Respiratory Organ Evaluation TRIZ Cases

Parallel filtered and unfiltered oximetry streams improve detection of short desaturation and sleep breathing events without losing timing accuracy.

An RLC sensor coil tracks chest eddy current damping to measure breathing waveforms and lung metrics without direct skin contact.

Projects the predicted ablation zone and confidence margin on patient images so probe settings can be adjusted before healthy tissue is harmed.

Combining upper arm PPG with motion sensors improves respiration rate estimation during movement or vasoconstriction and suppresses low-confidence readings.

Millimeter-wave radar and machine learning estimate sleep stages and apnea events from body micromovements without wearable sensors.

Respiration effort, heart rate, and motion sensing detect wakefulness and sleep stage so OSA stimulation is timed correctly and battery drain is reduced.

A wrist piezoelectric sensor captures venous vibrations to derive HRV and respiration variability without inconvenient contact electrodes.

Parallel radar pipelines separate intended and unintended sleepers, improving contactless hypnogram and sleep score accuracy.

A self-contained mask uses differential pressure sensing to capture natural breathing over time and identify respiratory conditions outside clinics.

Adaptive NLS tracks multiple heartbeat harmonics in radar signals to reduce breathing interference and improve contactless heart rate estimation.

Accelerated breath aerosol capture and impedance sensing replace invasive swabs with rapid SARS-CoV-2 detection in about 20 minutes.

Load-cell bed signals are matched across supine, lateral, prone, and seated postures to preserve heart and respiration monitoring accuracy.

Embedded piezoelectric and pressure sensors in a mattress improve patient posture and bed-exit detection while keeping sensor placement stable.

Combining chest displacement and deformation signals, this case subtracts vibration noise to improve video-based respiration measurement.

Reflectance and transmissive calibration with a third wavelength corrects skin-dependent scattering and absorption errors in SpO2 readings.

An upper arm PPG and motion-sensor wearable estimates respiration rate more reliably during movement and vasoconstriction, with confidence checks.

Adaptive range-cell selection and VMD-GWO decomposition help millimeter-wave radar separate weak heartbeat signals from breathing and clutter.

Continuous wrist oxygen monitoring is paired with fingertip verification to avoid daily interference while preserving measurement accuracy.

Multiple through-holes and adjustable intersecting belts let a flexible trunk MRI coil fit closely, reducing gaps and improving signal sensitivity.

A split gas chamber separates pressure sensing from sealed gas analysis, improving respiratory function testing with minimal patient cooperation.

Self-normalized PPG features and motion cues generate continuous quality scores that improve wearable biomarker reliability across devices.

A collar-mounted AI speaker uses speech, sentiment, and pet sensor data to create responsive pet-owner conversations with manageable complexity.