Sensors TRIZ Cases

Micro-protrusions around a sensing section amplify weak tissue signals at the target interface while limiting noise for more accurate measurements.

Dynamic impedance sensing identifies target nerve locations before microcurrent delivery, improving migraine treatment accuracy and consistency.

Load cells beneath the treadmill running surface simplify force-plate installation while capturing accurate stride, gait, and load data.

Multi-frequency impedance sensing estimates vitamin D non-invasively by combining electrode measurements with biometric data for better accuracy.

Compression textile, dry electrodes, and flexible interconnects keep muscle activity signals stable during movement without invasive or gel-based sensing.

A removable-top neonatal hat improves head access during care while integrated optical sensing tracks heart rate, breathing, and SpO2.

LED-photodiode pairs with movable curtains measure biaxial ground reaction forces in footwear without bulky force plates or gait disruption.

Two-stage R-wave detection refines ECG peak timing at low sampling rates, improving RRI accuracy while reducing wearable power use.

Rate-based ECG sensitivity captures clinically relevant arrhythmias while reducing false positives, storage load, and review time.

A metal anchor and chemically bonded plastic seal create a waterproof wearable monitor housing without adhesive gaps or skin irritation.

Pre-training plus patient-specific transfer learning turns face images into body fluid estimates, reducing reliance on staff and specialized equipment.

Frequent measurements use a low-power clock, while precise timestamps from a second clock correct timing drift with minimal lag.

Cantilevered slats pressed against anatomical features hold their position, enabling accurate self-measurement without callipers or assistance.

Subtle shifts in virtual screen position, size, or focus prompt unconscious posture changes that reduce XR fatigue without distraction.

Dual mutual and self-capacitance sensing compensates low-ground effects to keep touch-based skin moisture measurement accurate.

Beryllium copper dry electrodes improve scalp contact without gels or abrasions, enabling lightweight wireless EEG headbands and remote analysis.

A breathable moisture-removing layer helps dry electrodes maintain skin contact longer while reducing detachment, poor signals, and irritation.

Real-time position feedback guides patients during scans to protect image quality, avoid retakes, and maintain imaging throughput.

Buffered relay of footwear gait data with sound cues improves collection timing and periodic transmission for physical condition estimation.

Reflected mmWave signals and a customized DCNN infer 3D body joints during sleep, overcoming low resolution and missing body parts in darkness.

Only two body electrodes are energized at a time, cutting cable leakage and stray impedance for accurate multi-segment measurements.

A trained model predicts hepatobiliary-phase liver MRI from earlier scans, cutting exam time while preserving diagnostic image quality.

Two wireless wrist bands capture biopotential signals from both arms to deliver continuous high-fidelity ECG without leads or manual electrode contact.

A printed ionic pressure-sensitive adhesive interface improves skin contact, signal stability, and long-term wear without drying gels.

A shared RF transceiver circuit switches transmit and receive paths for multiple nuclides, cutting MRI hardware complexity and cost.

A detachable earmold keeps ear-canal sensor openings close to the skin for reliable physiological measurement, easier cleaning, and lower-cost assembly.

NLEO-based electrogram analysis scores fractionated cardiac signals to pinpoint arrhythmogenic tissue and guide faster ablation.

Automatic force control and stretch sensing improve wearable EEG electrode contact, reducing setup effort while preserving signal quality.

Integrated sensor nodes digitize and merge ECG and MR signals in the coil array, reducing EMI distortion and improving scan triggering.

Simultaneous EEG and fMRI connectivity modeling links multi-network brain activity to disorder likelihood for more practical neurofeedback training.

Real-time live-lead ECG views help users spot and correct electrode connection issues before reporting, reducing delays and signal errors.

An added exciton layer converts triplet excitons into singlets and improves OLED energy transfer efficiency with lower energy loss.

Maps electrogram traces to each catheter electrode in 3D, reducing signal overload and improving electro-anatomical interpretation.

Frequent bump measurements from cameras or LiDAR are compared across devices to flag foetal growth abnormalities without complex ultrasound.

Asymmetric downstream extension of the 90° pulse reduces blood flow artifacts in current and subsequent MRI slices.

Optical displacement sensing and airbag pressure control improve wrist pulse wave accuracy by avoiding non-linear pressure-depth errors.

An inclined guide and front-back inversion path keep the imaging plate face-down during insertion, preventing external light from degrading stored image data.

PCA-based LAT analysis computes local cardiac propagation direction and velocity, helping exclude misaligned electrodes and inactive tissue.

Real-time position sensing and visual guidance help correct cosmetic application drift on skin, hair, or eyebrows for more precise results.

Multiple radar signal-processing paths are scored by segment to reject motion artifacts and derive more reliable non-contact heart rate readings.

Non-invasive sleep monitoring analyzes atypical REM stages and related signals to detect REM behavior disorder earlier and reduce injury risk.

Shared optical paths let hidden left and right eye trackers measure 3D gaze accurately despite head movement in surgical stereo viewing.

A dual-range Pitot tube uses differential pressure sensing to measure both high and low respiratory flows in one cleanable test device.

A shoe-mounted 6-axis sensor and regression model estimate heel, ankle, and knee angles in real time without motion-capture equipment.

Reflectance spectroscopy measures hemoglobin and oxy-hemoglobin non-invasively, correcting for melanin and staying reliable in low perfusion.

Automatic positioning completion detection and parameter adjustment reduce operator workload while improving scan timing and image accuracy.

An air-gap manifold fills multiple collection tubes under venous pressure, reducing vein collapse, sample transfers, and handling time.

Photodetectors and a replicated LED ring preserve keratoscope illumination in a compact OCT scanner adapter without obstructing surgical access.

Partial slice reference scans generate phase correction coefficients across positions, cutting MRI scan time while suppressing EPI Nyquist artifacts.

Machine learning classifies ECG artifacts before normalization, preventing voltage spikes and false pauses from distorting cardiac event detection.