A Multi-Sensor Monitoring System of Human Physiology and Daily Activities
- 1 April 2012
- journal article
- research article
- Published by Mary Ann Liebert Inc in Telemedicine and e-Health
- Vol. 18 (3), 185-192
- https://doi.org/10.1089/tmj.2011.0138
Abstract
Objective: To present the design and pilot test results of a continuous multi-sensor monitoring system of real-world physiological conditions and daily life (activities, travel, exercise, and food consumption), culminating in a Web-based graphical decision-support interface. Materials and Methods: The system includes a set of wearable sensors wirelessly connected to a “smartphone” with a continuously running software application that compresses and transmits the data to a central server. Sensors include a Global Positioning System (GPS) receiver, electrocardiogram (ECG), three-axis accelerometer, and continuous blood glucose monitor. A food/medicine diary and prompted recall activity diary were also used. The pilot test involved 40 type 2 diabetic patients monitored over a 72-h period. Results: All but three subjects were successfully monitored for the full study period. Smartphones proved to be an effective hub for managing multiple streams of data but required attention to data compression and battery consumption issues. ECG, accelerometer, and blood glucose devices performed adequately as long as subjects wore them. GPS tracking for a full day was feasible, although significant efforts are needed to impute missing data. Activity detection algorithms were successful in identifying activities and trip modes but could benefit by incorporating accelerometer data. The prompted recall diary was an effective tool for augmenting algorithm results, although subjects reported some difficulties with it. The food and medicine diary was completed fully, although end times and medicine dosages were occasionally missing. Conclusions: The unique combination of sensors holds promise for increasing accuracy and reducing burden associated with collecting individual-level activity and physiological data under real-world conditions, but significant data processing issues remain. Such data will provide new opportunities to explore the impacts of human geography and daily lifestyle on health at a fine spatial/temporal scale.Keywords
This publication has 13 references indexed in Scilit:
- Spatial patterns of diabetes related health problems for vulnerable populations in Los AngelesInternational Journal of Health Geographics, 2010
- A multi-instrumented approach to observing the activity rescheduling decision processTransportation, 2009
- Compliance and technical feasibility of long-term health monitoring with wearable and ambient technologiesJournal of Telemedicine and Telecare, 2009
- An automated GPS-based prompted recall survey with learning algorithmsTransportation Letters, 2009
- Telehealth and Diabetes MonitoringTelemedicine and e-Health, 2008
- Development of a wearable global positioning system for place and health researchInternational Journal of Health Geographics, 2008
- Comparison of global positioning system (GPS) tracking and parent-report diaries to characterize children's time–location patternsJournal of Exposure Science & Environmental Epidemiology, 2006
- Not all maps are equal: GIS and spatial analysis in epidemiology.International Journal of Circumpolar Health, 2004
- Measurement of the mechanical power of walking by satellite positioning system (GPS)Medicine & Science in Sports & Exercise, 2001
- WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?Papers in Regional Science, 1970