Ontology Based Annotation of Contextualized Vital Signs

Representing the kinetic state of a patient (posture, motion, and ac‐ tivity) during vital sign measurement is an important part of continu‐ ous monitoring applications, especially remote monitoring applica‐ tions. In contextualized vital sign representation, the measurement result is presented in conjunction with salient measurement context metadata. We present an automated annotation system for vital sign measurements that uses ontologies from the Open Biomedical Ontolo‐ gy Foundry (OBO Foundry) to represent the patient’s kinetic state at the time of measurement. The annotation system is applied to data generated by a wearable personal status monitoring (PSM) device. We demonstrate how annotated PSM data can be queried for contextual‐ ized vital signs as well as sensor algorithm configuration parameters.