Title
Employing an Incentive Spirometer to Calibrate Tidal Volumes Estimated from a Smartphone Camera.
Abstract
A smartphone-based tidal volume (V-T) estimator was recently introduced by our research group, where an Android application provides a chest movement signal whose peak-to-peak amplitude is highly correlated with reference V-T measured by a spirometer. We found a Normalized Root Mean Squared Error (NRMSE) of 14.998% +/- 5.171% (mean +/- SD) when the smartphone measures were calibrated using spirometer data. However, the availability of a spirometer device for calibration is not realistic outside clinical or research environments. In order to be used by the general population on a daily basis, a simple calibration procedure not relying on specialized devices is required. In this study, we propose taking advantage of the linear correlation between smartphone measurements and V-T to obtain a calibration model using information computed while the subject breathes through a commercially-available incentive spirometer (IS). Experiments were performed on twelve (N = 12) healthy subjects. In addition to corroborating findings from our previous study using a spirometer for calibration, we found that the calibration procedure using an IS resulted in a fixed bias of -0.051 L and a RMSE of 0.189 +/- 0.074 L corresponding to 18.559% +/- 6.579% when normalized. Although it has a small underestimation and slightly increased error, the proposed calibration procedure using an IS has the advantages of being simple, fast, and affordable. This study supports the feasibility of developing a portable smartphone-based breathing status monitor that provides information about breathing depth, in addition to the more commonly estimated respiratory rate, on a daily basis.
Year
DOI
Venue
2016
10.3390/s16030397
SENSORS
Keywords
Field
DocType
breathing monitor,smartphone camera,incentive spirometer,calibration,tidal volume
Population,Tidal volume,Spirometer,Simulation,Mean squared error,Breathing,Engineering,Incentive spirometer,Calibration,Estimator
Journal
Volume
Issue
ISSN
16
3.0
1424-8220
Citations 
PageRank 
References 
1
0.39
5
Authors
6
Name
Order
Citations
PageRank
Bersain A. Reyes18010.26
Natasa Reljin2111.78
Youngsun Kong3114.68
Yunyoung Nam4131.81
Sangho Ha510.39
Ki H Chon68513.24