Neural network evaluation of slopes from sequential volume segments of expiratory carbon dioxide curves

Capnography is currently used to evaluate respiratory efficiency in monitored patients with indirect indications of alveolar dead space and the distribution of ventilation perfusion ratios. However, it has not been associated with the typical spirometric values and associated pulmonary obstructive processes. The purpose of this study was to determine if specific segments of the capnogram could be more closely associated with the status of airway obstruction. Two fully connected ANNs were used to compute forced expiratory volume and forced vital capacity.<>