Sensors TRIZ Cases

A separate mobile controller blocks audiometric testing until room noise, calibration, and subject instructions meet requirements.

In-phase and opposed-phase fat-water signals create a B0 field map for accurate, time-efficient magnetic resonance mapping correction.

Thermal sensing at the ABTT terminus bypasses dermal and vasomotor interference for earlier COVID-19 and health-condition detection.

Differential and gain circuits condition weak myographical signals for Micro:bit robot control.

Surface coils and calibrated RF signals measure regional fat without prior MR scanning.

NFC-tagged parking zones link mobile devices to server-recorded sessions, reducing on-site equipment and visitor friction.

This case shows how a single guidewire housing isolates sensor stress, limits air bubbles, and simplifies assembly.

Threshold-triggered light helps surgical carts reveal obstacles before movement.

Measure radiotherapy dose with dielectric-produced Cherenkov light in ambient conditions.

In-vivo electrodes and parallel multi-frequency measurements support 3D reconstruction with real-time ventilation and perfusion images.

An inductive sensing case uses frequency-amplitude signal combinations to separate heart and lung activity while reducing motion artefacts.

A frame-based FES orthosis integrates sensing and stimulation to ease donning while adapting muscle activation to gait timing.

This case combines enzyme electrodes with a porous membrane to monitor glucose continuously and support insulin injection in one sensor.

Sensor feedback sets imaging-specific motion limits, pauses scans after excessive movement, and guides patient repositioning.

This case combines motion sub-modules and targeted frequency analysis for accurate presence detection with lower computational load.

This case uses airflow particle movement and optical interference to determine respiration information in a compact head-mounted device.

This MR case uses coil groups, amplifiers, dividers, and phase shifters to target regions without a complex gradient system.

Wideband reflected-wave processing separates respiration and pulsation signals from motion noise for reliable measurement.

This case integrates flexible signal strips, a circuit board, and electrodes into a watchband for stimulation and physiological monitoring.

A compact wireless oximeter uses near-infrared sensing and offset fibers to improve tissue oxygenation accuracy during surgery.

A two-step neural architecture search selects operators and weights, reducing ANN design time and resources for ECG classification.

A wearable ring compares signals from different wavelengths to identify and remove common noise from physiological measurements.

Morphologic ECG templates and threshold matching improve source-location confidence for arrhythmias before invasive treatment selection.

One-dimensional projection data automatically sets saturation pulse thickness and position, reducing manual MRI adjustment across subjects.

A control unit uses low-power periodic sensing and target-triggered normal sensing to preserve battery while detecting biometric data.

This case combines EMD with autocorrelation feedback to remove residual body movement noise from EEG signals.

Woven conductors analyze RF feedback and deformation patterns, enabling flexible physiological monitoring without fixed body placement.

Real-time heart rate variability adjusts audio and visual cues to guide resonance breathing and support stress resilience.

This oximetry approach calculates a modified ratio from IR and red-light waveforms to correct melanin-related SpO2 overestimation.

Screen-printed ion-selective sensors measure tear osmolarity objectively for DED diagnosis.

A reference pulse oximeter calibrates bracelet wrist readings against better-perfused tissue for consistent, non-invasive SpO2 monitoring.

This portable platform combines synchronized EGIG and ECG with GSR and temperature sensing for more reliable reflux and anxiety diagnosis.

A recessed rigid element and flexible jaw-fitting element improve MRI signal-to-noise while simplifying positioning and reducing discomfort.

Alternating DC and AC modes with capacitive coupling reduce offset potentials and power drain during biometric signal acquisition.

Pre-aligned bandage layers and removable liners simplify pulse oximeter assembly while improving repeatability and optical positioning.

Heart rate and inter-beat interval analysis raises transmission frequency during irregularities or signal-quality drops for timely detection.

Facial feature mapping selects cleaner RGB skin patches and filters noisy pulse spectra for faster, more accurate in-car heart monitoring.

Dynamic icons hide unavailable functions and simplify limited-screen monitoring.

Separate sensors and autonomous data analysis combine physiological signals to detect infection risk while reducing false alarms.

This case calculates cardiac wavefront conduction velocity from neighboring EP points and local activation-time gradients.

A PPG-based wearable fuses neural network prediction with frequency tracking to handle sudden workout heart rate changes.

A front-and-back bio-signal apparatus uses extension-plate contacts and resin immobilization for reliable disposable electrode connections.

A wearable sensor adapts filter coefficients to motion status, subtracting ambient and motion noise from reflected-light heart-rate signals.

A portable ECG, smartphone app, and cloud workflow analyze signals to distinguish cardiac chest pain from non-cardiac causes.

The mapping system finds event times and analyzes tailored signal windows to capture boundary deflections in dense cardiac maps.

Detecting heartbeats and joining QRS, P, and T wave segments makes extended ECG data easier to process for remote cardiac monitoring.

A bayonet connection compresses the layered sensor to release conductive, antiseptic material between skin and sensor.

Multi-site EEG analysis separates burst and suppression epochs to estimate underlying brain states and guide anesthesia management.

This camera module combines 3D distance sensing, a movable mirror, and automatic focus for fast, radiation-free body-surface modeling.

Motion tracking and data binning enable MRI susceptibility measurement during patient movement.