Respiratory Organ Evaluation TRIZ Cases

A video processing system reconstructs 3D surface maps from spatial distortions in a patterned thoracic region to estimate tidal chest volume and respiration rate.

A load detector system classifies body movements to adjust respiratory rate output values based on motion type.

A transcutaneous vagus nerve stimulation device adjusts pulse parameters using real-time physiological detection.

Asymmetric antenna gains create unequal Doppler shifts for body movement cancellation while preserving vital sign detection.

Analyzing tracheal breath sound power spectral features differentiates obstructive sleep apnea patients from healthy controls without overnight polysomnography.

A breath sampling mask uses a MEMS gyroscope to detect head angular displacement and generate alarm signals for real-time user feedback.

Local anomaly detection filters ECG data before transmission, reducing bandwidth usage while maintaining reliable monitoring coverage.

A peripheral pulse wave detection system extracts sub-signals for respiratory rate estimation.

A smartphone adapter captures color changes on a chemical detector surface to measure exhaled CO2 concentration.

An electrochemical test strip detects Helicobacter pylori via pH changes in exhaled breath samples.

A breath sampling tip with a cheek-inserted tube isolates the sample from saliva and tongue interference to improve measurement reproducibility.

Outflow openings in the sample collector prevent backflows and dynamic pressures, improving measurement accuracy.

Switching impedance measurer modes compensates for contact impedance, maintaining measurement accuracy despite reduced electrode size.

A patient monitoring system segments photoplethysmograph signals using fiducial points to isolate respiratory information from pulse wave morphology.

Load detectors calculate center of gravity position to differentiate body motion from respiration, reducing mistaken notifications.

Graphene varactors use non-covalent surface modification for volatile organic compound detection.

Audio sensor determines end-of-breath timing to resolve sampling accuracy versus device complexity in handheld analyte detection.

Gated chemical exchange saturation transfer imaging resolves coarse spatiotemporal resolution limits in cardiac pH analysis.

A non-linear adaptive filter removes cardiac artifacts from impedance respiration signals by tracking heart rate changes.

A method combining multiple interval length estimation techniques to process physiological rhythm signals accurately.

Dual heating elements on an electrochemical sensor eliminate temperature gradients, enabling faster operational readiness and accurate measurements.

An ultra-wideband radar collar resolves surface reflection noise to deliver accurate respiratory and cardiac monitoring without physical contact.

Segmenting the pressure map into independent regions reduces information processing quantity while maintaining high-speed position detection accuracy.

Atomized indicator fluid increases reactable surface area, enabling analysis of small breath samples from compromised subjects.

Dual quadrature channels eliminate blind zones and maintain measurement precision during patient movement by filtering and correlating return signals.

Adaptive illumination control maintains optical detection signal quality despite ambient lighting changes, ensuring accurate non-contact vital sign measurement.

Adaptive sampling and humidity regulation correct volume errors to improve resting energy expenditure measurement accuracy.

Classifying respiratory obstruction types reduces unnecessary stimulation and energy consumption while maintaining therapeutic effectiveness.

Biomarkers detect obstructive apnea using bioelectric signals, addressing insufficient measurement precision in current monitoring systems.

Location-specific normalization parameters reduce inter-individual variability in physiological signals without requiring expensive calibration equipment.

Mapping test speech feature vectors to reference sequences minimizes total distance, enabling accurate identification of physiological state changes.

Segmenting the sampling interface into a disposable unit prevents disease transmission while maintaining measurement precision through passive flow control.

A non-contact sleep monitoring system uses wireless signal detection to analyze user movement and calculate sleep quality without wearable devices.

Zero-crossing analysis estimates breathing rates from radar signals, reducing computational complexity while maintaining robustness against subject movement.

Radiofrequency heating shrinks tongue tissue to maintain airway patency without uncomfortable masks.

Synchronized orthogonal x-ray sequences track internal target anatomy positions over time during breathing cycles.

An RF sensor detects biometric signals to determine sleep latency without user intervention.

A breathing sensing device uses a diaphragm with two pressure chambers connected by flow passages of different cross-sectional areas.

Microwave radar extracts respiration and heart rate waveforms to resolve the trade-off between contact-based accuracy and non-contact user comfort.

Terahertz wave plethysmography detects cardiac pulses via skin reflectance, reducing cluttering noise from breathing artifacts.

A remote vitals monitoring platform streams continuous patient data from sensors to enable live clinical assessment.

A wearable device captures photoplethysmographic signals to determine respiration rate.

Extracting phase positions from raw photoplethysmography signals avoids filtering information loss, improving measurement precision.

Segmenting the measurement cycle into fast initial, intermediate, and slow phases reduces overall time while maintaining accuracy.

A parameter determination system analyzes time enhancement curves to estimate cardiopulmonary function and optimize injection flow rates.

Dual smartphone cameras capture photoplethysmogram signals and chest movement data, resolving the trade-off between measurement accuracy and device complexity.

A PPG signal processing system segments photoplethysmograph data to isolate contiguous usable portions.

A biometric touch scanner integrates ultrasonic fingerprint sensing with optical liveness detection for robust authentication.