DEVELOPMENT OF BREATHING FLOW RATES AS A BIOPHYSICAL MARKER AND AI-ASSISTED BREATHING SENSOR FOR THE DETECTION OF ASTHMA AND CHRONIC OBSTRUCTIVE AIRWAY DISEASE
Changes in human breathing pattern and rate are clinical manifestations of many diseases involving respiratory changes and failure, including asthma, anaemia, septic shock, anxiety attacks, pulmonary embolisms, heart attacks, emphysema, pneumonia, hypothyroidism and so on. Current methods of detecting changes in breathing patterns are very limited and cumbersome in clinical settings. For instance, spirometry can be used to measure lung function and volume at a single point in time only, therefore its use in inpatient setting for continuous assessment is questionable. Plethysmography is bulky and requires patients to perform the test in a chamber with specific steps to follow for accurate results.