Acoustic Sensors TRIZ Cases

A sphygmomanometer adjusts the Korotkoff sound amplification factor based on cuff pressure passage time to maintain signal integrity.

An acoustic sensor array detects fetal heartbeat signals to determine orientation and movement patterns.

A cognitive function evaluation device extracts vowels from speech data to calculate feature values based on formant frequencies and amplitudes.

Multi-sensor fusion analyzes body temperature, sound, and movement to determine physical conditions while resolving ambient noise interference.

A patient monitoring device sends alerts only when the patient is awake using unique ID circuitry and telemetry systems.

Dynamic axis selection filters motion signals to extract breathing features, resolving accuracy issues caused by incorrect sensor alignment.

Kinesthetic sensors collect audio, video, and physiological signals to construct personalized kinetic state models.

A bed system adjusts sleeping posture using non-contact chest displacement detection to stop snoring.

Acoustic sensing replaces electromagnetic detection to eliminate interference and reduce costs while ensuring precise superior vena cava placement.

A flat ultrasonic fingerprint sensor uses a non-uniform contact layer to transmit and receive signals for accurate imaging.

Placing sensors at the nasal alar site overcomes poor peripheral signal quality to enable accurate apnea detection.

Bone conduction MEMS microphones detect bruxism vibrations to replace bulky intraoral guards and protect tooth structure.

Integrating light emitter and detector units on one substrate reduces device volume while maintaining gas detection effectiveness.

Acoustic sensors detect breathing sounds and drive a processor to actuate directional value indicators on a patient monitor display.

Adhesive sensors on a wearable device detect subpulses, replacing manual palpation to resolve accuracy limitations in low blood pressure scenarios.

Acoustic sensors determine signal path length to calculate aortic pulse wave velocity without mechanical artery manipulation.

Pressure equalization pathways in the acoustic coupler compensate for skin elasticity variations, ensuring consistent physiological monitoring.

Audiologic test apparatus generates low-frequency signals to assess probe insertion criteria before initiating the main diagnostic procedure.

Sensor-based measurement of elimination duration identifies urinary health risks and evaluates litter box appeal without video analysis.

Automated acoustic swallow detection system evaluates premature infant feeding maturity.

A topical nerve stimulator activates the hypoglossal nerve to prevent airway obstruction during sleep.

Air quality and sound sensors identify vaping and bullying activities through chemical signatures and acoustic patterns.

A swallowing capture system combines laryngeal sensors with motion cameras to acquire synchronized physiological and kinematic signals.

A hybrid ring smart stethoscope uses a foldable finger-worn structure to enable convenient carrying and remote auscultation.

An implantable device combines ECG electrodes and acoustic sensors to capture comprehensive cardiac data.

Portable device calculates VO2max using optical sensors, avoiding complex lab equipment.

Graded stiffness in the measurement rack presses sensors into tissue at varying depths, resolving signal absorption issues from muscle and fat layers.

Embedded acoustic generator transmits bioimpedance data to the smart watch, resolving the trade-off between user convenience and transmission reliability.

A photoacoustic imaging system corrects signal intensity using a marker absorbing optical pulses to stabilize laser energy emission.

Dual microphones capture ambient noise for real-time filtering, improving signal-to-noise ratio and diagnostic accuracy in noisy clinical environments.

A child monitoring system uses a temperature-sensing underarm band to transmit body heat data wirelessly to a parent unit.

Div-Conq algorithm segments phonocardiogram signals to isolate fetal heartbeats from maternal cardiac activity.

A body-mountable unit receives data-encoded acoustic signals through a two-dimensional sensor array for reliable on-body communication.

A head-worn acoustic sensor detects cerebral vasculature vibrations to identify stroke patterns.

A handheld optical sensor illuminates hair strands to detect fluorescence and near-infrared signals for precise damage assessment.

Continuous sound sampling extracts spectral features to stop snoring without relying on inaccurate prerecorded empirical values.

A voice analysis device extracts acoustic features independent of recording environments to estimate mental and nervous system diseases.

A multidimensional sensor array mechanically couples sensors to a common structural material for biological data sensing.

Combines audio analysis with vocal organ movement tracking to resolve incomplete assessments caused by relying solely on acoustic parameters.

A respiration monitoring device uses accelerometers and acoustic sensors to detect breath signals.

A computing device monitors ambient audio to assist psychosis patients in distinguishing hallucinations from real sounds.

Cloud segmentation separates bedside sensing from central analysis, resolving complexity constraints while maintaining measurement precision.

Earphones measure respiration rate through acoustic coupling and signal processing to provide entrainment sounds that improve sleep quality.

Computerized acoustic analysis replaces invasive laryngoscopy by measuring fundamental frequency contours to objectively detect glottal closure insufficiency.

A head-worn speaker emits ultrasonic waves that reflect off the ear to enable heart rate detection without extra sensors.

A capacitive touch-sensitive device measures user reaction times to visual stimuli using integrated audio wave detection for rapid sensory-motor evaluation.

Microphone in eyeglasses detects breathing vibrations to calculate respiration rate despite ambient noise and movement.

Sensors and a computing unit calculate a precise movement trajectory for the patient couch, eliminating jerky manual docking movements.

A virtual reality psychotherapy system uses head-mounted electroencephalogram sensors to capture patient brain activity for real-time emotional state monitoring.