Sensors TRIZ Cases

An optical transmitting module routes reflected light through multiple fibers to improve diagnostic accuracy while reducing device complexity.

A handheld diabetes managing device calibrates using current samples from a continuous glucose monitor.

A dynamic adaptive respiration compensation system adjusts motion weights to maintain accurate catheter localization during electrophysiological procedures.

A rotatable passive shim unit compensates magnetic field distortions during magnet rotation in combined imaging systems.

Surface electrodes and signal processing replace invasive skull drilling to record sleep patterns in wild marine mammals without restricting mobility.

A biosignal sensor uses a deformable material between electrodes to generate biomechanical outputs alongside bioelectric signals.

Computational analysis of neuroimaging and electrode data predicts critical language nodes, reducing invasive stimulation risks and surgical time.

Specific frequency extractor separates displacement from brightness variations in image signals to resolve measurement accuracy limits in portable devices.

Headset monitors post-surgical complications via continuous sensor feedback to enable timely detection and reduce vision loss risk.

Removable buttress assemblies connect split MRI magnet housings to enable relocation while maintaining magnetic field uniformity.

A two-stage process separates image slice categorization from bone segmentation, resolving conflicted voting problems in T2-weighted MRI analysis.

A wearable bioelectrode headband collects sleep signals using ocular event-related potentials.

A waveform analyzer identifies qualified half waves in brain signals to detect neurological events.

A dermatoscope camera unit moves a lens along its optical axis to focus on specific examination planes within the patient's skin.

Second aperture asymmetry blocks adjacent element interference while transmitting inclined light, resolving crosstalk and reflection visibility contradictions.

Segmented strain gauges on flexible circuit boards measure bone healing while hermetic enclosures shield electronics from corrosion.

A fatigue measurement method processes face video to extract quasi-heart rates and quasi-vibration frequencies from specific facial regions.

A fluid collection device uses a detachable needle hub to release the sharp component after use.

Thermistor arrays and gold-plated baffles compensate for blackbody emission to achieve accurate non-invasive glucose measurement.

Segmented phosphorescent and fluorescent channels decouple oxygen and temperature readings, eliminating cross-interference errors in living cells.

A microneedle fabrication method positions an array equidistant from a conductive element to enable uniform electrodeposition of active films.

A heart rate monitor detects driver fatigue by measuring physiological signals.

Extracting local radiomics features from pixels in radiotherapy simulated locating images to determine irradiation doses.

Automated MRI patient seat moves along a travel curve using detector feedback to position the head, resolving manual adjustment errors.

EEG analysis captures P600 amplitude changes during new/old stimulus paradigms to resolve diagnostic inconsistency and delay in iNPH detection.

Isotropic generalized diffusion tensor imaging extracts rotation-invariant parameters using specific gradient directions.

A lancing device uses a dial-driven linkage for depth control and an ejector for lancet removal.

Bloch simulations model coherence pathways to correct distorted multi spin-echo NMR data.

A magnetic resonance system adjusts scanning parameter limits using numerical distribution maps to determine implant-related sensitive regions.

A magnetic linear motor converts mechanical motion into electrical energy for prosthetic limbs.

Portable monitor generates predictive calibration curves using transformation functions to estimate analyte levels from sensor output.

A photoplethysmographic sensor selects optimal light emission parameters to generate high-quality signals.

A medical imaging apparatus extracts anatomical features from scout images to calculate precise slice positions.

Electrical pulse stimulation increases blood flow velocity, replacing mechanical compression to reduce vascular impedance and avoid tissue damage.

A magnetic resonance control device calculates a maximum measurement time parameter based on radio-frequency energy input thresholds.

Steady state probe topography measures brain activity to identify psychological states during advertisement exposure.

Remote receiver stations synthesize standard ECG leads from non-standard bipolar signals, overcoming impedance variations through initial calibration.

Sampling EGM signals at predetermined intervals extracts T-wave amplitude values, reducing memory usage while maintaining measurement precision.

A microwave imaging system estimates breast surface location using antenna backscatter signals and geometric tangent fitting to define the tissue interface.

A pre-stabilization period reduces electrochemical skin conductance measurement duration by applying a lower resistance value before the actual reading.

A fingerprint sensor uses a multi-layer appearance effect structure to provide diverse texture and color patterns.

Focused ultrasound modulates naturally occurring electrical signals in the brain, enabling high-resolution deep brain access without invasive implants.

Textile apparel absorbs incident UV and visible spectra to emit near infrared radiation, eliminating electrical power requirements.

A filtering engine uses big data analysis to automatically set signal rejection criteria for electrophysical mapping procedures.

A wireless ECG monitoring system continuously records cardiac waveforms and analyzes signals for arrhythmias.

An electrode assembly reads electrochemical changes in the olfactory bulb to detect odor signatures.

Flexible substrates conform to patient anatomy, resolving gaps that reduce signal-to-noise ratio in standard rigid receive coils.

Deep learning models extract heartbeat features from noisy multi-lead data, enabling accurate arrhythmia classification without expert intervention.

Digital compensation cancels pacing signal contributions in ECG readings for accurate biometric monitoring.