Sensors TRIZ Cases

Analyzes mental state data from viewers to replace imprecise star ratings with reliable, personalized video recommendations.

A device estimates intracranial pressure by analyzing the first formant frequency of external ear canal pressure pulse waves.

Flexible optoelectronic sensor detects venous oxygen saturation using multi-wavelength light absorption and reflection modes.

Flexible electrode patch positioned along the sternal midline captures low amplitude atrial P-waves, resolving signal fidelity issues in ambulatory monitoring.

Compensate nonlinear transfer function distortions in biosignal measurement devices using calibrated linearization functions.

Multi-electrode probe records electrograms to determine slopes and annotations for identifying conduction block lines.

Segments ECG signals into distinct intervals with specific conversion gains to enhance P-wave magnitude while suppressing motion noise artifacts.

A filtering unit removes motion artifacts from ECG signals by adjusting cut-off frequencies based on patient acceleration data.

Analyzing oblique images of fingerprint objects to identify transparent thin films that mimic skin tone, resolving detection accuracy issues.

A deep neural network processes raw bio-signals to estimate stress levels in real time.

A recognizer module analyzes wearable inertia and audio sensor signals to detect user input activity within a cognitive environment.

A detection criterion circuit dynamically adjusts the arrhythmia detection duration based on signal metric comparisons to identify cardiac episodes.

Computing physical-technical limit values for magnetic resonance parameters prevents invalid inputs and reduces planning time.

A dispenser device with connected pouches and a single tear strip allows simultaneous opening of multiple medical electrode packs.

A pixelated X-ray imaging device minimizes source-to-detector distance to reduce image distortion while maintaining high resolution.

Longitudinal optical sensors on a finger-worn device measure physiological data while minimizing movement artifacts during sleep.

A dark blood MRI technique decouples infarct and blood relaxation curves to enhance image contrast.

Nafion-coated biofouling mitigation layers on a boron-doped diamond electrode block interferents, enabling accurate acetaminophen detection in sweat.

A deep convolutional neural network derives quantitative MR parametric maps from a single qualitative image.

An MRI output pattern determining unit selects optimal signal synthesis configurations from a stored table to maximize element utilization efficiency.

Disposable electrode patches enable long-term monitoring while preventing skin irritation and dislodgment through self-authentication.

Spatial variation in sub-epidermal moisture values identifies tissue damage through biocapacitance assessment.

A sonification system maps heart rate and oxygen saturation to discrete auditory cues using amplitude modulation and timbral manipulation.

A medical probe assembly manages communication links to transfer monitoring data between devices.

Hilbert transform generates partial state space trajectory from cardiac signals to extract phase and amplitude properties for component identification.

Opsin-expressing cardiac cells use light to terminate arrhythmias, eliminating pain and procedural danger from electrical defibrillation.

Sensors detect user presence to switch wearable devices between connected and disconnected states, eliminating manual input.

A transformation function applies elastic shape analysis to generate annotated training data from existing waveforms.

Multi-channel capacitive respiration sensor measures distinct capacitance signals to determine tidal volume.

Segmenting the imaging volume into disjoint sub-volumes enables dynamic local shimming to correct field inhomogeneities across large regions.

Segmented MR local coils use displaceable substrates to form a virtual surface, resolving the trade-off between coverage area and signal-to-noise ratio.

A hybrid display system merges real-world views with virtual reality environments using a head-mounted device and camera array.

Visual ERSP EEG system detects amyloid deposition via evoked potentials, replacing invasive CSF sampling and PET imaging with non-invasive screening.

A wearable processor blanks noisy ECG samples using slope thresholds to preserve signal timing.

A curved inflatable thigh compression device applies uniform pressure to the leg.

An electro-acoustic transducer uses a coil and vibrating plate to generate sound via magnetic interaction.

Packing conductive polymer microparticles into a 3D matrix resolves the trade-off between electrical conductivity and spatial cell arrangement precision.

Constrained continuous-time random walk model for quasi-diffusion magnetic resonance imaging.

Fitting transient signals with a damped oscillator model separates time-scales, reducing scan duration while maintaining image quality.

Segmented flow paths and barrier elements prevent clots from blocking the probe tip, ensuring accurate sample analysis.

A blood collection device integrates a vibration module to stimulate nerve fibers and aid capillary blood flow.

A wearable vital signs monitor uses a detachable sensor unit to enable independent maintenance cycles for reusable electronics and disposable carriers.

Segmented electrode coating unit cells conform to skin ridges, reducing contact resistance and preventing saturation during electrodermal activity sensing.

A diffusion MRI processing system segments imaging data into multiple groups with varying b values to determine correction coefficients for signal errors.

An adapter couples medical sensors to coupling units using internal circuitry for direct signal transmission.

A biological-signal measuring apparatus equipped with a trap unit and lifting mechanism inserts electrodes into micro-vertebrates to detect electrical signals.