Resources

This dataset of electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest in seated position and 11 different healthy volunteers who were under controlled propofol sedation. For the awake and at rest subjects…

The electro-phono-cardiogram (EPHNOGRAM) project focused on the development of low-cost and low-power devices for recording simultaneous electrocardiogram (ECG) and phonocardiogram (ECG) data, with auxiliary channels for capturing environmental audi…

This ECG dataset was acquired in different magnetic resonance imaging (MRI) scanners to study the magnetohydrodynamic (MHD) effect. The MHD effect, which is caused an interaction of the MRI’s strong static magnetic field and the patient’s blood flow…

Sleep deprivation (SD) is associated with decreased cognitive performance, but the underlying mechanisms are poorly understood. To assess the impact of SD on cerebral hemodynamics in the frontal lobe, functional near-infrared spectroscopy (fNIRS) me…

The expedited collection and analysis of pre-clinical syndromic data is delivering novel insights into public health conditions during the ongoing COVID-19 pandemic. We provide Canada’s first publicly available pre-clinical COVID-19 dataset, based o…

The increased likelihood of falls as a consequence of aging or disease is generally associated with rising levels of body sway during stance.  The use of virtual reality (VR) for studying the role in vision in regulating body sway is well establishe…

Extended hospital stays and readmissions are associated with high costs and burden of disease. Effective ways to predict patient outcomes, select those at risk of adverse outcomes, and to prevent these accordingly, are lacking. Physical activity mea…

This dataset comprises head motion observations collected as part of an experiment in which a group of people were asked to stand still for 6 minutes, with the first 3 minutes in silence, followed by 3 minutes with music. Head motion was captured in…

This dataset contains TensorFlow SequenceExamples derived from patient records in MIMIC-III, a freely available set of deidentified medical records from critical care patients at Beth Israel Deaconess Medical Center. Each SequenceExample converts da…

Recent research has applied deep learning imaging techniques to detect pulmonary pathology in chest X-rays (CXR) and achieved performance comparable with radiologists on specific lung abnormalities. Industry has managed to deploy such artificial int…