Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing

arXiv:2301.03713v4 Announce Type: replace-cross
Abstract: Human respiratory rate and its pattern convey essential information about the physical and psychological states of the subject. Abnormal breathing can indicate fatal health issues leading to further diagnosis and treatment. Wireless light-wave sensing (LWS) using incoherent infrared light shows promise in safe, discreet, efficient, and non-invasive human breathing monitoring without raising privacy concerns. The respiration monitoring system needs to be trained on different types of breathing patterns to identify breathing anomalies.The system must also …

abstract anomaly anomaly detection arxiv cs.lg detection diagnosis eess.sp health human information light rate safe sensing shows treatment type wireless