<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lins, Christian</style></author><author><style face="normal" font="default" size="100%">Friedrich, Björn</style></author><author><style face="normal" font="default" size="100%">Hein, Andreas</style></author><author><style face="normal" font="default" size="100%">Fudickar, Sebastian</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor</style></title><secondary-title><style face="normal" font="default" size="100%">Health and Technology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">161-173</style></pages><abstract><style face="normal" font="default" size="100%">Cardiopulmonary resuscitation (CPR) is one of the most critical emergency interventions for sudden cardiac arrest. In this paper, a robust sinusoidal model-fitting method based on a Evolution Strategy inspired algorithm for CPR quality parameters – naming chest compression frequency and depth – as measured by an inertial measurement unit (IMU) attached to the wrist is presented. The proposed approach will allow bystanders to improve CPR as part of a continuous closed-loop support system once integrated into a smartphone or smartwatch application. By evaluating the model’s precision with data recorded by a training mannequin as reference standard, a variance for the compression frequency of ± 2.22 compressions per minute (cpm) has been found for the IMU attached to the wrist. It was found that this previously unconsidered position and thus, the use of smartwatches is a suitable alternative to the typical placement of phones in hand for CPR training.</style></abstract></record></records></xml>