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.

Anti-seizure medication tapering is associated with delta band power reduction in a dose, region and time-dependent manner

1 code implementation • 2 May 2024 • Guillermo M. Besne, Nathan Evans, Mariella Panagiotopoulou, Billy Smith, Fahmida A Chowdhury, Beate Diehl, John S Duncan, Andrew W McEvoy, Anna Miserocchi, Jane de Tisi, Mathew Walker, Peter N. Taylor, Chris Thornton, Yujiang Wang

Anti-seizure medications (ASMs) are the primary treatment for epilepsy, yet medication tapering effects have not been investigated in a dose, region, and time-dependent manner, despite their potential impact on research and clinical practice.

EEG