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Behavior Research Methods|March 3, 2019
A robust method for calibration of eye tracking data recorded during nystagmusWilliam Rosengren, Marcus Nyström, Björn Hammar, et al.Journal of Neuroscience Methods|October 4, 2016
Head movement compensation and multi-modal event detection in eye-tracking data for unconstrained head movementsLinnéa Larsson, Andrea Schwaller, Marcus Nyström, et al.Physiological Measurement|January 7, 2021
Waveform characterisation and comparison of nystagmus eye-tracking signalsWilliam Rosengren, Marcus Nyström, Björn Hammar, et al.Behavior Research Methods|May 20, 2016
One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithmsRichard Andersson, Linnea Larsson, Kenneth Holmqvist, et al.Physiological Measurement|March 9, 2010
Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillationFrida Sandberg, Andreas Bollmann, Daniela Husser, et al.Journal of Vision|December 23, 2016
Smooth pursuit detection in binocular eye-tracking data with automatic video-based performance evaluationLinnéa Larsson, Marcus Nyström, Håkan Ardö, et al.Journal of Electrocardiology|March 11, 2008
Spatial characteristics of atrial fibrillation electrocardiogramsUlrike Richter, Martin Stridh, Andreas Bollmann, et al.IEEE Transactions on Bio-Medical Engineering|January 16, 2004
Sequential characterization of atrial tachyarrhythmias based on ECG time-frequency analysisMartin Stridh, Leif Sörnmo, Carl J Meurling, et al.Indian Pacing and Electrophysiology Journal|September 1, 2006
Frequency analysis of atrial fibrillation from the surface electrocardiogramDaniela Husser, Martin Stridh, Leif Sornmo, et al.IEEE Transactions on Bio-Medical Engineering|January 8, 2009
Improved time--frequency analysis of atrial fibrillation signals using spectral modelingValentina D A Corino, Luca T Mainardi, Martin Stridh, et al.Pageof 6