Heart Stimulators TRIZ Cases

A battery-powered vestibular stimulation system uses a controller to manage energy delivery through electrodes for user comfort.

Self-configuring intracardiac pacemakers detect far-field pacing pulses to coordinate dual chamber therapy without transvenous leads.

Implantable medical devices measure intracardiac impedance to detect local myocardial contraction timing across candidate electrode pairs.

A cardiac controller switches between primary and secondary pacing modes based on detected atrial-ventricular intervals.

A cardiac pacing system adjusts AV intervals using FIFO buffers to compute fusion timing.

Electrical neuromodulation at extravascular cardiac sites balances autonomic nerve activity to improve ventricular contractility.

Disposable pacemaker integrates pulse generator with secured pacing lead to reduce entanglement risks and improve patient mobility.

An adhesive film connects internal components without mounting frames, eliminating structural volume and material costs while maintaining mechanical stability.

A cardiac stimulation device alters the ejection profile to reduce blood pressure.

Segmented energy core and ingress-protective housing resolve the trade-off between impact resistance and component replacement in wearable cardiac devices.

A cardiac pacing relay switches electrodes between analog and digital lines to transmit pacing signals across high-density catheters.

Modulating the atrial escape interval exposes hidden ventricular depolarizations, preventing false mode commutations caused by safety window masking.

A medical device cycles electrical stimulation states to coordinate therapy delivery with MRI imaging sessions.

Intracorporeal electrodes measure tissue impedance to monitor visceral fat changes, resolving the trade-off between MRI precision and device complexity.

A ventricular pacing protocol promotes intrinsic conduction using truncated blanking periods and crosstalk management.

A cardiac rhythm management method measures RV-LV delay times to identify candidate left ventricular electrodes for pacing vector selection.

An implantable cardiac pacer uses an accelerometer sensor to detect phrenic nerve stimulation signals during pacing therapy.

Spatial analysis of distributed hemodynamic signals determines stability, preventing unnecessary high-energy anti-tachycardia therapies.

Alternating anodal conditioning with cathodal stimulation reduces power consumption while maintaining reliable ventricular contraction.

A cardiac rhythm management device uses pulmonary artery pressure sensing to determine optimal pacing parameters.

A medical device system visualizes machine learning arrhythmia detection outputs for clinicians using confidence indicators.

Cardiac electrical-window therapy segments the cardiac cycle to reduce ventricular rate by up to 50% while minimizing arrhythmia risk.

An implantable device automatically adjusts cardiac signal sensing parameters after an MRI scan to maintain accurate depolarization detection.

A system determines vector parameters by outputting pacing pulses at varying voltages to assess phrenic stimulation and impedance.

An implantable medical device controller analyzes cardiac electrograms to detect lead short circuit conditions in real time.

Iterative pulse magnitude adjustment based on measured time intervals determines capture thresholds, reducing testing time and conserving battery energy.

A spinal cord stimulator senses far-field cardiac electrical signals to derive rhythm parameters for neurostimulation control.

Correlated triple sampling reduces kT/C and flicker noise in capacitive interface circuits, enabling stable low-power MEMS sensor operation.

A boost converter selectively raises primary battery voltage for circuit operation while allowing low-power telemetry to run directly at lower levels.

Multi-point synchronized stimulation overcomes one-point limitations to reverse paralysis and restore neural communication.

A sensing zone approach identifies specific body surface electrodes to acquire spatially relevant electrical information from cardiac regions of interest.

Control unit distinguishes intrinsic atrial events from far-field detections to determine stimulus threshold and prevent pacemaker-mediated tachycardia.

An implantable medical device monitors cell membrane permeability using beta-dispersion frequency impedance measurements.

A cardiac device distinguishes left, right, and bi-chamber capture using detection windows mapped to expected evoked response signal features.

A capacitive voltage divider across cardiac electrodes reduces induced RF voltages, preventing unintended cardiac stimulation during MRI scans.

Segmenting AV and VV delay optimization reduces combinatorial complexity, enabling efficient CRT setting determination without exhaustive search times.

Atrial pacemaker uses overdrive pacing to detect capture threshold, reducing energy consumption during automatic testing.

A feature-based algorithm analyzes ventricular electrogram waveforms to classify paced events and track pacing effectiveness ratios.

Adjusts transthoracic impedance detection parameters during post-implant lead maturation to identify pulmonary edema episodes.

External programmer extracts and reconfigures explanted implantable medical device settings for immediate replacement unit programming.

A cardiac rhythm management system modulates pacing rate using temperature slope detection and high-pass filtering.

An implantable device adjusts intrinsic AV conduction time sampling frequency based on monitored physiological parameters.

Implantable cardiac stimulation device estimates depolarization wave arrival at the atrioventricular node to compute activation time intervals.

An implantable pacemaker adjusts pacing frequency based on detected activity levels and duration above a threshold.

Implantable device processor adjusts pacing therapy control parameters by monitoring intracardiac electrogram signals.

A vagus nerve stimulator calculates the estimated time position of the next R wave to deliver pulse bursts during safe cardiac intervals.

Implantable cardiac devices adjust atrioventricular delay using percentage-based offsets derived from measured intervals to resolve static timing limitations.

AV nodal stimulation blocks atrioventricular conduction to regulate ventricular rate response during atrial tachyarrhythmia episodes.

An implantable device system determines patient-specific timing regimes to administer cardiac pacing via the native conduction system.

Determines electrical dispersion by measuring activation time differences across multiple vein locations, improving CRT response prediction reliability.