ArticleScientific data2023
A database with frailty, functional and inertial gait metrics for the research of fall causes in older adults.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- Effects of a 12-week Tai Chi program on postural stability and gait biomechanics in prefrail older adults: a randomized controlled study.Journal of neuroengineering and rehabilitation · 2026Trial
- Effects of Different Exercise Interventions on Fall Risk and Gait Parameters in Frail Patients After Open Heart Surgery: A Pilot Study.Medicina (Kaunas, Lithuania) · 2025Trial
- Comparative analysis of wearable-derived gait features with intrinsic risk indicators for fall risk prediction in older adults.Scientific reports · 2026Article
- Associations between knee extensor strength and gait characteristics derived from shoe-based wearable sensors in older women.Scientific reports · 2026Article
- Classification of fallers and non-fallers in older adults using electrical IMU signal for gait analysis and explainable deep learning.Scientific reports · 2026Article
- Database for Prevalence and Determinants of Frailty in the Elderly with Quantifying Functional Mobility.Scientific data · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
- Comparative evaluation of deep learning models for three-class frailty assessment using gait metrics.Frontiers in aging · 2026Article
- A deep learning framework for gait-based frailty classification using inertial measurement units.PloS one · 2026Article
- Data-Driven Phenotyping from Foot-Mounted IMU Waveforms: Elucidating Phenotype-Specific Fall Mechanisms.Sensors (Basel, Switzerland) · 2025Article
- A Dataset of Clinical Gait Signals with Wearable Sensors from Healthy, Neurological, and Orthopedic Cohorts.Scientific data · 2025Article
- Relationships between hand grip strength and gait parameters measured using a foot-mounted sensor in non-laboratory settings in older women.Scientific reports · 2025Article
- DIODEM - A Diverse Inertial and Optical Dataset of kinEmatic chain Motion.Scientific data · 2025Article
- Retrospective Frailty Assessment in Older Adults Using Inertial Measurement Unit-Based Deep Learning on Gait Spectrograms.Sensors (Basel, Switzerland) · 2025Article
- Multimodal sensor dataset for monitoring older adults post lower limb fractures in community settings.Scientific data · 2025Article
- Wearable sensors and machine learning fusion-based fall risk prediction in covert cerebral small vessel disease.Frontiers in neuroscience · 2025Article
- Foot kinematics and kinetics data for different static foot posture collected using a multi-segment foot model.Scientific data · 2024Article
- Association between gait video information and general cardiovascular diseases: a prospective cross-sectional study.European heart journal. Digital health · 2024Article
- Relationship between Body Composition and Gait Characteristics in Patients with Cerebral Small Vessel Disease.Current neurovascular research · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The GSTRIDE database contains information of the health status assessment of 163 elderly adults. We provide socio-demographic data, functional and frailty variables, and the outcomes from tests commonly performed for the evaluation of elder people. The database contains gait parameters estimated from the measurements of an Inertial Measurement Unit (IMU) placed on the foot of volunteers. These parameters include the total walking distance, the number of strides and multiple spatio-temporal gait parameters, such as stride length, stride time, speed, foot angles and clearance, among others. The main processed database is stored, apart from MS Excel, in CSV format to ensure their usability. The database is complemented with the raw IMU recordings in TXT format, in order to let researchers test other algorithms of gait analysis. We include the Python programming codes as a base to reproduce or modify them. The database stores data to study the frailty-related parameters that distinguish faller and non-faller populations, and analyze the gait-related parameters in the frail subjects, which are essential topics for the elderly.
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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.