<?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%">Bockelmann, Niclas</style></author><author><style face="normal" font="default" size="100%">Graßhoff, Jan</style></author><author><style face="normal" font="default" size="100%">Hansen, Lasse</style></author><author><style face="normal" font="default" size="100%">Bellani, Giacomo</style></author><author><style face="normal" font="default" size="100%">Heinrich, Mattias P.</style></author><author><style face="normal" font="default" size="100%">Rostalski, Philipp</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram</style></title><secondary-title><style face="normal" font="default" size="100%">Current Directions in Biomedical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.degruyter.com/document/doi/10.1515/cdbme-2019-0005/html</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">17 - 20</style></pages><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>