Diagnostic Signal Processing TRIZ Cases

Mixing electrocardiogram data with other physiological signals generates a frequency spectrum that distinguishes arterial states.

An eye health index estimates pupil size variation from lumen output and ambient light to drive adaptive display brightness adjustments.

Emotion modules detect user states during extended reality sessions to create personalized digital or physical souvenirs automatically.

A dual-processor biological monitor uses segmented operating systems to process and display real-time waveform data.

Time-divisional electrode switching reduces signal processing load while maintaining motion identification precision.

A heart signal monitoring system adjusts sensing thresholds based on real-time R and P wave amplitude tracking to ensure accurate detection.

An implantable EEG monitor uses a serial capacitor and test signal generator to detect leakage currents, ensuring safe continuous brain activity monitoring.

A wearable device uses Fourier and wavelet transformations to determine gait cadence from motion sensor signals.

A breast measurement apparatus integrates optical CT and ultrasonic imaging within a single receptacle using a gas-permeable membrane.

Multi-compartment model corrects MR T1 relaxation times for accurate liver fibrosis diagnosis despite elevated iron and fat levels.

Frequency domain transformation separates infant heartbeat signals from adult interference in shared sleeping environments.

Elastomeric connector links sensor and processing units, resolving structural stability versus recording precision trade-offs.

Processor correlates performed examination IDs with reserved records to prevent data loss during network disconnections.

Millimeter wave radar generates range profiles to detect vital signs from multiple targets, overcoming single-target distance limitations.

A MEMS biochip merges mechanical and electrical micro-sensors on a single substrate for simultaneous tissue property measurement.

Dual elastic members store energy to accelerate needle movement, eliminating complex spring balance mechanisms that slow insertion speed.

Segmented scanning direction sequences allow targeted re-scans, reducing image artifacts and reconstruction time while maintaining system stability.

Automated analysis of electrocardiogram signals reduces manual interpretation time while maintaining accuracy in identifying atrial fibrillation regions.

A piezoelectric transducer forms a measuring capacitor to detect vital functions without mechanical support.

Detects intraocular pressure and blood glucose via spatial correlation functions, resolving accuracy limits in non-invasive measurement.