Diagnostic Signal Processing TRIZ Cases

RF tags generate unique harmonic signals modulated by body motion, eliminating signal interference during simultaneous multi-subject monitoring.

A blood pressure monitor calculates a psychology stress index using time domain pulse analysis.

A haemodynamic monitor filters physiological data using sliding window variability analysis to identify and exclude irregular cardiac cycles.

Fusing multiple physiological signals using quality indices reduces noise interference and false alarms in monitoring devices.

A wearable apparatus calculates physiological signal complexity to determine biological aging levels using multi-parameter sensing.

A biological data sensor uses a segmented flexible printed circuit module paired with a wireless charging unit to deliver continuous power and accurate pulse readings.

Optical fibers in an inflatable glove measure reflected light from a reference pattern to calculate prostate volume, replacing subjective manual palpation.

Automatic scaling of physiological signals resolves amplitude variability, enabling non-medical users to interpret heart rhythm data accurately.

A system analyzes heart rate changes alongside tri-axial accelerometer data to determine dehydration probability.

Segmenting photoplethysmographic signals into heartbeat patterns enables precise ratio of ratios quality assessment, rejecting poor data from motion artifacts.

Electronic device integrates physiological data from multiple sources using measurement environment validation to generate accurate combined readings.

Segmented bonding layers leave meander sections unbonded, preventing lamination constraints on wearable sensor deformation.

Machine learning algorithms process standard camera images to assess gait patterns and leg soundness, resolving subjective manual evaluation bottlenecks.

A factor estimation system calculates walking parameters from body motion data to identify specific fall risk components.

A probabilistic signal processing system estimates physiological period characteristics by generating prior probabilities from initial estimations to refine subsequent measurements.

Calculation unit determines axial twist angle of electrode array using signal processing.

Variable echo magnetic resonance fingerprinting encodes B0, B1+, T1, and T2* in a single scan while separating water and fat signals via the Dixon method.

A biological sound measurement device determines contact state using sound pressure level changes detected by its measuring unit.

Estimates blood pressure using physiological signals during limited cuff inflation.

A system calculates physiological load vectors using location observations and momentum analysis.

Interpolation device generates gait waveforms using sensor data to restore missing sections.

A confidence analyzer circuit evaluates electrotherapy shock decisions based on detection reliability.

Aligns longitudinal image ensembles via group-wise registration, removing reference bias that distorts temporal trend accuracy in medical diagnostics.

A respiratory signal analysis method extracts elementary components and models their phase evolution to characterize waveform morphology using compact parameters.

A universal detection slot consolidates multiple biosignal connectors into a single interface using automated apparatus identification logic.

A physiology sensing system transmits measuring signals with overshoot and undershoot waves to detect reflected electromagnetic reflections.

A wearable electronic device synchronizes wireless connection timing with periodic body movement cycles detected by internal sensors.

A wearable electroretinography device records retinal signals from both eyes simultaneously using integrated light sources and electrodes.

A non-invasive blood pressure monitor detects arterial oscillations during cuff inflation using a pulse rate sensor and adaptive filtering.

A full-field stimulus threshold testing system delivers adjustable intensity and duration flashes to each eye independently.