User/Patient Communication For Diagnostics TRIZ Cases

Distributed tragus electrodes expand contact area and lower current density to reduce burns while maintaining effective vagus nerve stimulation.

Sensor feedback tracks infant suction frequency and stress to adapt teat flow rate, helping avoid underfeeding, overfeeding, and milk spoilage.

Biometric sensing triggers a speed-limited vehicle mode, preserving mobility while responding to unsafe driver states.

Color-changing illumination on a sensor wearable gives instant biomarker and workout-zone feedback without checking a secondary device.

Comparing high- and low-frequency impedance reveals posture errors in BIA measurements, improving body composition accuracy and repeatability.

Multi-frequency impedance comparison detects posture-induced short circuits and flags invalid body composition measurements for better accuracy.

Aggregated brain activity graphs preserve privacy while reducing communication load for personalized content recommendation.

A two-stage delay checks whether transmitter signal loss persists before alerting, reducing false alarms without missing critical glucose monitor notifications.

Change-point voting and unsupervised clustering detect stress, drowsiness, and other anomalies from physiological signals without extensive training data.

Two-stage timing delays glucose monitoring signal loss alerts until communication failure persists, reducing false user disturbance.

A biased tragus clip improves electrode contact and current distribution to modulate the vagus nerve without burns or poor wear comfort.

Continuous glucose sensing uses inductive wireless power and data transfer to capture intraday fluctuations, trends, and alerts with less monitoring burden.

Opposing electrodes on a spring-biased tragus clip improve stimulation contact and comfort while avoiding high current density skin burns.

Controlled pressurization changes tissue thickness, blood, and interstitial fluid, allowing temporal light signals to estimate physiological and disease states.

Comparative sleep tracking lets the processor alert the more suitable parent when a baby-monitor sensor detects a change.

TOF-LIDAR reconstructs 3D subject data without visual images, improving activity detection while reducing privacy concerns and false alerts.

EEG waveform recognition mediates Alzheimer’s communication, while server learning refines responses and eases caregiver burden.

A removable module processes wearable sensor data and uses visible light to show whether activity stays within an allowable range.

Measure absolute and relative foot blood flow with DOF sensors for immediate feedback during pedal revascularization procedures.

This case integrates biometric monitoring with media access control to manage behavior and automatically contact relevant individuals.

Polarity selection circuitry helps one monitoring hub connect varied sensors and consolidate physiological data on one display.

A gear, shaft, and rack linkage moves tray paper toward the door, reducing jams and hand access near sharp openings.

A gear-driven linkage advances paper when the printer door opens, easing removal and insertion without fragile spacers.

Periodic light modulation and detector switching reject interference while preserving sensitive pulse wave measurement.

An entry management system uses a mobile terminal placed outside the MRI room to unlock the door, preventing metal objects from entering the magnetic field.

CEST MRI detects temporal signal variations from non-labeled sugars, enabling safe repeated metabolic assessment without radioactive agents.

Segmenting a central hub from specialized pods reduces device size while maintaining versatile measurement capabilities.

A biological measurement device dynamically adjusts sampling frequency based on real-time analysis of organ signals.

A biometric sensor switches between intermittent and continuous operation modes based on detected biological signal features.

A portable analyte monitor automatically transitions from configuration to data collection mode upon receiving a start signal.

A sensor-based system tracks Parkinson's disease tremors and medication intake to assess treatment effectiveness over time.

Automated exhaled gas sampling uses vacuum sources and breathing sensors to collect valid nitric oxide samples from non-cognizant patients.

Dynamic sensor repositioning resolves low signal-to-noise ratios from varying arterial orientations to enhance blood pressure estimation accuracy.

Stored current adjustment information automates drive current control, eliminating manual external assistance for rapid optical probe replacement.