Resources

MIMIC-IV-on-FHIR is a hundred patient demo of MIMIC-IV v2.0 in the Fast Healthcare Interoperability Resources(FHIR) format. MIMIC-IV-on-FHIR provides implementers with a real-world FHIR datastore to aid in FHIR research and development.

A model is capable of simulating sinus rhythm, atrial fibrillation and ectopic beats in ECGs and PPGs as well as extreme bradycardia and ventricular tachycardia in PPGs. Different types of noises and artifacts can also be added to the waveforms.

The NCH Sleep DataBank includes 3,984 pediatric sleep studies on 3,673 unique patients conducted at Nationwide Children's Hospital between 2017 and 2019. It contains polysomnography (PSG), clinical annotations, and longitudinal clinical data.

EEG power spectra recorded during anesthesia

How and why does music make us move? This project investigates how music influences small magnitude motion observed when people try to stand still.

PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China.

How and why does music make us move? This dataset was collected as part of a project to investigate how music influences small magnitude motion observed when people try to stand still.

MIMIC-III data converted into TensorFlow SequenceExample format, for use in modeling pipelines.

Clinical notes, annotated by at least two expert annotators for over ten patient phenotypes, including advanced cancer, substance abuse, and treatment non-adherence.

Motion data and heart rate measurements from Apple Watches from sleeping people undergoing polysomnography.