fig4

Machine learning-enabled on-mask triboelectric textile electronic system for real-time respiratory dynamics monitoring

Figure 4. Stability characterization of triboelectric sensors for dynamic respiratory monitoring. (A) Digital image of the simulated respiratory monitoring scenario; (B) Output signals under different respiratory patterns; (C) Algorithmic identification of exhalation/inhalation phases in measured respiratory signal; (D) Algorithmic identification of interference and respiration delay in respiratory signals; (E) Output voltage signal of the sensor over a period of 90 days; (F) Output voltage of textile sensor after mask wearing within 12 h; (G) Amplitude variation curve within 12 h.

Soft Science
ISSN 2769-5441 (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/