Detecting sleep apnea using wearable and machine learning

Photo by Gregory Pappas on Unsplash (large view)

Photo by Gregory Pappas on Unsplash

(10-02-2020) In a collaboration with imec and ZOL, researchers from IDLab developed machine learning techniques for automatically detecting sleep apnea in bio-impedance data. Their research was recently highlighted on IEEE Spectrum.

You can read the full article on IEEE Spectrum.