WoW - Wearable Respiration Monitoring Dataset

This dataset was acquired by the Institute of Systems and Robotics, University of Coimbra, as a part of the CMU-Portugal WoW project, Wireless biOmonitoring stickers and smart bed architecture: toWards Untethered Patients (https://inovglintt.com/financiamento/wow/). The main objective of the project is to develop wearable devices for remote and continuous patient monitoring. As a part of this project, we focused on respiration data, to evaluate methods for estimation of human respiration rate through simple and low-cost wearable patches. We are as well interested to understand how body motion, and position (sitting/standing/moving) affects the accuracy of the estimation. Hence, we have recorded data from different sensor inputs. This includes printed, thin-film, and stretchable skin-mounted strain gauges installed on different body locations, bioimpedance measurements via skin-interfacing electrodes, and a chest/belly-mounted accelerometer. This dataset contains respiration data from 4 subjects. In all measurement sessions, we also acquired ground truth data via a nose-mounted thermistor. The dataset can be used along with sensor fusion and machine learning techniques, in order to develop algorithms that can precisely estimate the respiration rate, during different body positions and activities.