Sensors TRIZ Cases

Adjacent optical fibers in the sensor window reduce internal light pollution by over 40% and hide components via a tinted medium.

Electronic device determines user sleep state using pulse wave and acceleration sensors, correcting heart rate outliers to resolve detection accuracy issues.

A single magnetic resonance acquisition estimates R1, R2 relaxation times, proton density, and apparent diffusion coefficient using integrated gradient echo sequences.

A finite impulse response filter generates digital electrocardiographic signals using scaled Kronecker delta pulses to maintain diagnostic quality.

Adhesive biopotential electrodes detect tongue electrical signals to quantify gustatory sensitivity without invasive procedures.

Coordinates navigator repetition time with imaging repetition time to enable prospective motion correction without disrupting the steady state of magnetization.

A tension adjustment mechanism tightens a flexible retaining element against a subject, reducing setup time and improving image quality.

A switchable permeability membrane enables passive analyte diffusion through skin layers, reducing pain and infection risks from invasive blood sampling.

Trench electrode filled with MXene achieves low contact impedance without skin irritation from wet gels.

Calculating a compensation factor using peripheral k-space data enables accurate noise cancellation without expensive hardware modifications.

Nanoimprinted micro-needle electrodes penetrate the stratum corneum to eliminate gel evaporation and improve signal stability.

Multi-coil RF subsystem generates pre-saturation pulses to align magnetization vectors in non-target regions.

A modular wrist device separates the electronics module from the strap to enable independent charging.

A tail pressing safety lancet uses an active locking part on the cover and a passive part on the elastic arm to permanently constrain the core.

A photoacoustic imaging apparatus applies chromatic adjustments to regions between adjacent signal peaks to facilitate tissue system discrimination.

Automated electrocardiology device quantifies ST segment elevation using precise temporal windows relative to QRS onset.

A single-lead ECG signal processing method extracts valid QRS complexes and calculates time differences between R-wave peaks to determine heart rate.

A biosensor module captures physiological signals via optical spectroscopy to generate scalogram images for a convolutional neural network.

A suppression apparatus generates counterfields to cancel electromagnetic emissions from magnetic resonance devices.

A device weights photoplethysmography signals from multiple skin regions based on spectral harmonic strength to combine clean data.

A glucose meter applies electrical potentials to test strips and measures current flow ratios to identify reused sensors.

Decomposes QRS complex potentials into partial signals to resolve low diagnostic efficiency in standard electrocardiograms.

A biometric sensor classifies physiological states to select specific calculation algorithms.

Operational amplifiers compensate for unstable contact resistances to improve bioimpedance measurement accuracy and reliability.

Eigendecomposition of depth signal matrices separates cardiac pulses from breathing interference to produce accurate heart rate data.

A magnetic resonance imaging technique measures blood oxygen saturation using T2 relaxation time mapping.

Separate transmit and receive phase components using dual-position acquisition to eliminate transceive phase assumption artefacts.

A medical device adjusts cardiac arrhythmia detection thresholds using user-verified candidate events to tailor sensitivity for specific patient needs.

A neurofeedback system computes adaptive threshold values from baseline brain activity biomarkers to generate real-time signals on low-powered devices.

Embedding ultrasound sensors in the middle frame resolves the conflict between device aesthetics and manufacturing complexity.

A computing device confirms user sleep status by analyzing secondary activity data from other devices and sensors.

A boot accelerometer processes acceleration data to detect falls using slope and duration parameters.

Processor calculates ischemic indices and tidal volume from ECG signals to detect abnormal events, reducing re-hospitalization rates.

Attention layer masks input matrices to focus on important features, resolving generalization limits in emotion recognition.

Automated drag control unit calculates maximum muscle strength from repetition counts and movement distance.

A wearable electrocardiographic device uses liquid metal interconnects within stretchable electrodes to maintain electrical conductivity during mechanical deformation.

A magnetic resonance imaging apparatus synchronizes data collection with subject breathing using real-time respiratory level feedback.

A breath condensate collector uses a Peltier device to cool vapor into liquid droplets for sample collection.

Porous paper replaces microfluidic channels, lowering fabrication costs while maintaining reliable sweat flow.

A blood collection tube features a passive mixing labyrinth to blend additives.

A VR headset integrates physiological sensors to measure user biometrics and dynamically adjust sensory output levels.

Prioritizing high signal strength pixels during phase unwrapping prevents principal value rotation and improves water-fat separation accuracy.

A talking dental glove integrates contact sensors and a speaker to enable patient communication during procedures.

A detection system adjusts sensory stimulation frequency based on user reaction latency to identify optimal evoked potential triggers.

A smart ring estimates blood glucose concentration by measuring digit permittivity using electromagnetic waves.

A photoplethysmogram signal quality assessment method uses machine learning to generate a continuous index from cross-channel features.

Buffer units absorb external impacts to maintain the central axis of rotation and protect internal components from damage.