Driver voice recordings are analyzed over time and frequency to enable rapid respiratory disease detection inside a motor vehicle.
Audio, accelerometer, and oxygen data enable low-complexity home monitoring of apnea, hypopnea, and sleep-position effects.
A cable-integrated processing module filters physiological sensor data before display, preserving mobile device performance and battery life.
An earplug sensor aimed at the tympanic membrane captures grinding and clenching sounds for reliable mobile bruxism detection.