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Recurring patterns in stationary intervals of abdominal uterine electromyograms during gestation (2014)
Journal Article
Di Marco, L. Y., Di Maria, C., Tong, W., Taggart, M. J., Robson, S. C., & Langley, P. (2014). Recurring patterns in stationary intervals of abdominal uterine electromyograms during gestation. Medical and Biological Engineering and Computing, 52(8), 707-716. https://doi.org/10.1007/s11517-014-1174-6

Abdominal uterine electromyograms (uEMG) studies have focused on uterine contractions to describe the evolution of uterine activity and preterm birth (PTB) prediction. Stationary, non-contracting uEMG has not been studied. The aim of the study was to... Read More about Recurring patterns in stationary intervals of abdominal uterine electromyograms during gestation.

Characteristics of atrial fibrillation cycle length predict restoration of sinus rhythm by catheter ablation (2013)
Journal Article
Di Marco, L. Y., Raine, D., Bourke, J. P., & Langley, P. (2013). Characteristics of atrial fibrillation cycle length predict restoration of sinus rhythm by catheter ablation. Heart rhythm : the official journal of the Heart Rhythm Society, 10(9), 1303-1310. https://doi.org/10.1016/j.hrthm.2013.06.007

Background Successful termination of atrial fibrillation (AF) during catheter ablation (CA) is associated with arrhythmia-free follow-up. Preablation factors such as mean atrial fibrillation cycle length (AFCL) predict the likelihood of AF terminatio... Read More about Characteristics of atrial fibrillation cycle length predict restoration of sinus rhythm by catheter ablation.

Accuracy of algorithms for detection of atrial fibrillation from short duration beat interval recordings (2012)
Journal Article
Langley, P., Dewhurst, M., Di Marco, L. Y., Adams, P., Dewhurst, F., Mwita, J. C., …Murray, A. (2012). Accuracy of algorithms for detection of atrial fibrillation from short duration beat interval recordings. Medical engineering & physics, 34(10), 1441-1447. https://doi.org/10.1016/j.medengphy.2012.02.002

Atrial fibrillation (AF) is characterised by highly variable beat intervals. The aims of the study were to assess the accuracy of AF detection algorithms from short analysis durations and to validate prospectively the accuracy on a large community-ba... Read More about Accuracy of algorithms for detection of atrial fibrillation from short duration beat interval recordings.

Comparison of body surface and intracardiac ECG recordings in patients with atrial fibrillation during electrophysiological studies (2012)
Journal Article
Bojarnejad, M., Blake, J., Bourke, J. P., Murray, A., & Langley, P. (2012). Comparison of body surface and intracardiac ECG recordings in patients with atrial fibrillation during electrophysiological studies. IFMBE proceedings, 39 IFMBE, 612-615. https://doi.org/10.1007/978-3-642-29305-4_160

Atrial fibrillation (AF) dominant frequency (DF) is thought to reflect the degree of organisation of underlying atrial activity (AA). Our aim was to evaluate the relationship between the DFs from the body surface electrocardiogram (ECG) and intracard... Read More about Comparison of body surface and intracardiac ECG recordings in patients with atrial fibrillation during electrophysiological studies.

Circadian variation of human ventricular fibrillation dominant frequency (2010)
Journal Article
Langley, P., MacGowan, G. A., & Murray, A. (2010). Circadian variation of human ventricular fibrillation dominant frequency. Resuscitation, 81(8), 950-955. https://doi.org/10.1016/j.resuscitation.2010.03.026

Aim Circadian variation in human ventricular fibrillation (VF) dominant frequency is unknown. If present this would provide evidence of physiological influence on VF. The objective was to quantify the circadian variation in human VF dominant frequen... Read More about Circadian variation of human ventricular fibrillation dominant frequency.

Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: application to ECG-derived respiration (2009)
Journal Article
Langley, P., Bowers, E. J., & Murray, A. (2010). Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: application to ECG-derived respiration. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 57(4), 821-829. https://doi.org/10.1109/TBME.2009.2018297

An algorithm for analyzing changes in ECG morphology based on principal component analysis (PCA) is presented and applied to the derivation of surrogate respiratory signals from single-lead ECGs. The respiratory-induced variability of ECG features, P... Read More about Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: application to ECG-derived respiration.