Diagnostic Signal Processing TRIZ Cases

A transcutaneous analyte sensor system uses a guide tube subassembly to facilitate easy insertion and minimize discomfort.

Patient headphones integrate optical emitters and sensors to monitor physiological parameters without external cabling.

Calculating cumulative physiological sums from heart rate and external work metrics to accurately assess training load during supramaximal efforts.

A cognitive training device uses sensor data to determine memory exercise engagement and advance tasks dynamically.

A blood pressure estimation apparatus selects a total peripheral resistance feature from candidates based on cardiac output direction changes.

An implantable electrochemical sensor integrates application-specific integrated circuitry for continuous analyte detection.

Angular velocity sensors detect thumb motion to improve measurement precision and safety monitoring for anesthesia depth.

An implantable right ventricular pressure sensor estimates atrial filling pressures, eliminating trial-and-error medication adjustments.

Calculating power ratios within defined frequency ranges from physiological signals simplifies dementia risk detection while maintaining measurement precision.

A photoacoustic device detects cerebrovascular flow signals and respiration data to generate characteristic waveforms for disease evaluation.

Segmented ECG signals balance diagnostic completeness against bandwidth limits for real-time arrhythmia care.

A spectrophotometric sensor adjusts interrogation settings based on detected light attenuation values to determine blood oxygen parameters.

Dual memory storage architecture manages electrocardiogram data during cardiac mapping procedures.

An electronic caliper replaces manual recording with wireless data transfer, resolving the trade-off between measurement accuracy and device complexity.

A linear combination of efficiency, strength, and temporal values generates an ESTi Score for muscle performance evaluation.

An estimation system analyzes sound signals to extract frequency features and calculate shift amounts from homeostasis.

A sensor insertion device uses a movement mechanism to position and connect the sensor.

A sleep therapy system coordinates posture sensors and sensory stimulators to guide users through paced breathing exercises.

Correcting pulse signal accuracy by applying adjustment factors derived from detected biological structures at the measurement site.

Embedded floor mat sensors continuously capture biometric data to eliminate periodic testing delays and provide immediate health feedback.

A biological information monitoring apparatus displays remaining calibration time to help observers manage workflow interruptions.

Near-infrared optical scanning replaces ionizing x-rays to enable continuous real-time tracking of skeletal anatomy without radiation exposure.

A magnetic resonance scanner adjusts pulse sequences using posture-based SAR distribution models.

A measurement unit captures acceleration data for a wearable sensor to determine human activity states.

A metabolic monitor applies a correction factor to oxygen consumption data derived from exhaled gas concentrations.

Synchronizing resonant radiofrequency, optical, and load sensors eliminates tissue alteration errors by combining measurements from the same interface area.

A hybrid detection system combines bipolar and unipolar electrograms to identify local activation time in cardiac signals.

Portable host probe assembly transmits glucose data to mobile terminal for continuous monitoring.

Acoustic transducers detect chewing vibrations while a processor classifies signals to eliminate user deception in calorie tracking.

Processor detects artifact areas within anatomical scan ranges and generates visual indicators for display.

An automated tracking system calculates distance and duration from location data, replacing manual recording to improve measurement precision.

A detecting system measures signal terminal impedance to identify contact degradation before failure occurs.

Analyte monitoring system detects device failures by comparing predictive glucose responses with actual readings to ensure reliable dosing.

A psychoacoustic system adjusts test sound intensity and spectral levels using patient audiograms to maintain constant perceived loudness across frequencies.

Head-mounted piezoelectric transducers detect respiration-induced vibrations to automate physiological monitoring without user intervention.

A receiver splits nuclear magnetic resonance signals into two paths with different gains before analog-to-digital conversion to extend dynamic range.

Holo-Hilbert spectral analysis processes non-stationary brain signals to resolve visualization challenges in neurological disorder diagnosis.

A watch module counts sensor interrupts to dynamically activate the correct communication interface for biometric data.

Wearable peripheral nerve stimulator modulates autonomic activity to treat inflammatory gastrointestinal conditions.

A signal feature extraction apparatus identifies waveform patterns using local maximum detection and amplitude phase analysis.

A tissue oximetry apparatus uses a third wavelength as the geometric mean of two others to determine oxygen saturation levels.

Bidirectional baseline removal and envelope combination resolve noise-induced inaccuracies in oscillometric waveform analysis.

Calibrates an optical coherence tomography sensor using depth-resolved scattering derivatives for noninvasive glucose detection.

A wearable device calculates a fatigue index using photoplethysmography sensors to extract heart rate variability parameters.

A sensor module uses a hard structure layer to create a step difference between adjacent pressure sensors for accurate blood pressure detection.

Binarizing pulse waveforms determines bio-signal regularity, resolving arrhythmia noise issues that degrade blood pressure estimation accuracy.

A sensing device uses Fourier transform infrared spectroscopy to detect glucose through the skin.

A photoacoustic probe stores light intensity profiles to guide measurement settings.