A processing module qualifies correlation lag values using skew metrics to determine pulse rates from physiological signals.
An optical pulse wave system estimates respiratory states from peak intervals, avoiding slow baseline analysis and reducing equipment complexity.
A pulse oximeter determines clinical stress by extracting respiration features from plethysmographic signal data.
Neural networks predict expiration peaks to dynamically adjust trigger thresholds, resolving interference from RF pulses and variability in respiration signals.
A wearable patch system uses accelerometer and pressure sensor fusion to detect breathing patterns.
A Huber-Kalman filtering algorithm processes Wi-Fi channel state information to extract vital sign waveforms from reflected signals.
A patient monitoring system determines respiration rate by modifying autocorrelation sequences using historical distribution data.
A magnetic microwire sensor coil detects chest wall motion via impedance changes from a magnet.
Receptor pad feedback verifies signal application reliability, preventing muscle deconditioning and reducing respirator weaning time.
Insulated electrode areas enable noise-based contact assessment, resolving measurement reliability issues caused by inconsistent skin attachment.
A variable gain amplifier adjusts impedance monitoring sensitivity to detect apnea episodes in implantable medical devices.
Control device extracts patient respiratory oscillations from reflected radiofrequency waves to adjust magnetic field parameters.
A mobile breath analysis device uses a semiconductor sensor to detect volatile organic compounds in exhaled air.
A camera captures face video to extract motion-based and rPPG respiratory signals for non-invasive breathing detection.
A portable respiratory monitor combines spirometry and nitric oxide detection in one device.
A handheld sampling device uses a membrane to collect aerosols from exhaled breath for rapid drug analysis.