Stethoscope TRIZ Cases

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

A movable diaphragm footing slides along an angled annular groove to adjust sound intensity, reducing assembly effort and preventing leakage.

Multi-sensor heart sound locator determines optimal auscultation positions via vibration signal analysis.

A heart sound extraction device acquires piezoelectric signals from a sheet sensor to isolate cardiac vibrations without direct contact.

Neural networks classify acoustic heart signals into categories, then fit data to dynamic state models to resolve detection accuracy versus processing time.

Electronic system detects fundamental frequency in vowel sounds to extract cardiovascular heartbeat information from audio signals.

A heart sound recognition circuit identifies intra-heart sound energy and time indications using multiple waveforms.

Heart sound variability analysis detects atrial fibrillation episodes using amplitude and morphology variations of the first heart sound.

Integrally molded polymeric chest piece with groove positions diaphragm to maintain acoustic quality while reducing production costs.

A headset with microphones passively detects vibrations from cerebral vasculature to extract unique diagnostic signals.

Cross-correlation filtering isolates noise in auscultatory sound signals, ensuring reliable coronary artery disease detection despite sensor detachment.

Real-time rigidity and elasticity monitoring replaces qualitative surgeon assessment to quantify prosthesis press-fit fixation.

Aligns multichannel accelerometer signals via covariance analysis to eliminate R wave detection and reduce processing power.

Multiple microphones isolate loudspeaker and external noise to improve detection accuracy during movement.

Dual accelerometer sensors estimate signal-to-noise ratio by compensating for unequal time shifts and gains to resolve imbalances.

Detection apparatus at cleaning stations records stethoscope usage and sanitization cycles, reducing nosocomial infection risks from cross-contamination.

A chest signal recording system uses a remote control device to generate guiding information for users during acoustic data capture.

A diagnosis device extracts feature parameters from breathing sound data to classify diseases using a pre-trained differential model.

An acoustic catheter stethoscope captures blood flow sounds to identify biomedical conditions through signal processing.

Automated vibratory insertion tools standardize acetabular cup placement by monitoring interface forces to prevent bone fractures during installation.

Injection molding encloses the sound conducting assembly in one step, eliminating manual insertion and ensuring uniform wall thickness.

A mobile circuitry segments heart signals to compute spectral width and peak frequency for automated murmur classification.

Ambulatory medical device uses multiple sensor metrics to detect worsening cardiac conditions and determine stimulation parameters.

Signal processing circuit detects physical activity transitions to classify heart sound characteristics for cardiac monitoring.

A biological examination apparatus extracts up-down and front-back motion components from magnetic field distance data to generate two-dimensional trajectory graphs.