Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Jun 8, 2020
Date Accepted: Sep 22, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Enabling remote patient monitoring through the use of smart thermostat data in Canada: An Exploratory study
ABSTRACT
Background:
Remote patient monitoring has developed in recent years as technology has progressed to deliver such a system’s requirements. However, there is still room for innovation in the types of technologies that are developed, used, and implemented. The solutions provided in this study can expand beyond typically defined features and be used for improved holistic health monitoring purposes.
Objective:
The objective of this project was to validate our hypothesis that remote motion sensors could be used to quantify and track an individual’s movements around the house. Based upon our results, the next step was to determine if this could be a novel data collection method comparable to the national census level surveys administered by governmental bodies. The results will be used to inform a more extensive implementation study of similar smart home technologies to gather data for machine learning algorithms and to build upon pattern recognition and comprehensive health monitoring.
Methods:
A pilot study was conducted, with a sample size of 8, to validate the use of remote motion sensors to quantify movement in the home. A large database containing records from smart home thermostats was analyzed to compare the indicators of sleep, physical activity, and sedentary behaviour developed by the Public Health Agency of Canada and collected through traditional survey methods.
Results:
The results from the pilot study show that there was a significant Spearman correlation coefficient of 0.08 P>0.001, which indicates a positive linear association between the total number of sensors activated and the total number of indoor steps travelled by study participants. Additionally, the indicators of sleep, physical activity, and sedentary behaviour were all found to be highly comparable to those attained by the Public Health Agency of Canada.
Conclusions:
The results demonstrate that remote motion sensors are a viable option when compared to traditional survey data collection methods for health data collection and are also a form of zero-effort technology that can be used to monitor the occupants of a home.
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Copyright
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