Sensors TRIZ Cases

Segmented joints driven by direct motors and rack-and-pinion systems eliminate wire fatigue while enabling precise navigation around anatomical obstacles.

Iterative fitting corrects low signal-to-noise ratio errors in diffusion-weighted images by preserving original noise distribution during ADC calculation.

A waveform display apparatus extracts characteristic waveforms and classifies them to support medical signal analysis.

Acoustic detection synchronizes medical imaging with neuromodulation, eliminating complex manual configuration.

An MRI apparatus adjusts imaging parameters based on subject breath holdable time.

A body-mountable device uses liquid crystal elastomers to dynamically control glare through electric field application.

Wireless sensor device calculates ECG signal Kurtosis to assess quality, separating motion artifacts and baseline wander from the physiological signal.

A sensor module with accelerometers and gyroscopes detects linear and rotational headgear motion during impact events.

Machine learning models translate radar depth data into accurate facial tracking, reducing power consumption while maintaining precision.

A wearable glucose monitor induces periodic body surface temperature changes to measure mid-infrared radiation absorption for concentration tracking.

Multiple magnetic-field-strength sensors measure static field variations along the axis to resolve encoder play and improve alignment accuracy.

A VIPS headset transmits time-varying magnetic fields through tissue to detect fluid level changes via phase shift analysis.

In vivo sensor calibration detects signal attenuation before execution, deferring adjustments until quality improves to maintain measurement precision.

A portable impedance measurement apparatus uses a programmable processing system to generate and analyze alternating electrical signals across diverse medical applications.

A BCI device recovers initial application data into expectation states using real-time brainwave classification.

Sensor array measures electromagnetic impedance across skin layers to determine blood metabolite levels.

A personalized trigger level determination method optimizes seizure detection sensitivity using offline patient data.

Narrow-side receiving surfaces align disposable test strips to prevent optical contamination during body fluid analysis, ensuring accurate measurements.

Near-infrared spectroscopy system creates three-dimensional oxygenation maps of transplanted tissue.

Superposed pyroelectric portions measure charge differentials to suppress useless signal parts and maintain fingerprint image contrast.

Selecting coil elements with highest respiratory motion amplitude from frequency spectra reduces imaging noise and artifacts.

Dynamic time-warping algorithms adjust wavelet scales to resolve sEMG signal misalignment, improving spiking event characterization.

Electrical impedance tomography reconstructs subdermal wound volumes and granulation thickness without invasive mechanical intrusion.

Preliminary 4D imaging establishes a motion model to minimize incidental radiation exposure while maintaining localization accuracy.

Segmenting the wearable device into a main body and detachable accessory resolves unstable sensor-skin contact, ensuring reliable ECG monitoring accuracy.

Optimizing the distance between pyramid-shaped electrode protrusions prevents hair follicle interference, ensuring reliable brain wave detection.

A wearable monitoring device detects rhythmic pulse patterns in accelerometer data to determine if the user is wearing the device.

A mobile cardiac monitoring device derives a full set of electrocardiogram leads from a subset of voltage-time measurements.

A wearable system detects sleep disorder events by clustering heart rate values and analyzing motion data during deep sleep periods.

Segmented graphical trend indicators display blood glucose transitions, preventing improper analysis caused by irregular measurement intervals.

A laminar body integrates transmitter and receiver cavities with annular light shielding bulges protruding from the tissue-facing surface.

Convolutional neural networks determine heart center position from localizer slabs to enable automated cardiac exam planning.

Rotating shutter seals test strip port to prevent cleaning fluid ingress and protect internal electronic components from damage.

Integrated disposable module combines lancing and testing to eliminate manual dexterity requirements.

Active noise filtering headphones block harmful high-frequency dental sounds while preserving speech and multimedia audio.

A wearable cardiac monitor uses sealed adhesive electrodes to record continuous ECG signals for extended periods.

Tapered posterior members plow through hair to enable direct electrode-skin contact, resolving conductivity loss from hair obstruction.

An optical unit radiates coherent light through a patterned filter to generate speckle images for precise displacement detection.

A funnel-shaped extension attachment with a tubular channel augments finger stick blood collection.

An MRI apparatus determines imaging parameter feasibility before acquisition to prevent improper settings.

An adaptive energy transfer method determines a specific energy requirement value to wirelessly power local coil systems.

A wearable sensor system monitors three-dimensional movement, electro dermal response, and temperature to detect physiological changes.

A biomedical electrode assembly uses spaced conductive surfaces to measure electrical properties for calibration.

Asymmetric shim coil design reduces induced voltages in magnetic resonance systems.

Capacitive electrodes with dielectricum coatings enable reliable electrical connection in the ear canal, eliminating conductive gel requirements.

A flexible skin patch uses recessed electrodes to measure impedance and capacitance directly on the skin surface.

Segmenting coil elements isolates pilot tone signals from imaging data, resolving interference artifacts that degrade measurement precision.

An asymmetric magnet with a patient head recess and linear gradient coils reduces apparatus bulk while maintaining imaging coverage.

A sound model maps data features to acoustic properties for interactive feedback.

EEG signal preprocessing extracts pure neural data through integrated artifact removal and time-domain segmentation.