Development of Android Based Chest Compression Feedback Application Using the Accelerometer in Smartphone
نویسندگان
چکیده
Chest compression depth (CCD) and rate (CCR) are important factors of cardiopulmonary resuscitation (CPR). To assist performing CPR by citizen, a number of CPR related applications are being developed on a smartphone application market. Most of apps provide procedure of CPR. In case of using accelerometer, it is possible to estimate CCD and CCR. In this study, we proposed an app which provides feedback of CCD and CCR. The proposed app provided feedback of CCD and CCR in real time through the calculated displacement using the acceleration signal which is obtained from the built-in accelerometer of smartphone. For the verification, nineteen CPR providers performed chest compressions on a manikin lying on two different surfaces (flat floor and foam mattress on a bed frame) with feedback from the app. We analysed CCD and CCR from the app and the manikin for each surface. When chest compressions were performed on the manikin lying on the flat floor, the mean (SD) of CCD from manikin and developed app were 55.16 (3.09) mm and 55.12 (3.64) mm (p>0.05). And when the manikin lying on the foam mattress, the mean (SD) of CCD were 52.68(4.18) mm and 57.90(2.59) (p=0.047). The CCR was no significant difference between manikin data and app data both surface (p>0.05). The proposed app provided suitable feedback of CCD and CCR for high quality CPR on the flat floor. However, because of the mattress compression depth the app overestimated CCD on foam mattress.
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