Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals

no code implementations • 2 Nov 2023 • Md Zobaer Islam, Brenden Martin, Carly Gotcher, Tyler Martinez, John F. O'Hara, Sabit Ekin

In this study, we present a non-contact respiratory anomaly detection method using incoherent light-wave signals reflected from the chest of a mechanical robot that can breathe like human beings.

Anomaly Detection

Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing

no code implementations • 9 Jan 2023 • Md Zobaer Islam, Brenden Martin, Carly Gotcher, Tyler Martinez, John F. O'Hara, Sabit Ekin

The random forest model achieved the highest classification accuracy of 96. 75% with data collected at a 0. 5m distance.

Anomaly Detection