<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lins, Christian</style></author><author><style face="normal" font="default" size="100%">Klausen, Andreas</style></author><author><style face="normal" font="default" size="100%">Fudickar, Sebastian</style></author><author><style face="normal" font="default" size="100%">Hellmers, Sandra</style></author><author><style face="normal" font="default" size="100%">Lipprandt, Myriam</style></author><author><style face="normal" font="default" size="100%">Röhrig, Rainer</style></author><author><style face="normal" font="default" size="100%">Hein, Andreas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Determining Cardiopulmonary Resuscitation Parameters with Differential Evolution Optimization of Sinusoidal Curves</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cardiac Massage</style></keyword><keyword><style  face="normal" font="default" size="100%">CPR training</style></keyword><keyword><style  face="normal" font="default" size="100%">Curve Fitting</style></keyword><keyword><style  face="normal" font="default" size="100%">Evolutionary Algorithm</style></keyword><keyword><style  face="normal" font="default" size="100%">UNIAMT</style></keyword><keyword><style  face="normal" font="default" size="100%">UNILLM</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006732806650670</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">SCITEPRESS - Science and Technology Publications</style></publisher><pub-location><style face="normal" font="default" size="100%">Funchal - Madeira, Portugal</style></pub-location><pages><style face="normal" font="default" size="100%">665 - 670</style></pages><isbn><style face="normal" font="default" size="100%">978-989-758-281-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, we present a robust sinusoidal curve fitting method based on the Differential Evolution (DE) algorithm for determining cardiopulmonary resuscitation (CPR) parameters â€“ naming chest compression fre-quency and depth â€“ from skeletal motion data. Our implementation uses skeletal data from the RGB-D (RGB + Depth) Kinect v2 sensor and works without putting non-sensor related constraints such as specific view an-gles or distance to the system. Our approach is intended to be part of a robust and easy-to-use feedback system for CPR training, allowing its unsupervised training. We compare the sensitivity of our DE implementation with data recorded by a Laerdal Resusci Anne mannequin. Results show that the frequency of the DE-based CPR is recognized with a variance of Â±4.4 bpm (4.1%) in comparison to the reference of the Resusci Anne mannequin.</style></abstract></record></records></xml>