Natalie Ann MacKinnon Cooper, Sarah Yorke, Alex Tan, Khalid Saeed Khan, Carol Rivas
Qualitative study exploring which research outcomes best reflect women's experiences of heavy menstrual bleeding: stakeholder involvement in development of a core outcome set
BMJ open
objective bci braincomputer interfaces operate three modesonlineoffline andpseudoonline inonlinemode realtime eeg data constantly analyzed inofflinemode signal acquired processed afterwards thepseudoonlinemode processes collected data received realtime main difference theofflinemode often analyzes whole data theonlineandpseudoonlinemodes analyze data short time windowsofflineprocessing tends accurate whileonlineanalysis better therapeutic applicationspseudoonlineimplementation approximatesonlineprocessing without realtime constraints many bci studies beingofflineintroduce biases compared reallife scenarios impacting classification algorithm performanceapproach objective research paper therefore extend current moabb framework operating inofflinemode allow comparison different algorithms apseudoonlinesetting use technology based overlapping sliding windows require introduction idle state event dataset takes account different possibilities task thinking validate performance algorithms use normalized matthews correlation coefficient information transfer ratemain results analyzed stateoftheart algorithms last 15 years several motor imagery steady state visually evoked potential multisubjects datasets showing differences two approaches statistical point viewsignificance ability analyze performance different algorithms inofflineandpseudoonlinemodes allow bci community obtain accurate comprehensive reports regarding performance classification algorithms