Ontology highlight
ABSTRACT:
SUBMITTER: Sundararajan K
PROVIDER: S-EPMC7794504 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Sundararajan Kalaivani K Georgievska Sonja S Te Lindert Bart H W BHW Gehrman Philip R PR Ramautar Jennifer J Mazzotti Diego R DR Sabia Séverine S Weedon Michael N MN van Someren Eus J W EJW Ridder Lars L Wang Jian J van Hees Vincent T VT
Scientific reports 20210108 1
Accurate and low-cost sleep measurement tools are needed in both clinical and epidemiological research. To this end, wearable accelerometers are widely used as they are both low in price and provide reasonably accurate estimates of movement. Techniques to classify sleep from the high-resolution accelerometer data primarily rely on heuristic algorithms. In this paper, we explore the potential of detecting sleep using Random forests. Models were trained using data from three different studies wher ...[more]