Sensors TRIZ Cases

A needle protection device uses a rotating arm to cover the needle tip securely.

Sequential coil switching reduces power consumption and radio wave interference by using a single oscillator to measure multiple body sites.

A console transmits a single synchronization pulse over a digital interface to reset internal clocks in multiple medical devices.

A deformable wearable ring transitions from planar to non-planar shapes to conform precisely to user anatomy.

A wearable device adjusts optical measurement profiles to optimize physiological data acquisition.

An auxiliary photodetector measures LED output directly to generate reference signals for noise cancellation algorithms.

An abdominal compression plate equipped with a force sensing resistor minimizes respiratory motion while accurately detecting the respiratory cycle.

Expands spectral bins in multi-spectral MRI to mitigate pile-up artifacts caused by electromagnetic interference from metal implants.

Reconstructs ECG signals from EEG data using heartbeat timestamp alignment and collaborative filtering.

Electrocardiogram data processing server generates analysis results paired with expected completion times for user terminals.

Partial k-space acquisition with navigator echoes reduces movement artifacts while maintaining image quality.

Segmented sensors and intermediary processing distinguish body-emitted substances from ambient interference, reducing false positives in transdermal monitoring.

Automated dynamic MRI reconstruction adjusts temporal resolution using iterative image quality metrics to optimize data fidelity.

Biodegradable sacrificial layer dissolves to expose fresh enzyme surfaces on nanopatterned electrodes.

The method detects motion artifacts in cardiovascular signals by comparing subsequent values to a threshold, preserving absolute time while improving extraction accuracy.

Three-dimensional digital models calculate precise electrode coordinates on textile garments to minimize cross-talk and adhesion loss during dynamic movements.

A processing system extracts user profiles to generate personalized targets based on tenure and forecast data.

A biological information processing device derives emotional data from physiological signals to classify candidate suitability.

A wearable medical system scores photoplethysmographic voltage signals to identify valid pulse wave portions without external acceleration sensors.

Switchable operating modes in dual acceleration sensors reduce power consumption while maintaining wide measurement ranges.

An optical detection system replaces NFC coils to trigger device readiness from packaging removal, eliminating standby power drain and reducing PCB area.

A processing module determines pulse rate by analyzing area ratios of positive and negative regions in a difference signal derived from physiological data.

A drowsy pattern detection module combines heartbeat rate data with vehicle steering signals to identify driver fatigue states.

Segmented heart rate monitor architecture stores activity data locally and uploads it to receiver stations, enabling cross-location data access.

Adjusting restriction conditions for discretization errors reduces shimming iterations and improves homogeneity in superconducting magnets.

Peptide-based diagnostic compositions target myocardial collagen to enhance anatomical detail in magnetic resonance imaging.

Sternal midline electrode placement captures low amplitude P-waves by minimizing tissue interference, improving signal fidelity and patient comfort.

Dynamic alarm profiles adapt to patient physiology and treatment, reducing nuisance alarms while maintaining detection sensitivity.

Machine learning models process electrical impedance tomography data to predict liver biomarkers and assess health conditions.

Optical imaging automates RF coil selection, resolving subjective user dependency and improving MR image quality.