access, clean, annotated databases are key for future significant advances in gait quantification with inertial sensors. This multi-pathology and clinically annotated dataset provides 1356 gait trials from 260 participants equipped with four inertial measurement units placed on the head, lower back, and dorsal part of each foot. Participants followed a standardized protocol: standing still, walking 10 meters, turning around, walking back 10 meters, and stopping. It results in a large human walking dataset with over 11 hours of gait time series data. The quality is ensured by the documentation and metadata provided. The study population encompasses healthy individuals and patients with neurological (parkinson disease, cerebrovascular accident, radiation-induced leukoencephalopathy and chemotherapy-induced peripheral neuropathy) or orthopedic (hip osteoarthritis, knee osteoarthritis and anterior cruciate ligament injury) conditions. For each pathology, the most relevant clinical or radioclinical score has been calculated to provide insight into the gravity of the disease. This dataset can be used to study kinematic parameters, gait cycles time series, and various indicators for quantifying gait in routine clinical practice.
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ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-025-05959-w