Electrocardiography TRIZ Cases

A vibration signal generation device extracts specific audio frequency bands to produce targeted mechanical vibrations.

Segmenting heart sound cycles allows independent component amplification without filtering noise, preserving diagnostic information.

A thin-walled flow directing member wraps irrigation fluid around a catheter tip electrode to enhance convective cooling.

A wearable mask integrates optical and impedance sensors to measure physiological waveforms.

Dual triggering protocols synchronize data acquisition with the cardiac cycle to minimize microbubble destruction and enhance endocardial border detection.

Segmented sensing channels and dynamic threshold adjustment differentiate ventricular arrhythmias from skeletal myopotential noise.

A sleep determination device calculates heartbeat cycle difference values to generate return maps and histograms for stage classification.

A sleep aid apparatus synchronizes tactile stimulus phase with user respiration for precise breathing guidance.

Sensing cardiac signals across multiple electrode combinations to identify specific lead failures within implantable medical devices.

A medical device pairs distal position information with physiological measurements using surface electrodes for real-time tracking.

Dynamic electrode pair selection reduces device size and power consumption while maintaining precise cardiac signal detection.

Tracking paced depolarization integral changes enables reliable hypoglycemia detection during paced beats, resolving QT interval monitoring limitations.

Integrated sensors measure multiple vitals in one compact device, eliminating the need for separate bulky machines.

Integrating electrodes into the mask simplifies application and improves monitoring accuracy.

Adiabatic T2 preparation sequences rotate magnetization via amplitude and frequency modulation, reducing sensitivity to magnetic field inhomogeneities.

Predictive processing circuit delivers non-synchronous stimulation signals to influence user heart coherence.

Template subtraction and principal component analysis preprocess ECG signals to isolate T-wave alternans, resolving noise masking and time shift errors.

An external cardiac assist sleeve wraps the heart and uses a motor to provide synchronized force, eliminating driveline infections.

A dislocation detection unit evaluates relative time relationships between sensing electrode poles to identify lead movement.

Converter assembly transforms physiological electrical signals into ultrasonic frequency modulated sound waves for wireless transmission.

Continuous hot pressing embeds conductive material into electrode eyelets, simplifying production while ensuring dimensional stability.

A relaxation state evaluation system processes ECG data to generate specific entropy and interval parameters for accurate physiological assessment.

An implantable medical device differentiates premature ventricular contractions from atrial events using R-wave amplitude and area metrics.

Disposable adhesive ECG patch with wire interconnects separates monitoring functions to resolve adhesion reliability trade-offs during extended wear.

Helmet-mounted display system aligns vestibular and visual inputs via inertial sensor data to reduce motion sickness in aviation.

Drag-and-connect human-shaped graphical elements map physical blood circuitry to simplify complex medical device operation.

A medical system uses radar waves to detect patient position and vital signs without physical contact.

Principal component analysis projects multi-sensor physiologic data into a reduced space for accurate heart failure detection.

A risk determination system calculates a numeric score from QRS-width and detrended fluctuation analysis slope Alpha-1 to predict ventricular arrhythmias.

Automated cardiac monitoring extracts R-R intervals to classify epileptic events.

Adjustable standing plate enables personalized meridian stretching through integrated health analysis and control units.

Wearable EKG saturation correction system detects signal saturation and resets false R wave peaks to ensure accurate heart rate monitoring.

A physiological monitoring device acquires patient data and outputs therapeutic signals simultaneously using an integrated controller.