Stanford researchers have developed a contrastive learning approach that can significantly reduce the amount of labeled electrocardiogram (ECG) data required for downstream healthcare tasks, such as arrhythmia identification.
This bandage-like multi-lead, continuous ECG monitoring device uses new stretchable electrode material developed in the Bao group to accurately and imperceptibly diagnose cardiac arrhythmia.
Stanford researchers at the Moore Lab have developed an algorithm for on-line, real time post processing of large amounts of neuronal data from high-density, multi-channel electrophysiological recordings to identify which neurons were firing (on-line spike recovery).
Stanford researchers have developed a wirelessly powered, fully internal implant which allows for optogenetic control of neurons throughout the nervous system in mammals, and in particular, mice.