Original publications on measurement validity, clinical associations and the evaluation of digital mobility endpoints.
Compare the study population, measurement task and reference method before applying a result to your service. Each summary highlights the research question, principal findings and the limits that matter when choosing a clinical endpoint. Open the original publication for its full abstract, methods and author disclosures.
Twenty healthy adults completed four walking conditions; a separate group of 12 hip or knee arthroplasty patients was assessed at 2 and 10 weeks. Reliability ranged from moderate to excellent across comparisons, while agreement analysis identified relative underestimation of spatiotemporal variables versus motion capture. Postoperative measurements detected improvement.
Interpretation: Small cohorts and variable performance across metrics limit generalization. Celloscope partly funded the study; company-affiliated authors are disclosed. Correlation alone is not agreement.
Real-life gait and motor fluctuations in Parkinson’s disease
Evers et al. · J Med Internet Res · 2020
Twenty-five participants with Parkinson’s disease and 25 controls performed unscripted activities with wearable sensors and video reference. Participants with Parkinson’s disease were observed before and after medication. Gait signal properties showed potential to track motor fluctuations.
Interpretation: Hand position affected wrist and pocket signals. The study supports feasibility in its recording conditions, not autonomous medication adjustment or universal home-monitoring accuracy.
A pooled analysis of older-adult cohorts found that faster baseline gait speed was associated with survival. The reported pooled hazard ratio per 0.1 m/s was 0.88 (95% CI 0.87–0.90).
Interpretation: An association is not evidence that increasing an individual’s walking speed causes a corresponding reduction in mortality. This is not a personalized survival calculator.
The authors distinguish verification of sensor performance, analytical validation of derived measurements, and clinical validation in a specified context of use. The framework supplies a common vocabulary for judging fitness for purpose.
Interpretation: A framework is not a validation result for a particular product. Each proposed endpoint still needs evidence.
Remote gait measures and self-reported lower-limb function
Rozanski, Delgado & Putrino · Front Rehabil Sci · 2023
In 132 rehabilitation participants, smartphone-derived gait measures differed across Lower Extremity Functional Scale categories. Velocity, cadence and stride length helped distinguish functional groups.
Interpretation: Cross-sectional associations do not establish treatment benefit or allow a score to replace patient-reported function. See the source for cohort selection, device methods and disclosures.
Quantitative gait and subsequent cognitive decline
Verghese et al. · J Neurol Neurosurg Psychiatry · 2007
This community-based ageing study examined whether quantitative gait features were associated with subsequent cognitive decline and dementia. The findings support studying gait as a potential early marker within a broader neurological assessment.
Interpretation: Gait is affected by many conditions. These associations do not validate diagnosing dementia, mood or a person’s mental state from a wearable alone.
V3+ adds usability validation to the original framework, asking whether diverse users can operate the technology as intended at scale.
Interpretation: Usability must be evaluated in the target population, including accessibility, burden and practical barriers; a usable interface alone does not establish clinical validity.
A high correlation does not establish agreement. Look for absolute errors, limits of agreement and repeatability in a population resembling your own. Ask whether the tested software, placement and walking conditions match the proposed service. Read the V3 framework.
How to use the ratings and topic labels
Stars indicate editorial relevance to clinicians and researchers using this library: 5 = foundational or broadly applicable; 4 = directly useful for a defined question; 3 = specialist or emerging application; 2 = indirect relevance; 1 = background context. They are not journal impact factors, evidence-certainty grades, product comparisons or estimates of clinical benefit. Lists place higher-relevance entries first; chronological steps and test protocols retain their required sequence. Topic labels use the same colors throughout the library, with text identifying every subject.
Springer Nature
JMIR Publications
American Medical Association
Nature Portfolio
Frontiers
BMJ Group