Skip to main content
. Author manuscript; available in PMC: 2022 Jul 14.
Published in final edited form as: Matter. 2021 Oct 4;4(11):3725–3740. doi: 10.1016/j.matt.2021.09.012

Figure 5. Machine-learning-assisted textile MEGs for wearable respiratory monitoring.

Figure 5.

(A) Textile MEGs integrated on the nursing scrubs for respiratory monitoring. A customized cellphone application was developed for data display, storage, and sharing.

(B) Three different kinds of respiratory patterns: normal breathing, rapid breathing, and coughing were monitored by the textile MEG.

(C–E) Machine learning algorithm to classify different respiratory activities, including data preprocessing (C), feature extraction (D), and model training (E).

(F) Classification precision of different respiratory activities.

(G) Customized cellphone application interface to display the sensing results in the front-ends.