Time Series Dataset for AI-driven Identification of Early Warning Patterns of Pressure Ulcers

This dataset contains data of a healthy control group that used the wearable sensor device at home and a bedridden patient group that used the wearable sensor device during a clinical study at the Department for Plastic Surgery and Hand Surgery of the University Hospital Klinikum rechts der Isar. For each patient the reflective SpO2, the skin temperature and the pressure applied on the skin at pressure ulcers risk areas is recorded time continuously with the wearable sensor system. Additionally, the heart rate and accelerometer data of the main electronics is also time continuously acquired. Physical data and relevant preconditions are saved in the meta data. The screening data contains the date of the positive Phillips finger tests and vital signs recorded by the medical staff (blood pressure; finger clip oximeter: heart rate, SpO2; ear thermometer: tympanic temperature)