Sensors TRIZ Cases

Audio recordings of tapping and gait tasks enable remote mild cognitive impairment screening without in-office sensors or visits.

A low-surface-energy temporary layer lets transparent material form taller sensor domes on metal housings, improving physiological data accuracy.

Microliter blood drawn through a dual-lumen catheter enables real-time ACT monitoring with impedance sensing while avoiding venipuncture delays.

XGBoost uses single time-point non-invasive vital signs to predict sepsis earlier, reducing invasive testing and diagnosis delay.

Passive sweat wicking in a smart ring enables dock-based optical biomarker analysis while preserving compact size and low-power PPG monitoring.

A color-filtered capacitive sensor array enables biometric skin contact sensing without transparent regions, expanding device appearance options.

Automatic robot positioning and stored user settings cut setup time and evaluator effort in repeated muscle strength measurement.

Skin-surface biopotential signals are processed with channel-based muscle activation likelihoods to detect behavior outside constrained EEG settings.

Generated and real ECG or EEG signals are combined in GAN training to reduce subject-specific variation and improve state recognition accuracy.

Real-time whole-body SAR is converted into local SAR for wirelessly coupled MRI coils, improving scan safety at local body sites.

Braided microstructures in MRI metal components interrupt eddy currents to improve field uniformity, cut heat, and reduce noise.

A symptom matrix aligns ambulatory ECG events with patient-reported symptoms, helping clinicians find symptom-linked heart rhythms faster.

Dynamic best-of-day spirometry thresholds personalize lung function alerts and reduce manual setting burden for respiratory monitoring.

A urine-powered biofuel cell and integrated sensors turn a disposable container into an accurate, easy-to-use uroflow measurement tool.

Non-red PPG peaks guide red-signal timing and filtering, improving ear-hook oximeter SpO2 accuracy under poor fit and unstable contact.

Motion sensing and patient feedback make external bone stimulation more wearable, comfortable, and trackable during spinal fusion therapy.

EEG features and machine learning improve early prediction of infant neural speech encoding disorder risk from auditory brain responses.

Combining nasal PPG with a second sensor captures heart, respiration, and warning signals without relying on PPG alone.

A laminated flexible sensor in headgear captures head impacts and acceleration while staying moisture-proof for real-time injury monitoring.

Dual spin-echo sequences with different refocus pulses and echo times isolate local susceptibility changes and improve hemorrhage detection in nonuniform MRI fields.

Shared-axis 3D cardiac vector loops align ECG data from different time periods, speeding comparison and improving diagnostic accuracy.

Switching between DC and periodic AC with capacitive coupling stabilizes skin-electrode offsets while reducing wearable power drain.

Baseline comparison detects injury current and excludes distorted electrograms, improving late activation annotation in cardiac EP mapping.

Surface ECG atrial waveform features feed classifiers to estimate cardiac disease presence, severity, and localization without invasive tests.

Multiple diffusion-direction sequences with tuned pre-dephasing gradients and k-space fusion suppress Nyquist and acceleration artifacts without longer scans.

A feature attenuation filter suppresses T-waves so duty cycle analysis can detect low-amplitude ventricular fibrillation without undersensing.

Video-based posture estimation combined with body models quantifies joint load and muscle activity for more objective motion assessment.

When detected body position differs from registration, a pop-up on the exam window enables fast re-registration without returning to setup.

Multiple electrodes, body shape estimation, and user inputs improve liver fat screening beyond BMI and body fat ratio.

A magnetic yoke channels MRI flux so the particle beam monitor can sit closer to the target with less interference and scattering.

A molded backing cavity holds conductive gel without sponge liners, cutting electrode material waste and fabrication steps.

Looped frame sequences and FFT narrow heartbeat frequency uncertainty in video signals without relying on one excessively long sample.

Amplifier current draw reveals poor wearable sensor fit without extra sensors, preserving comfort, signal quality, and battery life.

Camera-based eye state and face direction analysis improves in-vehicle motion sickness estimation without hard-to-measure vibration sensing.

Carrier-modulated PPG sensing uses synchronous demodulation to separate motion and ambient light aggressors while lowering processing load and power.

QR-based pairing lets a CGM body unit connect to a terminal faster, avoiding manual code entry errors and simplifying reconnection.

Relays isolate the stimulator during EMG readout while a stretchable electrode sleeve maintains alignment and stable skin contact.

Physiological signals from a wearable trigger lights, thermostats, and other devices to improve sleep without manual action.

Differential first and second measurement coils mechanically align the sensitivity center with the FFL, improving magnetic particle detection accuracy.

Quasi-static near-field sensing enables transparent flexible electronic skin to detect 3D gestures with simpler processing and low power.

Cardiac pulsation replaces external actuation to reconstruct full anisotropic elasticity tensors and improve non-invasive tissue assessment.

A segmented EEG ribbon and stretchable band adapt to different head sizes while keeping electrode contact stable for easy, high-quality signal capture.

An elastic belt garment holds a wireless recharger close to an implanted device, reducing shift, bulk, and wearer inconvenience.

Feedback-guided EMG processing filters noise and adapts STA thresholds for more accurate private silent speech input in noisy settings.

Physiological data and timestamps are used to time health messages around daily routines, improving adherence without fixed reminders.

Multi-band EEG and MEG source imaging extends detection beyond 1-70 Hz with 3D localization to improve lesion and epileptic activity mapping.

Dynamic trial radar maps favorable, hopeful, and futility regions to guide sample size changes and earlier stop decisions.

Multiple light wavelengths and PPG feature ratios improve noninvasive glucose measurement accuracy and reduce calibration needs.

Poincare plot features and a machine learning model improve wearable heart rhythm detection accuracy for abnormal beats and atrial fibrillation.

Hardware diodes and fuses at the pulse generator, leads, and electrode block unsafe voltage or current during tissue stimulation.