A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatch

TSUNG-CHIEN LUChen, YiYiChenHo, Te-WeiTe-WeiHoChang, Yao-TingYao-TingChangLee, Yi-TingYi-TingLeeWang, Yu-SiangYu-SiangWangYEN-PIN CHENCHIA-MING FUWEN-CHU CHIANGMATTHEW HUEI-MING MACHENG-CHUNG FANGFEI-PEI LAITurner, Anne MAnne MTurner2022-02-212022-02-21201815320464https://scholars.lib.ntu.edu.tw/handle/123456789/594928High-quality cardiopulmonary resuscitation (CPR) is a key factor affecting cardiac arrest survival. Accurate monitoring and real-time feedback are emphasized to improve CPR quality. The purpose of this study was to develop and validate a novel depth estimation algorithm based on a smartwatch equipped with a built-in accelerometer for feedback instructions during CPR.enCardiac arrest; Cardiopulmonary resuscitation; Chest compression; Feedback device; Smartwatch; Wearable device[SDGs]SDG3A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatchjournal article10.1016/j.jbi.2018.09.014302688432-s2.0-85054294573WOS:000460600700006https://scholars.lib.ntu.edu.tw/handle/123456789/529411