Diagnostics Using Light TRIZ Cases

Maps cortical activity into discrete states and transition probabilities to reveal temporal changes that conventional brain activity summaries miss.

Fluorescence analysis of patient fluid enables faster, repeatable dialysis profiling for transport status and disease progression.

Deep learning on cultured exosome SERS signals helps distinguish cancer from normal blood exosomes for accurate non-invasive diagnosis.

Multiple source-detector pairs improve wearable PPG accuracy during motion by separating cardiac signals from motion artifacts.

Aligned laser paths and shared geometry synchronize magnetic and photoacoustic brain sensing while reducing sensor size and crosstalk.

Multi-wavelength light sensing maps blood vessel depth and angle to choose better measurement positions for non-invasive lipid testing.

Dual-altitude optical sensing compensates for gravity and PPG signal variation to estimate cuff-free blood pressure on portable electronics.

Multispectral light and trans-illumination help build 3D tooth models showing surface and internal caries or cracks without ionizing radiation.

Interconnected sensor pods with rigid coupling arms vary ring circumference to improve electrode contact and biometric signal fidelity on different limbs.

Unknown vessel and tissue variables can impair noninvasive retinal testing; paired isosbestic wavelengths enable accurate hemoglobin concentration measurement.

A transistor-switched diode alternates light emission and sensing, preserving array uniformity without separate LED and photodiode components.

Detachable sensing protection blocks ambient interference while mobile imaging and Monte Carlo modeling estimate skin chromophore concentrations.

Multiple wavelengths and radial sensors collect diffuse tissue light; differential processing suppresses common-mode noise for concentration detection.

Infrared goggles combine eye imaging, head-position sensing, and patient guidance to support remote eye examinations.

An integrated optical and electrical sensor measures health parameters on the same contact area to reduce spatial and temporal uncertainty.

Real-time signal processing uses abstracted features and lookup logic to reduce computational load and power consumption.

Multiple emitters and symmetrically placed sensors compensate for wearing tightness and angle changes during blood oxygen detection.

A dual-photosensor analog front end replaces a costly spectrometer, enabling compact bio-illuminance measurement with wired or wireless data transfer.

Fluorescence excitation and detection replace subjective checks and invasive sampling with rapid, objective information on wound bacteria and healing.

A sampling reservoir, sensor, and computing node automate urine measurement, reducing stressful user interaction and producing objective uroflowmetry data.

Spectral filters isolate microbial fluorescence from illuminated wounds for objective, real-time detection and targeted sampling.

Fluorescence imaging analyzes wound spectral data in real time to identify infection and guide targeted swab or biopsy collection.

Repeated sensor removal can weaken acrylic adhesion and disrupt fragile skin; silicone adhesive retains peel strength while limiting protein removal and water loss.

An automated pump and optical sensor detect the blood leading edge, stop flow, and map light intensity over time to indicate coagulation.

Dual light wavelengths separate motion-related reflections from deeper vital-sign signals for real-time heart-rate monitoring.

A pixel array first detects contact, then reconfigures active light sources and detectors to improve non-invasive biomarker estimates.

A reference detector rescales optical signals to remove ambient gas absorption offsets, avoiding dry-nitrogen flushing and constant recalibration.