Vesta: A digital health analytics platform for a smart home in a box

This paper presents Vesta, a digital health platform composed of a smart home in a box for data collection and a machine learning based analytic system for deriving health indicators using activity recognition, sleep analysis and indoor localization. This system has been deployed in the homes of 40 patients undergoing a heart valve intervention in the United Kingdom (UK) as part of the EurValve project, measuring patients health and well-being before and after their operation. In this work a cohort of 20 patients are analyzed, and 2 patients are analyzed in detail as example case studies. A quantitative evaluation of the platform is provided using patient collected data, as well as a comparison using standardized Patient Reported Outcome Measures (PROMS) which are commonly used in hospitals, and a custom survey. It is shown how the ubiquitous in-home Vesta platform can increase clinical confidence in self-reported patient feedback. Demonstrating its suitability for digital health studies, Vesta provides deeper insight into the health, well-being and recovery of patients within their home. (C) 2020 The Authors. Published by Elsevier B.V.

Automated summary

The paper discusses the application of the Vesta digital health platform in the homes of patients undergoing heart valve interventions, using activity recognition, sleep analysis, and indoor localization to derive health indicators and provide deeper insights into patient health, well-being, and recovery within their home environment.