Wearable Sensor
Validation
Study design and device-to-reference comparisons for step count, walking distance and other sensor-derived outputs. Analyses can include agreement, bias, limits of agreement, and measurement error.
We help health technology teams evaluate wearable sensors in real-world conditions—through method-comparison studies, movement analytics, and clinically informed research protocols.
WEARMED is an independent health technology company based in Bolu, Türkiye. We focus on wearable sensor performance, human mobility measurement, and digital health research support.
Our approach draws on the founder’s peer-reviewed academic research in postoperative patients and adults using mobility aids. These publications demonstrate relevant scientific experience, not prior commercial projects undertaken by WEARMED.
Practical research services for device developers, R&D teams and organizations seeking defensible, context-specific evidence.
Study design and device-to-reference comparisons for step count, walking distance and other sensor-derived outputs. Analyses can include agreement, bias, limits of agreement, and measurement error.
Structured movement protocols, slow-walking and assistive-device testing, placement comparisons, time-series quality control, and interpretation of mobility measures.
Feasibility and observational study planning, clinical outcome selection, statistical analysis, and clear technical reporting for digital health evaluation.
Our workflow is tailored to the target population, wearable placement, reference method and intended use. We distinguish device agreement from criterion validity and clearly report limitations.
Published academic research by our founder and coauthors, illustrating scientific experience relevant to wearable validation and rehabilitation measurement.
Prospective clinical evaluation involving 99 postoperative inpatients, comparing an investigational wearable activity monitor with research- and consumer-grade reference devices. Wrist-based step-count agreement with Axivity AX6: CCC 0.850.
View peer-reviewed article ↗Study of 42 adults examining step-count accuracy under assisted walking and different treadmill speeds. Apple Watch measurements underestimated steps by 36.4% during rolling-walker use.
View peer-reviewed article ↗These publications describe independently conducted academic research by WEARMED's founder and collaborators. They are not presented as studies sponsored or conducted by WEARMED, nor do co-authorship affiliations imply a corporate partnership or endorsement.
Tell us about your device, intended use, target population and research question. We welcome inquiries about feasibility assessments, independent measurement studies and technical research support.
contact@wearmedtech.com