Respiratory Organ Evaluation TRIZ Cases

A three-electrode fuel cell structure enables periodic catalyst regeneration through automated maintenance modes.

Optical detection of reflected light intensity from projected features enables accurate heart rate measurement while eliminating motion noise interference.

Wavelet transform scalogram analysis of fiducial points filters signal morphology noise to determine accurate respiration rates from photoplethysmograph data.

A flexible wiring board unit covers a battery unit to mount an antenna and sensor on opposite surfaces.

An adaptive bioimpedance signal acquisition system dynamically adjusts current injection parameters to maintain measurement integrity.

Depth-based camera system determines respiratory rate using flow signal and power spectrum analysis methods.

A parameter calculation component derives peak pressure and time to peak pressure from air-charged catheter data.

A bifurcating fluid conduit system directs exhaled breath into a compact buffer chamber to isolate the alveolar sample for sensor detection.

A disposable mouthpiece film seal blocks exhaled air until a pressure sensor triggers tearing at a predetermined breaking point.

Calculates inspiratory load index using neural activity signals to avoid expiration inactivity assumptions.

Selective nerve-blocking pulses inhibit phrenic nerve activity before cardiac pacing, preventing diaphragmatic contraction from unintended stimulation.

Distributed framework computes physiological parameter variability to enable early infection identification.

A system estimates death probability after life-sustaining therapy withdrawal using physiological waveform variability.

A reward computing system generates tokens based on IoT sensor data and user location to incentivize socially responsible behavior.

Segmented surfaces redirect exhaled breath laterally to prevent return to the blower, minimizing infectious disease spread without adding device complexity.

Distinct respiratory wire isolates low-amplitude signals from cardiac activity for accurate patient monitoring.

A breathable adherent patch integrates flexible electrodes and a porous membrane to monitor physiological signals.

Wavelet band segmentation and adaptive clipping filter noise artifacts to maintain respiratory rate accuracy during apnea events.

Two transmitter antennas generate constructive interference at the measurement target, stabilizing Doppler signals against disturbances.

Overlapping flaps in the compound membrane generate pressure differentials that maintain precise spirometric measurement across varying breath rates.

Segmented reusable sensor and disposable adhesive carrier eliminate complex alignment steps while maintaining skin comfort.

Dual filter channels process accelerometer signals to detect phrenic nerve activation in implantable cardiac devices.

Fluid-filled partitions transmit pressure waves to sensors, resolving the trade-off between measurement precision and user comfort in continuous monitoring.

A mechanical amplification device uses three-dimensional knitted material and plate-shaped foam bodies to detect biological signals.

A processor-controlled valve dynamically adjusts breath flow past an analyte sensor to maintain precise measurement conditions.

A bellows-based motion detection system provides real-time respiratory feedback to patients during imaging procedures.

A handheld breath testing device displays unique identification indicia to ensure positive user verification during sobriety assessments.

Portable handheld system detects exhaled hydrogen and methane via sorbent or membrane sensors to enable frequent home testing without laboratory delays.

Optical sensor detects skin vibrations to extract respiratory parameters, replacing cumbersome ECG setups with rapid measurement.

An integrated sensor combines temperature and oxygen saturation detection at the nasal ala using a single flexible circuit.

Dual PVDF films detect respiratory temperature and pressure signals, resolving patient discomfort from invasive nasal cannulas.

A handheld device estimates pulmonary function by analyzing pressure signals during forced exhalation.

Electronic ripple cancellation filters pressure pulsations from respiration gas monitor pumps.

Flow selector valves isolate end-tidal air to resolve measurement precision limits in conventional breath analyzers.

A pilot tone RF signal encodes respiratory states into magnetic resonance fingerprinting data for simultaneous tissue property mapping.

Optical imaging extracts respiratory signals from chest wall motion, eliminating invasive sensors and reducing driver distraction during drowsiness detection.

A system analyzes respiratory patterns to determine an individual's state of attention using pre-defined rules and variability indices.

Calculates whole-region and ROI average impedances to differentiate hyperextended and collapsed pulmonary alveoli states.

A signal processing system computes turning motion from image motion vectors to detect sleeping pose changes.

An electrical impedance tomography system reconstructs images using biometric anatomical models and gravity sensors.

A signal processing system derives a surrogate respiration signal from electromyogram data to detect inhalations without nasal cannulas.

A helical tube guides a ball through a spiral path during inhalation to indicate lung capacity levels.

A physiological monitoring system uses light detecting sensors to measure tissue light absorption for calculating fluid responsiveness and regional oxygen saturation.

Integrated ejection mechanism enables sanitary removal of breath analyzer mouthpieces, eliminating contamination risks from bodily fluid contact.

Optical eyewear replaces invasive blood sampling by measuring polarization angle rotation of light reflected from the eye to determine glucose levels.

A bioimpedance measuring device uses multiple electrode sets and an acceleration sensor to detect movement artifacts.

A pattern recognition system classifies pulmonary hypertension types using breath-by-breath gas exchange data collected during cardiopulmonary exercise testing.

Peak detector and electronic switch isolate respiratory impedance signals from electrical fast transient interference.