Extracting and Determining Respiratory Variation by Processing Force Sensor and PPG Data

Respiratory variation (RV) is a typical physiological parameter used in clinical setups to check patient conditions. The RV is used in a variety of clinical scenarios and as the number of patients increases there is an urgent need for monitoring via wearable sensors, which means that it must be possible to robustly estimate RV from the outputs of these sensors. Within this research paper we propose to extract and determine the RV from two type of sensors: force sensor and photoplethysmography (PPG) sensor by applying filters and different types of processing techniques. The raw data that have been used to determine RV level were acquired by using the proposed data acquisition system.