Electrocardiography TRIZ Cases

An implantable cardiac therapy device monitors intracardiac impedance to evaluate mechanical activation patterns and detect dysynchrony indicators.

A monitoring system adjusts threshold limits dynamically based on time-varying criteria to minimize false alarms.

An implantable R-spike amplifier boosts ventricular R-wave amplitude to improve subcutaneous defibrillator signal detection.

Implanting cardiac pacemakers reduces natriuretic peptide levels and reverses weight loss in non-cardiac illness patients.

Multi-vector intracardiac electrograms determine atrial and ventricular activation times for precise arrhythmia discrimination.

Position-specific recording time points optimize contrast distribution across z-positions, resolving mismatched protocols and varying blood flow rates.

Infrared sensor captures arterial pulse pressure waveforms to determine vital signs, reducing calibration complexity for rapid cardiovascular monitoring.

A breathing mask uses an actuator to restrict exhalation airflow during sleep.

A magnetic field mechanism actuates an artificial ventricle to sustain hemodynamics when the left heart is severely injured.

A high Q parallel tuned circuit probe measures heart and respiration rates using induced eddy currents.

Mapping electrophysiology measurements directly onto three-dimensional heart images using Delaunay interpolation for real-time visualization.

Injects variable direct current into ECG electrodes to calculate contact impedance without requiring known offset voltages.

A Biostrip wearable device combines ECG, PPG, and SCG sensors to detect physiological signals for health tracking.

A handheld craving control device integrates a tactile input actuator with wireless communication to transmit user craving data.

Expandable anchoring member secures leadless pacemaker housing within the right atrium.

Continuous time-frequency-intensity analysis of heart sounds differentiates central from obstructive sleep apnea without complex laboratory monitoring.

A patient monitoring system tracks ECG ST regulation patterns and cardiac action potentials to identify physiological changes.

Off-line analysis of intracardiac electrograms adjusts detection parameters in implantable medical devices.

Detecting S wave peaks extracts respiratory data from thoracic potential differences, resolving accuracy loss when electrodes sit opposite the heart.

A multi-modal screening device combines pulse oximetry, ECG, and phonocardiogram sensors to detect critical congenital heart disease in newborns.

A smart relaxation mask couples earpieces via wiring to a main body for targeted audio delivery.

A portable vital signs monitor uses dynamic alarm thresholds to reduce false alarms.

A meditation support device guides respiration timing using varying sound volume and vibration magnitude.

A telemetry system authenticates an external device by comparing its motion data with the implantable device's movement signals.

A pulmonary artery pressure sensor derives cardiac cycle length from waveform derivatives without electrical heart signals.

Integrated sensors enable real-time fluid flow adjustment based on patient parameters, reducing nursing workload by eliminating manual monitoring requirements.

A pacemaker detects concurrent anodal and cathodal capture using bipolar intracardiac electrogram signal analysis.

Episode profiles store accumulated cardiac data to differentiate supraventricular and ventricular tachycardia, reducing unnecessary high-voltage shocks.

A controller creates a heart failure status index from multiple sensor measurements to modulate stimulation signals.

A pulse wave analyzer segments signals beat-by-beat using ECG feature points to calculate a reference waveform for blood pressure estimation.

A remote communication device replicates automatic anesthesiology pump controls to enable flexible supervision.

An in-vehicle computing system selects and spatially mixes pre-recorded nature sounds based on real-time vehicle state data.

An automated system selects stable heartbeats to compute QTc intervals from ECG signal data.

An integrated catheter uses algorithmic feedback to locate arrhythmia sources, reducing device complexity.

Segmenting qualified atrial intervals eliminates undersensing errors from blanking periods, ensuring reliable therapy delivery.

Integrating RF telemetry and tissue conduction functions into one module reduces implant size while maintaining reliable therapy coordination.

Implantable devices induce premature atrial contractions to monitor short-term cardiac interval fluctuations.

A fetal electrocardiogram extraction method uses a reference signal generated from the fetal heartbeat period to separate signals via independent component analysis.

A multi-pole sensor catheter guides navigation to cardiac arrhythmia sources using signal processing and visualization techniques.

An implantable device measures electrical activity and impedance to detect cardiac allograft rejection.

A multi-domain electrocardiogram device detects subwaveforms using frequency bandpass filters.

A wearable biosignal monitoring system detects user responses to sensory stimuli and compares them against normative data to generate device fit recommendations.

A medical electrical lead uses sense path arbitration to detect transient conditions on conductive pathways.

Implanted device electrograms transform into reconstructed surface EKGs via correlation parameters.

Nested delivery system uses inflatable distal closure to secure placement without complex surgical procedures.

A processing unit synchronizes medical imaging datasets by correlating physiological activity signals on a common time scale.

Wearable dry electrode harness captures fetal and maternal electrocardiographic signals through the maternal torso without skin preparation.

An implanted device terminates atrial arrhythmia using drug therapy and pacing.

Segmentation and intermediary principles enable a wearable sensor to track vital signs without complex patient operation.

Handheld heart-shaped pad with electrocardiogram sensors detects atrial fibrillation signals.