Stethoscope TRIZ Cases

A wearable garment integrates percussion devices and sensors to capture respiratory sound data for pleural effusion detection.

An acoustic sensing unit captures respiratory signals and converts them into real-time thermal images for immediate visualization.

Opposing sensor membranes cancel unwanted vibration signals to improve measurement precision without increasing device complexity.

Inflatable bladders adapt to individual ear anatomy, resolving the trade-off between manufacturing complexity and effective sound isolation.

A blood pressure monitor integrates a microphone to detect body sounds during measurement.

A cardiac device detects electromechanical timing to control pacing therapy.

A portable stethoscope sanitation device uses a UV-C emitter and reflective cavity to kill pathogens on patient-facing surfaces.

A system computes and decomposes beat-to-beat ECG intervals to evaluate energy, periodicity, and randomness for quantitative health metrics.

Carbon dioxide administration replaces adenosine to induce hyperemia, improving BOLD MRI sensitivity while eliminating adverse side effects.

A signal acquisition device detects vibroacoustic signals from tissue interactions using integrated sensors and analog-to-digital conversion.

Integrated wearable sensor combines ECG, PPG, and temperature data while driven right-leg circuit removes common mode noise for reliable cardiac monitoring.

A cardiovascular sound classification method divides signal segments into sub-segments to extract specific parameters for multivariate analysis.

A bioacoustic processing apparatus classifies extracted noise components into distinct types to identify sensor attachment states and guide user repositioning.

An adaptive filtering device decomposes mixed audio into primary lung and reference heart signals to isolate respiratory data.

Bioacoustic sensors detect body sounds using downstream analyzers, reducing device complexity while maintaining measurement precision.

An oval earbud flange with varying wall thickness adapts to the ear canal shape, achieving 32 dB noise attenuation without compromising comfort.

A digital stethoscope system analyzes auditory signals using convolutional neural networks to detect respiratory abnormalities and forecast future events.

Segmenting detection into three spatial units captures comprehensive time-series data, enabling noise removal via filtering to resolve insufficient medical precision.

Merging sound collection with internal AI processing eliminates external communication failures and personal information leaks during portable auscultation.

Variable-width bladder geometry maintains optimal occlusion across diverse limb sizes, preventing inaccurate readings from fixed cuffs.

Integrated ambulatory sensors detect chemotherapy-induced dehydration early, preventing treatment delays and dosage reductions.

An ambulatory device measures S3 heart sound intensity to detect pulmonary hypertension without invasive procedures.

A monitoring platform integrates wearable sensors and drones to detect safety incidents.

Acoustical analysis of tracheal sound intensity variations classifies obstructive sleep apnea severity during wakefulness.

A wearable garment integrates a distributed sensor array to capture cardiac and pulmonary sounds from the wearer.

An integrated chest electrode device transmits electrocardiographic signals wirelessly to a pulse detection unit.

A one-piece integrated eartip uses a compressible region and sound delivery tubes to provide a customizable fit for various ear canal sizes.

A tubular acoustic collector extends the sound wave path to a microphone using deformable material.

Closed back volumes isolate speaker drivers from external noise and hollow tubing filtering to preserve low-frequency fidelity.

Replacing biological sample collection with electromyogram and motion sensors detects respiratory abnormalities while reducing patient burden.

Dynamic window length calculation based on fundamental frequency improves diagnosis accuracy for animal heart murmurs.

A radar stethoscope system extracts vital sign acoustic features from electromagnetic return signals without physical patient contact.

Segmented mass ports adjust acoustic mass and dampening via air slots, enabling single-driver customization without increasing device complexity.

Flexible elastomeric cores match skin impedance to resolve contradictions between measurement precision and wearability in cardiovascular diagnostics.

Electronic stethoscope analyzes low and high frequency band power to detect coronary artery disease risk markers.

A hands-free stethoscope system captures internal body sounds and external auditory noise for simultaneous processing.

A disposable stethoscope cover uses a rip cord to split open for easy removal and replacement.

A multi-sensor device combines thoracic impedance with acoustic heart sound detection for non-invasive health monitoring.

A cardiovascular signal segmentation method identifies sub-segments using prior knowledge and verifies them via statistical parameters.

Elongated housing positions end and finger sensors to enable one-handed physiological measurement.

A voice analyzing unit extracts acoustic features from user speech to identify physiological conditions.

A scaffold assembly positions and supports circuit components in an IMD header to prevent unintended movement and disengagement from integrated circuitry.

Electronic device obtains heart rate information using a measurement sensor and identifies electrocardiogram symptoms through automated processing.

A system monitors prosthesis insertion rigidity and elasticity to quantify press-fit fixation quality during hip replacement surgery.

An expandable element adjusts pressure to seal the ear canal and vary sound isolation.

A lung sound analysis system stores discharge-time acoustic signals as reference templates to detect post-discharge abnormalities in heart failure patients.

A telemedicine system captures patient data via interface devices and transmits it to providers.