WEARABLE HEALTH TECHNOLOGIES & CLINICAL ANALYTICS

Engineering better health through research, technology & data.

WEARMED brings together clinical research, biomedical analytics and technology expertise to support the evaluation, development and practical application of innovative health technologies.

RESEARCH-DRIVEN SOLUTIONS  ·  BOLU, TÜRKİYE
01 / ABOUT WEARMED

Scientific thinking.
Practical innovation.

WEARMED is a Türkiye-based health technology company operating at the intersection of healthcare, engineering and data science. We focus on wearable technologies, biomedical data analytics, movement assessment, clinical research and digital health innovation.

Our multidisciplinary approach is informed by peer-reviewed research in wearable sensor evaluation, human movement and clinical rehabilitation. We translate scientific expertise into practical research and technology development support.

Research-drivenMultidisciplinaryEvidence-oriented
02 / OUR EXPERTISE

From research to real-world impact.

Specialised research, evaluation and consulting at the intersection of health, engineering and data science.

01

Wearable Technologies & Sensor Validation

Design and evaluation of wearable sensing solutions for health, movement and physiological monitoring. Areas include device benchmarking, sensor placement, measurement reliability, signal quality, algorithm assessment and performance testing in laboratory, clinical and real-world settings.

DEVICE PERFORMANCE & VALIDATION
02

Human Movement & Biomechanical Analytics

Quantitative assessment of gait, posture, balance, physical activity and functional performance. We support movement data collection, inertial sensor analysis, activity classification and objective metrics for healthcare, rehabilitation, ergonomics and occupational applications.

MOVEMENT INTELLIGENCE & BIOMECHANICS
03

Clinical Research & Medical Technology Evaluation

Methodological and analytical support for clinical investigations and technology evaluation, including study design, outcome selection, feasibility assessment, clinical data collection, statistical analysis and evidence generation for product development.

CLINICAL EVIDENCE & RESEARCH
04

Biomedical Data Analytics & Artificial Intelligence

Processing and interpretation of physiological signals, wearable data and multidimensional health datasets. Areas of interest include signal processing, feature extraction, statistical modelling, machine-learning applications and data-driven algorithm evaluation.

DATA SCIENCE & INTELLIGENT SYSTEMS
05

Digital Health & Remote Monitoring Solutions

Research and development support for connected health, remote monitoring, telerehabilitation and digital rehabilitation. We explore ways to combine wearable measurements, patient-reported outcomes and functional assessments into meaningful monitoring frameworks.

CONNECTED HEALTH & REHABILITATION
06

R&D Collaboration & Scientific Consulting

Research-oriented consulting for technology firms, healthcare organisations, academic institutions and industrial partners, covering technology feasibility, independent evaluation, experimental protocols, scientific reporting and research translation.

RESEARCH PARTNERSHIPS & CONSULTING
03 / HOW WE WORK

Better questions.
Better evidence.
Better decisions.

Our approach adapts to the intended use, technical requirements and application environment of each project, from initial feasibility to transparent reporting.

01
DefineClarify the research question, intended use, outcomes and evaluation framework.
02
Design & MeasureDevelop appropriate protocols, measurement procedures and data quality safeguards.
03
AnalyzeApply rigorous signal processing, statistical methods and context-aware interpretation.
04
TranslateCommunicate findings, limitations and actionable next steps for research or development.
04 / RESEARCH & SCIENTIFIC PUBLICATIONS

Scientific evidence driving technological innovation.

Our scientific foundation is strengthened by peer-reviewed research in wearable technologies, sensor validation, human movement analytics and clinical rehabilitation. These publications reflect the research expertise and evidence-based approach that underpin WEARMED's commitment to advancing health technologies.

DIGITAL HEALTH · 2026

Agreement of a Wearable Activity Monitor with Reference Devices in Post-operative Inpatients: A Method-comparison Study

Clinical method-comparison research involving 99 postoperative inpatients, with an investigational wearable and reference devices. The wrist-based step-count comparison with Axivity AX6 yielded a concordance correlation coefficient of 0.850.

View publication ↗
PEERJ · 2026

Why Your Smartwatch May Be Misleading Your Doctor: A Cross-sectional Study on the Impact of Mobility Aids on Wearable Accuracy in Older Adults

Research involving 42 adults assessed how walking aids and different walking speeds influence wearable step-count measurements. Wrist-worn measurements underestimated steps during rolling-walker use.

View publication ↗
05 / WORK WITH US

Let's connect research with innovation.

We welcome discussions with medical technology developers, research teams, healthcare organisations and industrial partners seeking scientific consulting, technology evaluation or collaborative R&D.

contact@wearmedtech.com ↗
AREAS OF COLLABORATION
Technology feasibility & evaluation
Wearable and physiological data analytics
Clinical and human movement research
Research partnerships & scientific consulting