Adjustable Arrhythmia Detection Sensitivity via Risk Level Analysis

The patent applies dynamics by making the determination criterion adjustable rather than fixed. The system dynamically changes the arrhythmia determination criterion based on the patient's risk level, which is calculated from multiple parameters including age, sex, heart rate, and electrocardiographic waveforms. This allows the monitoring system to adapt its sensitivity to each patient's specific condition, resolving the contradiction between detection sensitivity and false alarm rate.

The patent changes the parameter of determination criterion based on risk level. By calculating a risk level from multiple patient-specific parameters and using this risk level to select or adjust the determination criterion, the system optimizes arrhythmia detection for each patient while minimizing false alarms. The risk level serves as an intermediate parameter that links patient characteristics to appropriate monitoring sensitivity.

The system dynamically adjusts the determination criterion based on the calculated risk level. For patients with higher risk levels, the system uses more sensitive criteria to prevent overlooking true arrhythmia, while for lower risk patients, less sensitive criteria reduce false alarms. This dynamic adaptation resolves the contradiction by making the criterion flexible rather than fixed.

The determination criterion parameter is changed according to the risk level derived from multiple patient-specific parameters. This parameter change ensures that each patient receives monitoring with appropriate sensitivity - high sensitivity for high-risk patients to avoid missing arrhythmia, and lower sensitivity for low-risk patients to reduce false alarms.

The patent segments the patient population into different risk levels based on calculated risk parameters. By dividing patients into groups (e.g., high risk, medium risk, low risk) and assigning different determination criteria to each segment, the system achieves patient-specific optimization without requiring completely separate monitoring systems for each patient type. This segmentation maintains reasonable system complexity while improving adaptability.

The risk level calculation system serves multiple functions: it assesses patient risk, determines appropriate monitoring criteria, and guides treatment decisions. This multi-functional approach allows a single system to handle diverse patient needs without requiring separate specialized systems for each patient type, maintaining universality while achieving customization.