Resources

The project aims to understand occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables.

Type 2 diabetes increases risk for cerebrovascular disease, cognitive and mobility decline in older people. This project evaluated relationship between diabetes, inflammation cerebrovascular reactivity and functional outcomes.

Thermal videos of people with positive and negative COVID-19 tests.

Dataset used for development of an algorithm for on-line anxiety level detection from biosignals.

This database of electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest in seated position and 11 (different) healthy volunteer subjects who were under computer-controlled propofol sedation.

This database of pulse times and amplitudes from electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest and 11 (different) healthy volunteer subjects who were under controlled propofol sedation.

ECG signals were acquired in various MRI scanners to enable the study of the magnetohydrodynamic (MHD) effect. The MHD effect, which is caused by an interaction of the blood flow and the MRI’s high static magnetic field, superimposes the ECG signal.

Measurements of physical activity with wrist-worn Bosch sensor platform to test predictive performance for the duration of hospitalization and readmission in 58 patients with acute illnesses in internal medicine

Diabetes is a risk factor for cerebral hypoperfustion and microvascular disease. This study assessed the effects of diabetic autonomic neuropathy with OH on cerebral vasoregulation.

Dataset collected as part of a study that aimed to determine the effects of intranasal insulin on cognition and motor performance in Parkinson's disease.