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Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals. (arXiv:2311.01367v1 [eess.SP])
cs.LG updates on arXiv.org arxiv.org
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. In comparison to existing radar and
camera-based sensing systems for vitals monitoring, this technology uses only a
low-cost ubiquitous light source (e.g., infrared light emitting diode) and
sensor (e.g., photodetector). This light-wave sensing (LWS) system recognizes
different breathing anomalies from the variations of light intensity reflected
from the chest of the …
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