Vesta: A Digital Health Analytics Platform for a Smart Home in a Box

Ryan Mcconville; Gareth Archer; Ian J Craddock; Michal Kozlowski; Robert J Piechocki; James Pope; Raul Santos-Rodriguez

doi:10.1016/j.future.2020.07.046

Vesta: A Digital Health Analytics Platform for a Smart Home in a Box

Ryan Mcconville^*, Gareth Archer^*, Ian J Craddock^*, Michal Kozlowski^*, Robert J Piechocki^*, James Pope^*, Raul Santos-Rodriguez^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

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

Original language	English
Pages (from-to)	106-119
Number of pages	14
Journal	Future Generation Computer Systems
Volume	114
DOIs	https://doi.org/10.1016/j.future.2020.07.046
Publication status	Published - 25 Jul 2020

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SPHERE

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EurValve
Craddock, I. J. (Principal Investigator)
1/02/16 → 31/01/19
Project: Research, Parent

Dr Ryan McConville
- ryan.mcconvillebristol.acuk
- School of Engineering Mathematics and Technology - Senior Lecturer in Artificial Intelligence
Person: Academic

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title = "Vesta: A Digital Health Analytics Platform for a Smart Home in a Box",

abstract = "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",

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author = "Ryan Mcconville and Gareth Archer and Craddock, {Ian J} and Michal Kozlowski and Piechocki, {Robert J} and James Pope and Raul Santos-Rodriguez",

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month = jul,

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doi = "10.1016/j.future.2020.07.046",

language = "English",

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pages = "106--119",

journal = "Future Generation Computer Systems",

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T2 - A Digital Health Analytics Platform for a Smart Home in a Box

AU - Mcconville, Ryan

AU - Archer, Gareth

AU - Craddock, Ian J

AU - Kozlowski, Michal

AU - Piechocki, Robert J

AU - Pope, James

AU - Santos-Rodriguez, Raul

PY - 2020/7/25

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N2 - 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

AB - 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

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DO - 10.1016/j.future.2020.07.046

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SP - 106

EP - 119

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

ER -

Vesta: A Digital Health Analytics Platform for a Smart Home in a Box

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