Resources

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

The PADS dataset contains smartwatch-based records from interactive neurological assessments of Parkinsons disease patients, differential diagnoses and healthy controls. The data is complemented with non-motor symptoms and medical history information

A challenge to explore real clinical questions in critically ill patients using the MIMIC. A collaboration with the IEEE Conference on Biomedical and Health Informatics 2018 and the IEEE Conference on Body Sensor Networks.

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

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

TherLiD is an open-source dataset of 13,251 paired temperature readings (contact and infrared) from MIMIC-IV and eICU databases. With added demographics and derived data, it supports research on racial and ethnic disparities in infrared thermometry.

TherLiD is an open-source dataset of 13,251 paired temperature readings (contact and infrared) from MIMIC-IV and eICU databases. With added demographics and derived data, it supports research on racial and ethnic disparities in infrared thermometry.

TherLiD is an open-source dataset of 13,251 paired temperature readings (contact and infrared) from MIMIC-IV and eICU databases. With added demographics and derived data, it supports research on racial and ethnic disparities in infrared thermometry.