Electrocardiography TRIZ Cases
- Portable Sleep Accessory Using Segmented Biofeedback
Segmenting sensors into a lightweight wristband reduces device bulk while maintaining accurate biofeedback control over music tempo for sleep induction.
- ECG Delineation Using Convolutional Neural Networks
Neural networks replace manual feature extraction to detect hidden waves in electrocardiograms, eliminating false alarms from unstable thresholding.
- Silver Chloride Paste Silica Support Dispersibility
Silica-supported silver chloride paste resolves agglomeration and light resistance issues via porous carrier structure.
- Color-Coded ECG Electrode Placement with Real-Time Feedback
Color-coded electrodes guide untrained users to correct placement positions for reliable signal acquisition.
- Ventricular Arterial Coupling Measurement via Pulse Wave Timing
Segmented sensors and EKG synchronization determine stroke volume distribution, resolving the trade-off between measurement precision and device complexity.
- Multi-Pole LV Lead Hybrid Impedance Stroke Volume Tracking
Hybrid impedance detection using a multi-pole left ventricular lead and stable reference electrode estimates absolute stroke volume.
- Echo Probe Data Integration for Non-Invasive Cardiac Mapping
Integrating ultrasonic echo probe data with surface electrodes resolves the trade-off between visualization resolution and procedural invasiveness.
- Cardiac Action Potential Simulation for Antiarrhythmic Agent Evaluation
Computational models replicate cardiac action potentials to determine ion channel characteristics without invasive sampling.
- Intercostal Vein Lead Implantation for Cardiac Stimulus Systems
Advancing a cardiac lead through the intercostal vein reduces defibrillation energy and improves pacing comfort compared to subcutaneous systems.
- Pulse Period Calculation Device for Biosensor Peak Detection
A pulse period calculation device detects biological signal peaks using maximum value detection and fixed time periods.
- AI ECG Analysis System for Quantitative ST-T Interval Detection
Automated electrocardiography system processes frequency domain signals to extract quantitative subwaveforms and discontinuity points.