Evidence synthesis
SCOPE-MOVE
Static evidence explorer for locating and comparing wrist-accelerometer prediction models across validation studies.
Work
A curated overview of the main research and development strands across measurement science, digital health, evidence synthesis, and data interoperability.
Evidence synthesis
Static evidence explorer for locating and comparing wrist-accelerometer prediction models across validation studies.
Measurement science
Static and dynamic assessment of research-grade wearable accelerometers, including drift, calibration, repeatability, and signal behaviour.
Semantic interoperability
Ontology-informed representation of behavioural events and bout-level outputs using FAIR and semantic web principles.
Reporting quality
Transparent reporting guidance for accelerometer-based prediction models in 24-hour movement behaviour analysis.
Digital health analytics
Feature extraction and modelling using continuous glucose monitoring, heart rate, steps, sleep, and physical activity data.
Signal processing
Research on whether calibration and harmonisation pipelines improve feature equivalence across wrist-worn accelerometers.