Unsupervised Machine Learning Identifies Latent Ultradian States in Multi-Modal Wearable Sensor Signals

no code implementations • 6 May 2024 • Christopher Thornton, Billy C. Smith, Guillermo M. Besne, Bethany Little, Yujiang Wang

Wearable sensors such as smartwatches have become ubiquitous in recent years, allowing the easy and continual measurement of physiological parameters such as heart rate, physical activity, body temperature, and blood glucose in an every-day setting.

Incomplete resection of the icEEG seizure onset zone is not associated with post-surgical outcomes

no code implementations • 24 Nov 2023 • Sarah J. Gascoigne, Nathan Evans, Gerard Hall, Csaba Kozma, Mariella Panagiotopoulou, Gabrielle M. Schroeder, Callum Simpson, Christopher Thornton, Frances Turner, Heather Woodhouse, Jess Blickwedel, Fahmida Chowdhury, Beate Diehl, John S. Duncan, Ryan Faulder, Rhys H. Thomas, Kevin Wilson, Peter N. Taylor, Yujiang Wang

Retrospective analysis of icEEG recordings from 63 subjects (735 seizures) identified seizure onset regions through visual inspection and algorithmic delineation.

EEG

Diminished circadian and ultradian rhythms in pathological brain tissue in human in vivo

no code implementations • 13 Sep 2023 • Mariella Panagiotopoulou, Christopher Thornton, Fahmida A Chowdhury, Beate Diehl, John S Duncan, Sarah J Gascoigne, Andrew W McEvoy, Anna Miserocchi, Billy C Smith, Jane de Tisi, Peter N Taylor, Yujiang Wang

Chronobiological rhythms, such as the circadian rhythm, have long been linked to neurological disorders, but it is currently unknown how pathological processes affect the expression of biological rhythms in the brain.

EEG