Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications | 2021

SpiroMilli: Bringing Ad-hoc Spirometry to 5G Devices

 
 
 

Abstract


Figure 1: (a) Exhalation on a mmWave device; (b) Phase of the reflected signal shows tiny vibrations during airflow; (c) Timesynchronized vibration signals from multiple phased-array antennas; (d) Signal processing to improve fidelity, track moving reflectors, and estimate distance-invariant vibration; (e) CNN-LSTMarchitecture tomap physical vibration to 7 key spirometry indicators; and (f) Predicted flow rate in comparison to ground-truth for two subjects.

Volume None
Pages None
DOI 10.1145/3446382.3448732
Language English
Journal Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications

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