Electrocardiography TRIZ Cases

A surgical instrument adjusts ultrasonic energy output via a control circuit responding to clamp arm closure stages.

Self-service monitoring of battery and dome position reduces caretaker time while ensuring reliable maintenance.

A biosignal measurement module calculates pulse transit time using electrocardiogram and pulse signals detected by integrated units.

A smartphone accelerometer detects chest vibrations to record seismocardiograms.

A cardiac resynchronization therapy device evaluates ventricular sense response effectiveness using cross-correlation analysis of electrogram waveforms.

An antenna system detects noise interference signals to support electrocardiology studies.

Acoustic sensing detects needle position through the pericardium, reducing ventricular perforation risk.

Surface ECG electrodes measure functional electrical metrics to identify patients with narrow QRS who benefit from cardiac resynchronization therapy.

Synchronizing ultrasound data acquisition with the respiration cycle minimizes motion artifacts during imaging.

An integrated vectorcardiogram device uses orthogonal electrodes and wireless telemetry to capture cardiac electrical activity.

A printed circuit board integrates a micro-controller and embedded sensor via conductive traces to detect physiological parameters.

A medical alarm system adjusts thresholds using historical signal patterns to generate aggregated notifications.

A portable USB electrocardiograph acquisition device auto-loads monitoring software onto any host computer.

A wearable device monitors cardiac electrical signals to detect ST segment deviations and automatically administer medication.

A medical electrode uses a rotatable conductive support cylinder to isolate the cable from mechanical stress.

A programmer synchronizes heart data from separate implantable devices using time stamps for a unified display.

A signal processor computes a composite score from cycle length, amplitude, and polarity of body surface electrophysiological signals to identify arrhythmogenic activity.

An intracardiac stimulation device stores event electrograms and marker data alongside test results.

Cylindrical impedance instrument accepts interchangeable sensor cartridges via a single mechanical and electrical engagement interface.

Point-specific motion data processing calculates mechanical activation times for heart map points to characterize cardiac movement patterns.

Local gateway software filters minor physiological data before transmission, reducing network load while maintaining measurement accuracy for remote patients.

An integrated nursing call system merges emergency calling and physiological sensing to eliminate manual input errors and reduce caregiver workload.

A wearable inhaler delivers aerosolized medication for opioid overdose treatment via a compact housing unit.

A modified precordial lead generator circuit synthesizes diagnostic signals from three cardio enclosure electrodes.

A microcomputer fuses electrocardiogram and photoplethysmography signals to calculate pulse transit time for blood pressure estimation.

A medical mapping system selects a subset of map points based on operator-specified spatial density to visualize organ surfaces.

Dynamic adjustment of sense channel parameters reduces power consumption while maintaining measurement precision for extended device lifetime.

A wearable bandage with a multidimensional sensor matrix detects skin surface changes to monitor blood flow.

Segmenting detection into independent analysis dimensions reduces inappropriate therapies caused by overlapping heart rates.

Heart sound analysis distinguishes cannon waves from true cardiac function changes to adjust CRT pacing intervals and improve chamber synchronization.

Thermal bonding of center strut to elastomeric tube maximizes internal volume while reducing catheter tip diameter for precise on-plane deflection.

Segmented rotomolded panels and AI control minimize sensory overload while maintaining structural stability for restful sleep.

Processed acoustic stimuli recruit middle-ear muscles to normalize the transfer function.

Analyzing near-field and far-field cardiac electrogram signals identifies ventricular lead displacement through R-wave amplitude variations.

Measuring T-wave peak number, area, and slope detects ventricular dyssynchrony during cardiac resynchronization therapy without suspending pacing.

A cardiac imaging system generates an activation map from electrocardiogram data and a three-dimensional heart model to guide precise catheter positioning.

Time-frequency maps spread cardiac spectral components, resolving ambiguity in waveform identification that causes misdiagnosis.

Continuous physiological monitoring detects pre-syncope patterns to capture critical data during symptomatic events, enabling accurate etiology determination.

A cardiac monitoring system processes SPO2 oximetric signals to detect ventricular arrhythmias using an artificial neural network.

An adaptive feedback system maintains subject alertness by dynamically adjusting output signals when physiological parameters cross defined thresholds.

Monitoring S1 and S3 heart sounds determines the ventricular operating point, optimizing stroke volume while preventing pulmonary congestion.

A running guidance device synchronizes step frequency with respiratory rate using acceleration and pulse wave sensors.

A non-invasive system measures electrocardiogram and peripheral blood pressure waveforms to calculate pre-ejection time for pacemaker adjustment.

Controller merges electrocardiogram voltage data with ultrasound structural measurements to generate patient diagnoses.

Electronic control unit adjusts tactile stimulation element position via pressure sensors to maintain optimal force on user skin.

Printed conductive ink electrodes align with pad openings to contact gel directly, eliminating complex soldering steps and reducing manufacturing costs.

A medical cloud system integrates physiological data with device error codes and status information to enable automatic self-checking.

Automated CMAP amplitude monitoring replaces manual fluoroscopy to prevent phrenic nerve injury and reduce patient radiation exposure.

Processor detects undersensed and oversensed events to generate adjusted episode displays with accurate event identification markers.

A heartbeat detection device calculates time difference values and stores them in FIFO buffers to identify minimum values for R-wave peak timing.