Sensors TRIZ Cases

A discriminant-guided denoising model learns device-specific EEG noise patterns to clean collected signals for more accurate analysis.

A three-electrode ECG setup uses filtering and smartphone lead derivation to cut power line interference without a DRL electrode.

Cepstral mean normalization removes subject-specific variation from physiological signals without assuming a fixed data distribution.

Target and reference MRA frames are subtracted to create cross-sectional perfusion images, improving collateral circulation evaluation without extra contrast.

Single-shot echo-shifted blip-up/down EPI acquires reversed k-space data to correct MRI geometric distortion without longer scans.

Dual central and peripheral PPG sensing detects spontaneous circulation faster and more reliably during CPR without prolonged compression pauses.

Correlating central and distal pulse oximetry signals enables continuous, non-invasive perfusion shift and cardiac output trend monitoring.

A wearable sensor matches non-invasive analyte signals to user-specific training data for continuous physiological status alerts with less user burden.

Bend-linked sample rods lock together during pickup, enabling fast, reproducible handling of small liquid samples without rigid layouts.

Load cells arranged under the treadmill surface capture local forces and compute resulting force vectors with less space, wiring, and installation effort.

Machine learning trained on non-paroxysmal ECG data helps identify paroxysmal arrhythmia risk without waiting for rare episodes.

Gradient pulses are adjusted to meet SAR and magnetic field change limits, enabling safer MRI scans without hardware changes.

Integrated video and OCT display aligns depth data with the surgical view, reducing modality switching and head or eye movement.

Near-infrared and red light are tuned by age and cranium thickness to improve language acquisition and reduce anxiety in children with ASD.

Grow-and-prune neural networks bypass manual feature extraction to cut model size and computation for wearable diabetes analysis.

Machine-learned forward and signal translation models map MRI signals to tissue microstructure, improving histology detection on low-cost scanners.

By tuning RF and gradient pulse amplitude and width, this case shortens MRI repetition and scan time while staying within low SAR limits.

Theta-wave EEG analysis identifies forgotten items during retrieval and adapts re-learning to each user's memory ability.

Multi-channel glucose alerts use smart home devices and backup power to cut false alarms and keep notifications active during outages.

Spatial frequency analysis of laser speckle images separates blood flow into velocity indicators, improving PAD microvascular assessment.

High-input-impedance sensing and negative impedance compensation enable accurate non-contact sympathetic nerve monitoring through skin or clothing.

Electromagnetic induction lets a passive biomedical patch transmit sensed signals without batteries, cutting bulk, cost, and safety risks.

Inorganic catalyst electrodes with local pH control improve stability and low-level glucose sensing in saliva samples.

AI-generated questions from media transcripts enable objective speech therapy evaluation, personalized sessions, and better engagement.

LSTM-based sample prediction lets wearable sensor nodes skip predictable transmissions and pack data efficiently while preserving diagnostic accuracy.

Dynamic vacuum, skin draw, and optional heat or vibration help handheld lancets collect more blood in one simple step with less bruising.

A notch-defined sensing layout generates frequency responses without RFID chips, cutting manufacturing cost and harmful substance emissions.

Peripheral nerve stimulation uses electrical or vibrotactile input to reduce tremor without brain surgery or medication side effects.

Targeted vibrotactile and peripheral nerve stimulation reduces essential tremor without brain surgery or medication side effects.

Capacitive sensors woven into a fitted sheet detect urine or feces without conductive strips, reducing electrical risk and false alarms.

Delayed, attenuated heartbeat signals are combined to turn pulse data into continuous light flicker or vibration that better conveys heartbeats.

Heat, electrical pulses, and sensor feedback are combined to improve blood flow and support at-home healing of diabetic foot ulcers.

Dual heated and non-heated transcutaneous CO2 sensing reveals microcirculatory impairment earlier than blood culture confirmation.

Flexible ribbon or line supports with ear or jaw positioning keep EEG electrodes in scalp contact across different head shapes.

Constraining Dixon MRI fat fraction maps to 0-1 values improves ROI measurement accuracy, reduces bias, and supports clearer anatomical display.

Silane-treated metal particles crosslinked in silicone rubber keep this bioelectrode elastic, gel-free, and stable in contact impedance over repeated use.

A detachable air duct guides airflow along the MRI tube to cool head-coil exam sections while preserving laminar flow in tight spaces.

A rigid support, elastic spacer, and adhesive patch keep stable skin contact for motion-tolerant PPG sensing across varied skin conditions.

A battery-less implant mixes neural signals with an external RF carrier to avoid protruding wires and enable continuous monitoring through tissue.

Microwave resonance sensors detect bloodstream substances through skin contact, avoiding blood draws, lab delays, and infection risk.

A rough porous noble metal layer under conductive polymer improves electrode bonding, charge storage, and low-impedance performance.

An added ambient CO2 sensor enables accurate two-point calibration of respiratory gas sensors, reducing drift and errors over time.

Pose sensing is combined with physiological monitoring to suppress false alarms and allow glucagon delivery only when patient position is safe.

Differentially processed audio samples reveal user hearing thresholds by comparing quality under hearing-profile-based DSP settings.

Mild compression and dual-polarized antenna arrays reduce tissue heterogeneity and support 3D breast imaging for earlier cancer detection.

Multiple fat suppression pulses across segmented GRE acquisitions cut respiratory motion artifacts while preserving MRI contrast and SNR.

A pierceable protective membrane preserves hydrogel moisture balance, enabling removable vital-sign electrodes without losing skin conductivity.

Biometric feedback from brainwaves and heart rate adjusts ear-based vagus nerve stimulation to personalize treatment without invasive surgery.

Bioimpedance sensing and machine learning enable comfortable continuous hydration tracking with alerts for abrupt dehydration risk.

Tracking ocular surface temperature between blinks enables continuous detection of tear film breakup for earlier dry eye monitoring.

A biosensor design removes pulse wave components to generate an adaptive baseline signal for noise subtraction.

A physiological information processing apparatus dynamically adjusts sensor operation modes to balance data collection frequency with power consumption constraints.

A physiological signal quality assessment system evaluates ECG segments using a Wavelet Wiener Filter to estimate signal-to-noise ratios.

Electronic control unit detects pin-to-socket mismatches to correct display rendering errors before patient insertion.

Asymmetric incident angles prevent optical rotation cancellation in reflected light, enabling precise blood sugar level calculations.

An absorbable closure device unfolds via elastic restorability to cover cardiac defects, reducing erosion risk from metal wire mesh structures.

A sensor system tracks knee angle and joint motion characteristics during gravity-driven oscillation to determine biomechanical parameters.

A magnetic resonance imaging system calculates a subject magnetic susceptibility map to derive bone tissue distribution from residual field perturbations.

Local analog-to-digital conversion at the tracking coil eliminates transmission lines, reducing RF-induced heating and signal interference with MR imaging.

An electroanatomical mapping system filters electrophysiology data points using defined signal windows to ensure accurate anatomical map generation.

Inflatable ankle support with retaining members resolves the trade-off between rigidity and flexibility for gait correction.

Integrated electrodes in a fabric cover enable direct contact ECG monitoring, reducing skin damage and application time for neonates.

A wearable substrate features a flexible middle portion for physiological sensing and durable end portions housing electronic components.

Conductive cloth sensors mounted on a neck band resolve skin discomfort and allergic reactions while maintaining reliable electrical conductivity.

Multi-parametric MRI generates volume fraction maps of prostate tissue components, resolving small lesions without biopsy.

Dynamic parameter derivation based on signal morphology reduces information loss during symbolic approximation, ensuring consistent anomaly detection accuracy.

A modular electroencephalograph system routes analog-to-digital converter modules via direct serial connections to an embedded computer.

A display layout changing unit adapts biological signal screens based on patient determination information.

Integrates amplitude and wavelet detection to adjust R-peak locations, resolving speed versus precision trade-offs during arrhythmia.

An opaque sensor cover blocks ambient light from reaching the photodetector to prevent false readings during storage.

Magnetic attachment replaces mechanical crimping to eliminate skin trauma and simplify production.

A magnetic resonance imaging system adjusts the flip angle to maintain tissue contrast during object movement.

An optical probe uses a modulator to route light through waveguides for precise nerve cell stimulation.

A wearable garment with electrodes detects electromyography signals to apply targeted neuromuscular electrical stimulation.

Adjustable Atlas bar and sheath create proprioceptive awareness to correct spinal misalignment.

A microwave detection device couples signals into blood vessels to measure frequency shifts for accurate parameter analysis.

Flexible bioelectric sensor array with lines of weakness enables precise patient-specific sizing.

A biosignal detecting garment uses electroconductive fiber electrodes integrated into an adjustable under belt to maintain stable electrical contact with the wearer.

Multi-wavelength optical detection of exhaled breath acetone replaces invasive finger pricks, enabling non-invasive blood glucose monitoring.

A modular wearable sensor uses a flexible spine to separate rigid circuitry from the adhesive strip.

Monitoring distal skin temperature detects circadian rhythm patterns, resolving the trade-off between measurement accuracy and user comfort.

Embedding the circuit substrate in an elastic second electrode unit stabilizes electrical coupling and reduces noise impedance.

A measurement device uses multiple sensors and coherence evaluation to filter erroneous data caused by vibrations, ensuring reliable readings.

A bio-impedance apparatus measures half upper body impedance using two electrodes to analyze body composition.

Infrared LED ring uses machine learning to interpret photoplethysmography data, eliminating pain and infection risks from invasive needle-based testing.

RF saturation pulses suppress venous signals to improve arterial conspicuity in non-contrast magnetic resonance angiography.

A photoplethysmogram sensor uses compensation LEDs and photodetectors to measure tissue spectral response.

A vehicle control device extracts brain wave signals to determine unsafe driving states and issue warnings.

An activity tracking system evaluates collected metrics against predetermined ranges to verify data types.

Local processing filters cardiac anomalies to reduce false events and power consumption while maintaining diagnostic accuracy.

A transdermal sampling device uses microchannels to collect interstitial fluid for analysis.

Magnetic resonance imaging acquires anatomical data and measures boron concentration distribution through spectroscopy.

A hybrid glucometer network merges invasive reference data with continuous noninvasive readings to establish accurate analyte tracking.

A portable open-bore MRI device mounted on a maneuverable gantry system directs its aperture toward static patients.

A joint estimation method integrates standard and double pulsed field gradient data to map brain tissue microstructure.

A symptom-based screening questionnaire identifies obstructive sleep apnea risk through patient-reported indicators.

A processor adjusts sampling frequencies for intracardiac electrodes based on tissue contact likelihoods to optimize signal capture.

Reference and probe antennas measure noise intensity to pinpoint gradient coil interference sites, resolving accuracy versus complexity trade-offs.

A wearable article recess seats an electronics module to prevent sliding, maintaining electrical connections without metal fasteners.