Normalization and extraction of interpretable metrics from raw accelerometry data.
Biostatistics
; 15(1): 102-16, 2014 Jan.
Article
en En
| MEDLINE
| ID: mdl-23999141
ABSTRACT
We introduce an explicit set of metrics for human activity based on high-density acceleration recordings from a hip-worn tri-axial accelerometer. These metrics are based on two concepts (i) Time Active, a measure of the length of time when activity is distinguishable from rest and (ii) AI, a measure of the relative amplitude of activity relative to rest. All measurements are normalized (have the same interpretation across subjects and days), easy to explain and implement, and reproducible across platforms and software implementations. Metrics were validated by visual inspection of results and quantitative in-lab replication studies, and by an association study with health outcomes.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Interpretación Estadística de Datos
/
Actividad Motora
Tipo de estudio:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Risk_factors_studies
Límite:
Aged
/
Female
/
Humans
/
Male
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Biostatistics
Año:
2014
Tipo del documento:
Article
País de afiliación:
Estados Unidos