Benjamin Ghaemmaghami1, Ridwan Alam1, Jiaqi Gong2, David Peden, John Lach1
18:15 - 20:15 | Mon 5 Mar | Caribbean ABC | MoPO.63
Continuous assessment of air pollutant exposure is vital for patients with chronic pulmonary diseases like asthma. This paper presents a method for estimating minute ventilation (VE) using non-invasive mobile ECG and inertial sensors. Sensor data was collected from 12 subjects while performing ambulatory and sedentary activities and physical exercises. ECG features and user activity contextual information extracted from the inertial data were used to train adaptive regression models for VE estimation. Resulting models reveal the potential of the proposed method for continuous exposure monitoring in respiratory health applications.