Stanford University

Evaluates deep-learning methods for estimating QT intervals and identifying prolonged QTc from single-lead cardiac recordings.

Evaluates fabrication approaches and electrode interfaces for a flexible adhesive array designed to record gastrointestinal electrical activity.

Describes a time-varying point-process method for detecting statistically unusual heartbeat intervals in simulated and clinical data.

Describes video-based machine-learning methods for classifying facial palsy, locating movement asymmetry, and quantifying facial function.

Uses computational analysis of ex vivo gastrointestinal motility to characterize early contractile patterns associated with enteric nervous system activity.

Reports human recordings of cervical nerve activity using magnetoneurography and examines relationships with inflammatory markers.

Describes computational analysis of high-resolution DNA melt curves for known genotype classification and detection of previously unobserved genotypes.

Reports fabrication and scaled production methods for adhesive-integrated stretchable sensors used in physiological monitoring.

Describes a digital high-resolution melt platform using controlled thermal cycling for sequence profiling and genotype discrimination.