Electrocardiography TRIZ Cases

A positive pressure therapy device adjusts airway pressure using blood oxygen measurements to maintain stable gas exchange levels.

ECG-synchronized compression cuffs resolve synchronization contradictions by generating antegrade pressure waves that enhance distal blood flow.

Electrophysiology apparatus ranks electrograms to locate atrial drivers.

An esophageal catheter with inflatable balloons detects left atrial pressure changes to determine isovolumetric relaxation time.

A non-linear Volterra filter reconstructs surface electrocardiogram signals from endocardial electrograms using quadratic and cubic terms.

A virtual catheter input module system enables dynamic configuration of intracardiac channels without hardware replacement.

Segmented absorbent liner eliminates skin irritation from impermeable masks while maintaining pressure seals.

A blood treatment device evaluates pressure signal amplitude to monitor patient cardiovascular status during dialysis sessions.

Printed resistors on flexible substrates filter RF interference at the catheter tip, reducing MRI heating and image artifacts.

A finger ring electrocardiogram monitor uses an adjustable bladder to position conductive sensors against patient skin for reliable signal acquisition.

A vehicle computer classifies occupant behavioral profiles to execute tailored interventions like audio playback or driving adjustments.

Identifies reversal points in physiological parameters to detect myocardial instability.

A framework segments thermal patient signal data to determine cardiac output indices and characterize heart function.

A wrist-worn device fuses radial tonometer pressure, ECG electrical, and microphone audio signals to calculate pulse transit time metrics.

UV curing replaces slow thermal processes to speed manufacturing of flexible patches while periodic pulsed current delivery meets Bluetooth power demands.

Selective activation of a second cardiac rate measurement corrects T-wave overdetection errors while conserving device power.

Decomposing physiological signals into subcomponents and selecting those with overlapping spectral energy reduces false positives from in-band noise.

Color matching LED indicators on a pin box identify connected catheters, reducing misdiagnosis risk during complex multi-catheter procedures.

An implantable medical device algorithm classifies cardiac episodes by comparing ventricular electrogram signals against a sinus template.

Split EKG cables with common nodes reduce attachment time while providing visual guidance for accurate electrode placement.

Electronic control unit processes closely spaced electrode signals to derive local electric fields and determine catheter orientation independent electrophysiological data.

An implantable heart sound sensor circuit produces electrical signals to identify physiologic features and trend patient conditions.

Server computer processes wireless ECG signals using multi-domain analysis to resolve diagnostic information loss without increasing device complexity.

A hinged rigid enclosure seals conductive gel between a backing and inner surface, preventing desiccation of adhesive materials in high-altitude environments.

Ordering activation onsets across channels localizes rhythm disorder sources, enabling targeted ablation that reduces tissue damage.

Segmenting detection into a bradycardia filter and tachycardia filter prevents T-wave oversensing while maintaining sensitivity.

A subtracting unit removes common mode signals from amplified body potential outputs, ensuring accurate detection of small useful signals.

A handheld device system collects and analyzes ECG signals to provide rapid heart health assessments.

An automated audio-visual system captures patient activity data to dynamically adjust content.

Implantable components expand in atria and contract in ventricles to increase pulmonary artery flow, addressing limited left ventricular assist device support.

Heart rate variability analysis replaces expensive VO2 max testing with software algorithms, improving measurement accessibility.

Segmented LC and non-resonant filters attenuate RF currents to prevent tissue heating while maintaining electrode flexibility.

A remote control system uses biologic identification to verify device ownership and enable secure management of implantable medical devices.

A processor subtracts estimated ventricular activity from composite electrocardiogram waveforms to isolate the hidden atrial repolarization signal.

A circuit compensates for electrode motion artifacts by introducing a carrier signal to measure impedance differences.

A wireless patient monitoring system calculates a condition index to assign measurement intervals for sensing devices.

Prime ECG analysis calculates distribution functions from isolated segments, resolving harmonic disintegration in ischemia detection.

A four-point FIR filter demodulator processes two-phase current excitation waveforms in implantable medical devices.

Optical biosensor detects photoplethysmography signals at multiple wavelengths to determine vasodilation levels.

A compression device controller directs pressurized fluid to inflate inflatable bladders for controlled force application.

Optical video analysis replaces obtrusive EEG electrodes to detect seizure symptoms, enabling timely caregiver intervention in home environments.

A biological information measuring apparatus segments blood pressure pulse waves into unit pulses based on heart beats to extract necessary signals.

Implanted sensors measure pulse arrival times to estimate central arterial blood pressure.

A wearable biometric sensor integrates electrodes and a substrate into a single unit attached via an adhesive gel pad.

Single-channel ECG analysis replaces complex polysomnography to detect sleep apnea with over 90% accuracy.

A universal pulse oximeter sensor interface adapts signals from diverse manufacturers to a single device.

A handheld device determines pulse transit time by combining electrocardiogram recordings with video image analysis.

A motion-sensitization preparation attenuates blood pool signals in cardiac magnetic resonance imaging to enhance myocardial contrast.