Sensors TRIZ Cases

Non-MRI images detect patient motion to correct MRI fingerprinting parameters without navigator scans.

A wireless measuring device processes patient data across multiple operating modes identified by context-specific identities.

A T1-weighted turbo-spin-echo MRI sequence adjusts dark-blood preparation pulses to every Nth heartbeat while maintaining steady-state tissue magnetization.

A phase-locked loop tracks reflected signal variations to extract heart and respiratory rates from radio frequency reflections.

Dual gradient fields enable accurate center frequency correction during bed movement, eliminating static pre-scanning requirements.

A work simulation application captures candidate EEG signals to generate multi-dimensional capability profiles.

A sensor information processing apparatus adjusts bandpass filter characteristics based on inertial sensor data to isolate target frequency bands.

A biosignal extracting unit uses dual interfacing units to isolate and remove noise from measured signals.

A wearable pulse oximeter tracks AC and DC signal components to assess contact quality.

A terahertz field effect diagnosis system generates stimulus signals and processes biofeedback data through a central processing unit.

Replacing bulky high-power lasers with pulsed laser diodes reduces power consumption and heat dissipation while maintaining sufficient illumination intensity.

Engineered glucose binding protein changes conformation to expose a redox mediator for signal generation.

Clamped transparent plates eliminate tubing wall scattering to enable reliable peritonitis detection without calibration.

A wearable photoacoustic ultrasound device guides light and acoustic energy toward tissue to detect biological responses.

Magnetic attachment enables modular bio-signal sensors on various wearables, resolving device complexity and improving adaptability.

Integrating cardiac sensor leads beneath the exterior surface preserves device aesthetics while enabling reliable user authentication via electrical conduction.

A detection device uses photodiodes with varying light-receiving areas to maintain uniform sensitivity across the sensor array.

A blood collection device venting mechanism uses a selective membrane to separate air from fluid flow within the cannula hub chamber.

An optical sensor system uses light sources and photodetectors to non-invasively measure physiological information from motorized system operators.

A DenseNet and dual-channel LSTM model extracts spatial features from electrocardiogram signals to improve QRS complex detection accuracy.

A camera with synchronized near-infrared and orange LEDs captures facial video to extract photoplethysmography signals for blood oxygen saturation.

Selective noise filtering on non-beat ECG segments preserves beat morphology, eliminating motion artifacts and improving arrhythmia diagnosis accuracy.

An elastic adhesive electrode patch integrates multiple measurement points and conductive paths into a single unit.

A monitoring module verifies bed pad sensor connectivity by sending signals and checking for returns to confirm system readiness.

Sine-waveform gradient pulses shift energy to lower frequencies, suppressing acoustic noise without extending imaging time or limiting echo time flexibility.

A digital processor generates time-varying acoustic parameters from brain electrical signals to produce an audible representation of neural activity.

A frontal physiological sensor device uses three electrodes arranged along the sagittal direction to acquire electrophysiological signals.

Sliding window discrepancy analysis detects activity transitions in inertial sensor data, enabling accurate segmentation without complex classification models.

Separate calibration phases for walking and running correct measurement inaccuracies from different motion types.

Segmented sensor modules attach to universal headsets, resolving spatial coverage limits without increasing device complexity.

Blind source separation isolates EEG sources for artifact detection.

A processor determines sympathetic nervous system activity by analyzing the speed of heart rate change during a recovery period.

Propylene glycol in the contact medium matches skin osmolarity, preventing water transport that causes sensitivity drift and eliminating calibration needs.

Continuous ECG monitoring systems process waveforms using kurtosis and gravity cliff detection to reduce false alarms from noise artifacts.

Shape sensing optical fibers generate input signals through bend-induced data changes to resolve manual device mapping bottlenecks.

A limb evaluation method measures maximum output and orbiting outputs to create a hexagonal distribution for precise muscle strength analysis.

Segmented magnetic structures and dynamic tables enable upright spine imaging while reducing overall apparatus weight.

Co-planar macro and micro electrodes on a flexible support enable simultaneous EEG and cellular monitoring while preventing unintentional movement.

Anesthetizing monitoring unit subtracts estimated periodic noise from evoked electromyography response signals to improve measurement precision.

An electronic headwear assembly integrates oximetry sensors into a flexible band positioned on the forehead to measure physiological parameters during exercise.

Audiovisual decoder associates genres with emotional states to sort program catalogs, resolving relevance issues from popularity-based suggestions.

Tri-polar sensors measure electric field vectors near the scalp, overcoming skull spatial filtering for precise source localization.

Mid-infrared laser differential detection isolates glucose signals from water interference for precise non-invasive monitoring.

Multimodal audio and accelerometer fusion detects actual falls while assessing pain levels through heart rate variability.

A bioprocessing device uses stacked circuit layers and inter-layer connectors to record neural signals from cultured biological neurons.

Segmented electrode arrays increase independent voltage data points, resolving the trade-off between image resolution and signal-to-noise ratio.

A blood pressure measurement device determines patient tolerance to heart rate and pulse interval changes.