ArticleScientific data2026
Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Canonical coherence for the estimation of within- and cross-frequency cortico-kinematic interactions.Scientific reports · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This dataset includes raw and processed data collected using a single lower-back-mounted inertial measurement unit (IMU) during a standardized 6-Minute Walk Test (6MWT) in a sample of sixty healthy adults (age range: 21-75 years; 50% female). Accelerometer and gyroscope signals were analyzed for metrological quality under static and dynamic conditions. A set of digital gait metrics was derived from the IMU data, including spatiotemporal parameters and measures of gait intensity, instability, symmetry, and regularity. These metrics are provided in the dataset alongside demographic, anthropometric, and physiological data. The dataset offers a practical, clinically relevant resource to support the development, validation, and benchmarking of novel algorithms for digital mobility assessments. Its structure enables comparisons across age and sex groups and provides normative data for future analyses on pathologic populations, supporting applications in aging studies, rehabilitation, and digital biomarker development. Raw signals, processed metrics and software codes are included in the dataset to support effective data reusability.
Indexed as
Identifiers
What OpenQuestion holds
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.