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.