
This article presents an early warning system for critical events in intensive care units (ICUs). The system uses sound detection techniques with TinyML to quickly identify potentially dangerous events such as suction noises, falls, and cardiac arrests.
TinyML, ICU, Artificial Intelligence in Health, Sound detection
TinyML, ICU, Artificial Intelligence in Health, Sound detection
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