Heart Stimulators TRIZ Cases

Dynamic pacing modulation increases cardiac output during activity while reducing heart muscle energy consumption during rest periods.

Computer method calculates derivative values of skin-acquired electrical signals to determine time differences between cardiac events.

Cardiac pacing device manages refractory periods across multiple left ventricular sites.

Correlating electrical depolarization signals with mechanical contraction data to identify lead integrity issues in active implantable medical devices.

Implantable medical device selects optimal left ventricular pacing site by measuring right ventricular activation times.

Iterative interatrial delay adjustment corrects diastolic insufficiency by synchronizing atrial and ventricular contractions without complex calculations.

A sensing module monitors intracardiac impedance to extract temporal fiducial points for pacing configuration.

A managed ventricular pacing protocol promotes intrinsic cardiac conduction through dynamic mode switching and post-atrial blanking.

A leadless pacemaker uses pressure and acoustic sensors to detect atrial events from the ventricle.

Medical device selects energy parameters based on measured strength-duration relationships for desired and undesirable activations.

A multi-phase cardiac stimulus generator applies stored anodal, cathodal, and biphasic waveforms to improve heart contraction efficiency.

Segmented wake-up signals prevent interference between multiple implantable medical devices during communication.

An implantable device adjusts vagus nerve stimulation therapy by comparing intrinsic and reference heart rates derived from activity sensors.

A computer implemented method groups cardiac beats into posture bins using acceleration signatures from an implantable medical device.

A leadless cardiac pacemaker confirms arrhythmia by monitoring internal sensor signals after receiving an indication from a remote device.

A cardiac pacing device manages refractory periods across multiple left ventricular sites to coordinate ventricular contractions.

A hybrid medical device delivers electrical defibrillation and pulsed magnetic stimulation to treat cardiac arrhythmia and neurological dysfunction concurrently.

A rate-adaptive AV timing system adjusts intervals based on heart rate changes while maintaining a minimum duration.

Segmenting thoracic impedance via superior vena cava electrodes differentiates pulmonary edema from heart enlargement.

An electrode patch integrates a hydrophobic barrier and fuse to prevent short circuits caused by sweat exposure.

A therapy system evaluates electrical crosstalk between neurostimulators and cardiac devices before delivering treatment.

Active implantable medical device generates a composite index from physiological and physical signals to evaluate patient clinical status.

Dynamic switching between AAI/R and DDD/R modes maintains AV synchrony while minimizing excessive ventricular pacing frequency.

A leadless pacing device switches between synchronous and asynchronous modes to maintain cardiac rhythm.

A non-linear amplifier stage polarized at an intermediate voltage point reduces energy consumption in implantable medical device receivers.

A vagus nerve stimulation system generates Poincaré plots from ECG profiles to visualize heart rate dynamics and autonomic engagement.

A cardiac rhythm management device switches pacing modes to shorten the post-ventricular atrial blanking interval.

A self-test unit detects battery exhaustion and device errors in an implantable electrostimulation device to trigger automatic telemetry.

Weighted electrical dyssynchrony selects optimal left ventricular electrodes to resolve insufficient CRT response from conduction velocity reliance.

Segmenting detection and using intermediary signals resolves fusion issues while reducing energy waste.

An implantable device estimates entrainment timing using far-field morphology analysis to optimize anti-tachycardia pacing strategies.

An implantable cardiac resynchronizer uses endocardial acceleration signals to verify biventricular pacing effectiveness.

Segmented protective periods reduce arrhythmia risk during multi-site left ventricular pacing without increasing control complexity.

Implantable device adjusts AV delay using ventricular activation times.

Firmware executes pacing logic on a microprocessor, reducing digital circuit complexity and verification effort.

Validation module detects intrinsic electrical signals to identify tissue type before activating energy delivery circuits.

An implantable medical device transitions from sensing-only to pacing mode when cardiac signals are not detected.

A vagus nerve stimulation device dynamically adjusts therapy parameters based on real-time patient activity levels.

An acoustic pacemaker transmitter modifies pacing pulse shapes to deliver electrical stimulation energy wirelessly.

Paired pacing pulses prolong refractory periods to stabilize ventricular rates and reduce ectopic beats, eliminating the need for painful cardioversion shocks.

Medical device classifies cardiac signals using RR interval variability and ventricular presence factors for accurate episode detection.

A ventricular partitioning device uses an expansive strand to seal the membrane periphery against the heart wall.

Intracardiac pacemaker detects cardiac electrical signals to deliver synchronized ventricular pacing pulses, eliminating transvenous lead infection risks.

Implantable device extracts neural markers from baroreceptor signals, replacing drifting pressure sensors with stable autonomic monitoring.

Cardiovascular pressure sensing validates tachyarrhythmia events by analyzing pressure variance, filtering electrical noise interference.

A neurostimulator adjusts electrical stimulation parameters using accelerometer orientation data and lead impedance measurements.

Simulation of stored cardiac episodes identifies optimal detection parameters, reducing inappropriate shocks while maintaining sensitivity.

A cardiac stimulation device identifies preferred electrode nodes based on measured voltage characteristics to establish an optimal fast discharge pathway.

Replacing echographic assessments, the system uses an accelerometer to detect heart motion peaks for real-time atrioventricular delay optimization.