Electrocardiography TRIZ Cases

Baseline quadrature analysis detects sheath entry to discard unreliable impedance data during electrophysiology procedures.

Segmented analysis of cardiac signal morphology reduces device complexity while enabling remote monitoring and timely clinical decisions.

An asymmetric flat profile prevents electrocardiograph lead cables from twisting during operation.

A sleep trainer monitor attaches to an elastic band using a pocket with flat contact points for secure electrical connection.

A basket catheter uses nested coiled wires to support high electrode density within a compact sheath.

A pulse wave analyzing method compares adjacent bottom-to-peak amplitude ratios to identify and remove notch noise from biological signals.

A wrist-worn electrocardiography device extracts cardiac waveforms via skin-contact electrodes and a signal conditioner.

Segmented optical sensors detect tissue perfusion changes via multi-wavelength analysis, improving detection reliability during arrhythmias.

An elastic step difference between the sensor and main body resolves the contradiction between measurement accuracy and user comfort.

External electrodes monitor electrical activity to generate heterogeneity data for therapy assessment.

A system analyzes patient pulse wave measurements against expected values derived from medication schedules to determine adherence status.

Frequency domain segmentation isolates specific signal components to measure I-point and J-point accuracy despite waveform deformation.

A pulsed high EML light system delivers periodic electromagnetic radiation to adjust user circadian phases through automated pulse train schedules.

Conductive jumper element enables self-testing of electrical connections between cardiac resuscitation devices and electrodes within sealed packages.

Ablation catheter with segmented microelectrodes derives orthogonal force vectors for precise tissue contact monitoring.

Expedited automatic threshold searches shortlist pacing vectors, reducing testing duration while minimizing phrenic nerve stimulation.

Macro scanning automates procedure tracking, reducing clinician manual input and documentation errors.

Signal processing circuits trend unfiltered S1 heart sound amplitudes to monitor intrinsic mechanical cardiac activity.

Preliminary B1 field acquisition compensates for coil inhomogeneity, reducing noise and specific absorption rate without adiabatic pulses.

Time-varying spectral analysis filters motion artifacts from photoplethysmography signals to restore heart rate accuracy during intense physical activity.

A wearable device detects user body chemistry conditions to authenticate accounts without manual credential entry.

Segmented aortic balloons redirect blood flow to critical organs, halting neurological damage and extending the treatment window beyond standard CPR limits.

Ultrafast high energy pulses generate nanometer-scale voids on the electrode surface, reducing after-potential polarization without coating adhesion risks.

An asymmetrical nasal interface uses prongs with different cross-sectional areas to manage respiratory gas flow.

Ranking cardiac beats by signal quality resolves the trade-off between automated measurement speed and clinical trial precision.

A fetal monitoring system calculates alarms using relative T/QRS ratios against baseline values to adapt to individual heart axis variations.

Automated infusion protocols and pressure sensors prevent dangerous intrathecal pressure build-up during lumbar puncture procedures.

A three-electrode bioimpedance sensor uses a short-circuit unit to merge current and voltage functions for compact wearable integration.

Light source pre-ionization ensures consistent switching of the gas discharge tube, resolving unpredictable breakdown voltage in defibrillator protection.

Accelerometers in the telemetry unit track motion data, eliminating time-consuming manual observation of bedridden patients.

A system digitizes heart sound signals and uses artificial neural networks to classify them as functional or pathological.

Flexible backing buffers non-stretchable circuits against stretchable adhesive strain to maintain stable electrode contact during patient movement.

Multi-pass amplitude filtering removes noise from cardiac electrograms, reducing inappropriate therapy delivery caused by oversensing.

A detection system generates an integrated matrix from periodic signals to identify abnormal movement patterns.

A subcutaneously implantable medical device system monitors signal quality using multiple sensing vectors to ensure accurate arrhythmia detection.

A passive detection system classifies human presence using ambient electromagnetic fields and ultra-low frequency sensors.

A user monitoring device system integrates microphones and environmental sensors to capture physiological data for cloud analysis.

A surgical stapling instrument adjusts staple height using independently actuatable drivers and a control circuit.

A detection apparatus combines a heartbeat sensor with a pulse wave sensor to rapidly estimate pulse rates during continuous monitoring.

Correlating myocardial temperature with electrical activity identifies arrhythmia sources, resolving the accuracy limits of standard mapping.

Algorithm analyzes atrial and ventricular rate timing to classify arrhythmia origin in implantable cardiac devices.

Defining multiple classification windows detects specific cardiac signal characteristics, improving capture threshold accuracy while managing device complexity.

Interposing a semi-conductive wall between insulated leads and the shield dissipates triboelectric charges, reducing noise without blocking charge bleeding.

A pacing system adjusts left ventricular timing using measured right ventricular activation data.

A polynomial approach evaluates sensing vectors for implantable cardiac devices to determine suitability.

Aligns computed sleep scores with user-indicated subjective assessments to resolve the contradiction between calculation simplicity and measurement accuracy.

Electro-anatomical modeling identifies substrate rotors via voltage maps to target ablation, resolving inconsistent treatment effectiveness.

Processor circuits filter ballistocardiogram noise with secondary sensors to detect cardiac output and fluid status.

Using off-resonant RF pulses to measure B1 fields independently of B0 inhomogeneities while reducing specific absorption rate constraints.