Sensors TRIZ Cases

A medical imaging system selects the ECG channel with maximum amplitude to generate a reliable gating signal for synchronized heart scans.

Optical emitter and detector identify biosensor production lot marks, eliminating manual calibration input errors.

Adjusting the radial distance of a C-ring housing maintains consistent skin contact pressure for accurate physiological data across different finger sizes.

An integrated sensor window uses an opaque region between transparent areas to isolate photoemitter light from photodetector signals, reducing device volume.

A self-driving vehicle adjusts spacing from other cars based on occupant emotional states detected by sensors.

Non-locally sequential sampling on a Cartesian grid accelerates MRF acquisition, resolving the trade-off between speed and gradient imperfection artifacts.

Semi-interpenetrating polymer network achieves 260-fold stretchability, resolving the trade-off between extreme elongation and mechanical reliability.

Weight-based voltage regulation adjusts phase delay to compensate for decoupling performance loss caused by patient weight variations.

A system visualizes electrophysiology data by generating graphical images of multi-electrode catheters to display real-time electrical signal acquisition.

Inversion module nulls fluid signal to minimize partial volume effect and improve T2 estimation accuracy.

A 3D grid system aggregates electrical signals into discrete nodes, reducing computational burden by mitigating outlier influence during cardiac mapping.

Automated sensors analyze patient movement patterns to prevent falls, reducing reliance on human sitters and lowering healthcare costs.

A collar spacer component compresses fur to maintain optical contact, resolving motion artifacts that distort heart rate signals.

Motion probing gradient pulses encode blood flow phase differences to generate distinct arterial and venous signals.

A processing module adjusts band-pass filter parameters to track physiological signal characteristics.

Enhanced Growing Neural Gas circuitry associates neuronal spikes with dynamic nodes and edges in a vector space for real-time classification.

A wearable ring device selects active optical channels using a machine learning model that weighs measurement quality metrics against historical motion data.

A stocking cap embeds biometric sensors and wireless transmission modules to monitor patient vital signs.

A flywheel training system increments maximum power output thresholds based on user performance data.

A handheld medical device system detects display type via electrical resistance to dynamically adjust operating parameters.

A pneumatic manometry apparatus uses a pressure transducer and processing unit to deliver objective pressure values.

A sound field synthesis model generates virtual acoustic environments using machine learning trained on high-precision simulation data.

A digital voiding diary system uses photodiode optical datasets to estimate bladder urine volume automatically.

An implantable cardiac monitor integrates an energy harvesting module to power circuitry and optimize electrode placement for signal capture.

A portable urinalysis machine integrates a sensor and microcontroller to analyze urine samples locally.

A fetal monitoring system determines electrode positions by processing electrophysiological signals from abdominal measurement electrodes.

Reconstructing MRI images of cyclic movements through distance matrix curve fitting avoids fixation devices and improves temporal resolution.

A magnetic field distribution with a peak region and higher spatial gradient shifts water frequency away from fat signals.

A closed-loop device regulates blood glucose by autonomously injecting insulin or glucagon based on real-time sensor readings.

A weight training system uses biophysical sensors to detect muscle force and calculate exercise efficiency values.

Magnetic resonance fingerprinting method reduces comparison signal characteristics dictionary size for low-field systems.

A sensing apparatus formats health data in a Human Interface Device protocol for direct transmission to remote devices.

A system derives cardiac muscle fiber orientation from local conduction velocity ratios to generate high-density maps.

Packaging sensor detects garment separation to activate temperature monitoring, resolving battery life trade-offs during storage.

An integrated drive circuit merges pump and valve control into one block, reducing component count and circuit area in blood pressure measurement devices.

Segmented coil elements minimize Specific Absorption Rate to prevent lead heating while maintaining diagnostic image quality.

In-phase echo timing suppresses chemical-shift artifacts while maintaining fat signal intensity, enabling rapid identification of vascular calcifications.

Dynamic treatment margins adapt via real-time imaging to resolve dose distribution accuracy issues caused by intrafractional tumor motion.

Local reservoirs integrate fluidic and solid substances within a medical adhesive layer, eliminating separate gel application steps while preserving shelf life.

Electronic computing device approximates potential nerve stimulation using a predefined mathematical model to determine gradient parameter settings.

Compliant housing absorbs moment forces to prevent adhesive peeling and maintain sensor stability.

Processing circuitry removes motion artifacts from photoplethysmogram signals using acceleration data in the time domain.

Dual-modulated light sources enable blind-source separation of skin-only signals for reliable vital sign extraction.

Sensors and adjustment mechanisms in this insole eliminate abnormal pressure points, enabling early detection of foot ulcers.

A method detects contamination on intraoral scanner protective layers by monitoring distance measurements against defined thresholds.

A computer-implemented method classifies physiological signals from deep and superficial muscles using surface sensors.

Force sensors embedded in reins measure tension to detect lameness and unevenness, replacing subjective visual assessments with objective spectral analysis.

Iterative hybrid circuit spatial optimization balances electromagnetic coupling and power efficiency to improve B1+ homogeneity in MRI systems.

Flow control assembly vents bulk breath to reduce moisture and temperature, preserving sensor accuracy in portable devices.