Optical image recognition aligns the beam limiter with the intended target region, reducing unnecessary radiation exposure during medical operations.
Wireless sensors on a facial support capture EEG, EOG, EMG, respiration, and CO2 data to reduce cable-related sleep monitoring errors.
Remote cameras separate cardiac and breathing-motion signals to detect apnoea without contact sensors, reducing false positives and patient discomfort.
Torso sensors convert respiration signals into live visual metrics, helping users align breathing with targets and train heart rate variability.
Adaptive sampling maintains physiological event detection while lowering power use during stable periods and alerting users to likely respiratory events.
Radar-measured cardiorespiratory motion is filtered with respiration-adjusted notch depths to identify heart rate without surgical implants.
Joint-sparse recovery separates cluttered radar signals to localize multiple subjects and extract accurate vital signs from one receiver channel.
Exhaled NO combined with temperature, heart rate, and respiratory rate forms the SINO score for faster, more specific sepsis-risk detection.
An inductive coil and RLC circuit track chest conductivity changes to measure FEV1, FVC, and breathing rate without skin contact.