Respiratory Organ Evaluation TRIZ Cases

A thoracic analysis device derives individual lung parameters by combining electromagnetic signal measurements with volume manipulation data.

Adaptive signal processing selects techniques based on sub-signal quality to resolve accuracy complexity trade-offs in heart rate determination.

An adaptor directs nasal and oral expiration gas into a chamber to detect carbon dioxide concentration.

Remote sensory APIs enable biometric data exchange across networks, resolving information loss in traditional audiovisual-only communication sessions.

Electric field generator and sensor detect physiological changes without physical contact.

Segmenting signals into multiple descriptors detects characteristic activities masked by noise, resolving insufficient characterization.

A non-invasive monitoring system acquires patient condition signals to generate alerts for respiratory distress exacerbations.

Infrared video capture identifies heartbeat and breathing frequencies through optical reflection changes, eliminating invasive sensor attachment.

Infrared absorption spectroscopy detects alcohol in breath while simultaneous temperature and humidity sensing compensates for sample dilution errors.

A breath alcohol sensor calculates sample volume by integrating pressure over time to compensate fuel cell output signals for flow variations.

Weighting radar observations via phasor characteristics rejects environmental interference, improving physiological signal detection reliability.

Radio wave reflection monitors breathing volume despite body movement, resolving non-invasive measurement precision trade-offs.

Continuous remote heart rate profiling identifies functional chronotropic incompetence without exercise testing, eliminating white coat syndrome risks.

Selective adsorption differentiates methanol from ethanol, resolving false positives in handheld breath analysis.

A multi-antenna wireless system extracts time series of channel information to monitor breathing and heart rate without wearable devices.

A signal processing device distinguishes multiple measurement targets using directional transmission and reception antennas.

Administering a predetermined gas composition cleanses respiratory pathways, eliminating ambient analyte contamination that skews diagnostic results.

A graphene sensor device measures breath capacitance to identify cannabinoid presence through pattern matching.

A method pairs intrathoracic electrical response signals with fluid content estimates across different subject states to determine a calibration relationship.

A respiration monitoring system processes uncorrupted signal segments to determine respiratory rate with reduced computational load.

A wearable device generates tactile vibration pulses and audio pulses to guide user breathing patterns.

Integrating a radar unit into the radiofrequency antenna eliminates external sensors, reducing preparation time and cost while detecting subtle movements.

Machine learning system identifies brain states to predict performance levels.

A wearable thermal sensor detects exhaled air temperature changes to determine respiratory rate and volume.

A patient device prompts biological inputs at varied intervals to analyze data and adjust testing protocols in real-time.

A system adjusts data transmission frequency between implantable medical devices and external units to conserve processing power.

A breath detecting mat uses a vibration sensor and signal processing circuit to detect micro-vibrations from breathing.

Detects impending syncope via minute ventilation and tidal volume changes without respiratory rate shifts.

Separates real respiratory signals from strong MR local coil interference to restore accurate motion tracking curves.

An implantable loop recorder detects apnea by fusing ECG, pulse oximetry, and bioimpedance signals.

A signal processing device extracts instantaneous frequency and amplitude representations from non-invasive inputs to generate vital sign waveforms.

A processor transforms flow and pressure time series into the time-frequency domain to estimate respiratory impedance.

Segmenting the wearable sensor into disposable and reusable modules reduces replacement costs while maintaining reliable continuous health monitoring.

Liquid trapping filters exhaled breath to capture viral genetic material, eliminating invasive swab collection and complex lab processing steps.

An attachable sensor package measures respiratory rate and metabolic gases to enable continuous monitoring without disturbing the animals.

Segmenting end-tidal breath portions improves acetone detection accuracy while maintaining device simplicity.

A shutter mechanism interrupts airflow to measure pulmonary volume changes via density shifts.

A self-injection-locked oscillator improves FMCW radar sensitivity, resolving echo interference to distinguish vital signs of multiple subjects.

Side-by-side microwave sensors on the chest measure lung water content without complex front-to-back alignment.

An information processing apparatus calculates phase differences between chest and abdominal waveforms during breathing cycles.

Segmenting cardiorespiratory signals differentiates sympathetic and parasympathetic activities, resolving inconclusive tilt-table results for POTS and VVS.

A non-invasive device detects extravascular lung water by analyzing exhaled gas temperature changes during controlled breathing cycles.

A multiple-parameter cannabis detection system uses electrostatic polymer filters to capture nonvolatile drug molecules from exhaled breath.

A terminal device monitors patient biological information to generate nurse calls based on detected abnormalities.

Frequency conversion of accumulated impulse radar frames removes motion artifacts, enabling accurate extraction of heartbeat frequencies.