Stethoscope TRIZ Cases

Acoustic sensors isolate 100-300 Hz frequencies to identify dicrotic notches, replacing complex ultrasound equipment with simple signal processing.

An inspection device merges electrocardiogram sensing with acoustic detection in a single unit.

Processor-based system extracts spectral and wavelet features from auscultation signals to classify healthy versus abnormal lung sounds.

Multi-chamber auscultation device captures high-frequency acoustic signals via transducers while dampening layers reduce ambient noise interference.

A chest-worn patch sensor integrates ECG, PPG, and impedance electrodes to measure vital signs wirelessly.

Smartphone platform processes electrocardiographic and seismocardiographic signals to measure the Lightning-Thunder interval for beat-by-beat cardiac assessment.

Sensor circuit captures respiratory sounds and spectral analyzer generates frequency band data to identify anomalies.

A copper stethoscope diaphragm employs an annular axially compliant suspension to resolve contamination risks while preserving acoustic-transduction properties.

A multi-sensor device measures temperature, body sounds, and oxygen levels simultaneously.

Acoustic sensing programs analyze patient signals to detect physiological changes.

Separates respiration artifacts from cardiac events using low pass filtering and dynamic threshold adjustments to reduce false arrhythmia detection.

A vapor-deposited barrier coating on medical tubes reduces extractable component leaching while permitting anti-microbial agent diffusion through the layer.

A mobile phone stethoscopic system converts acoustic signals into digital data for remote medical consultation.

Machine learning algorithms process digital stethoscope data to estimate pulmonary artery pressure, replacing invasive catheterization procedures.

A noninvasive detection system uses accelerometers to record skull movements caused by pulsing blood flow.

A suicide risk evaluation device measures electrodermal activity and blood volume variations to assess hyporeactivity in depressed individuals.

A stethoscope component detects heart sound waves to determine tricuspid valve closure timing for pulse transit time calculation.

A monitoring device combines ECG and audio sensors to transmit physiological data wirelessly for algorithmic processing.

Moveable rim features in a unitary diaphragm enable seamless frequency switching without chestpiece rotation, reducing manufacturing alignment defects.

A system converts respiratory sound data into spectrogram images using deep learning to classify sputum types in tracheostomy patients.

A wearable electronic stethoscope converts body sounds into digitized data via a MEMS microphone and RF chip.

Automated electrostimulation vector ranking using physiological feedback reduces manual testing complexity and treatment time.

Dual acoustical sensors detect heart sounds and non-cardiac noise to cancel interference via signal subtraction.

A structure-borne sound sensor detects tooth material during fluid jet excavation, regulating pressure to prevent pulp perforation and excessive removal.

An implantable device analyzes heart sounds to validate initial cardiac event detections.

A segmented electronic stethoscope pick-up head uses a convoluted air path to transmit acoustic vibrations from the patient diaphragm to an isolated microphone.

A hands-free dispenser applies disinfectant to a stethoscope diaphragm.

A noninvasive sensor extracts pulmonic components from second heart sounds to estimate pulmonary artery pressure.

Leadless pacemakers estimate diastolic pressure via ventricular pressure and heart sound timings, eliminating lead-related infection risks.

An auscultatory sound analysis system converts in-body sounds into digital spectrograms to visualize signal strengths across specific frequency ranges.

A wearable monitoring system integrates an accelerometer and sound transducer to capture vital signs.

Roller-based dispenser feeds elastomeric covers that maintain air-tight seals while preventing cross-contamination.

A push-to-fit earplug features a tip cavity that accommodates sound-attenuating body collapse during insertion.

A dual-sensor stethoscope uses a rigid T-shaped tube to rotate sensors independently for stereoscopic auscultation.

A neck-worn sensor interface transmits patient data to a computing device that automatically identifies swallow events.

Replacing mechanical cuffs with optical sensing and heart sound correlation, the system achieves continuous monitoring without dedicated pressure sensors.

Electronic stethoscope uses proximity sensor to detect body contact and activate processing circuitry for acoustic signal analysis.

Acoustic sensors measure arterial pulse wave transit time to exclude pre-ejection period delays, reducing unnecessary occlusive cuff inflation and false alarms.

A wearable medical device detects heart failure using acoustic signatures from built-in sensors.

A system analyzes spectral properties of patient utterances to determine upper airway anatomical parameters.

A cardiac pacing system detects intrinsic ventricular activation times and heart sound characteristics to identify viable tissue sites.

An acoustic scanning device locates intestinal stenosis using abdominal microphones and neural network frequency analysis, reducing surgical risks.

Digital audio filtering in a compact power stethoscope isolates patient sounds from background noise interference for accurate clinical diagnosis.

A posture calculation circuit detects steady-state conditions to gate physiologic measurements, isolating stable data from transient motion noise.

Remote server processes mobile device data to resolve portability versus diagnostic reliability trade-offs.

Merging multiple diagnostic sensors into a unified garment resolves the contradiction between remote accessibility and measurement precision.

A device measures ventricular-arterial coupling using simultaneous electrocardiogram and photoplethysmogram signals to determine pulse wave velocity.

A biological sound analyzing apparatus enhances noise information and calculates correlation between adjacent periods to output continuous noise data.

An adhesive patch integrates multiple acoustic sensors to record body signals and transmit data to a peripheral device.