Development of Optimal Monitor Placement and Accelerometer Algorithms for Personal Contaminant Sensor Platforms[span]Combining physical activity measurement and measurement of air quality in a single wearable exposure system[/span]
NEU mHealth Group Investigators[span]Stephen Intille, Fahd Albinali[/span]
Collaborators[span]Charles Rodes (PI) (RTI International), Bill Haskell (Stanford), Steve Chillrud (LDEO/Columbia)[/span]
Sponsors[span]This work is sponsored by the National Institutes of Health[/span]
Is it possible to use wearable physical activity monitors to improve estimates of exposure to environmental air contaminants in adults and children?
This project is a collaboration among two groups from the physical activity program of Genes and Environment Initiative and two groups from the personal chemical sensor program under the Exposure Biology Program (EBP) of the GEI. The personal chemical sensor awardees are integrating into their monitors accelerometer chips with the primary, simple goal of monitoring subject compliance of wearing the monitors. The overall goal of this application is to leverage the expertise of the physical activity groups who have primary goals of using accelerometer chips for identifying activity type and estimating energy expenditure to develop protocols and algorithms for obtaining similar information from the accelerometer chips that are being built into the personal chemical monitors. The approach is to:1) use data already being collected by the Northeastern/Stanford team with multiple wireless accelerometers worn by people performing various physical activities and see how well the accelerometer data can estimate calories expended, respiration rate and respiration volume; 2) augment planned experiments of the physical activity groups to include current versions of the RTI and Columbia chemical sensors so that data can be collected with multiple devices and used to compare performance of algorithms estimating energy expenditure and allow cross calibration of devices; and 3) to permit discussions on the use of the data from the chemical sensor devices for not only measuring gross energy expenditure but also possibly certain specific postures, ambulatory motions, or other activities of interest.
C. E. Rodes, S. N. Chillrud, W. L. Haskell, S. S. Intille, F. Albinali, and M. E. Rosenberger, “Predicting adult pulmonary ventilation volume and wearing compliance by on-board accelerometry during personal level exposure assessments,” Atmospheric Environment, vol. 57, p. 126-137, 2012.