Cardiac Event Processor Segmentation for Nerve Stimulation Diagnosis
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Solution Overview
Problem
Current heart treatment devices cannot accurately diagnose the state of a heart during nerve stimulation and fail to distinguish between heartbeats caused by nerve stimulation and unstimulated heartbeats, limiting the effectiveness of nerve stimulation therapy.
Innovation Solution
A cardiac-event processor and heart treatment device that store and analyze cardiac event data, including heartbeats, in association with the presence or absence of nerve stimulation, allowing for separate calculation and display of heart rates and frequency distributions to clearly ascertain the therapeutic effect of nerve stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If nerve stimulation is applied to treat tachycardia or fibrillation, then the heart rate is reduced and therapeutic effect is achieved, but the ability to accurately diagnose heart state is compromised because stimulated and unstimulated heartbeats cannot be distinguished
Solution Approach 1:
The patent segments cardiac event data into two distinct categories: heartbeats occurring during nerve stimulation and heartbeats occurring without stimulation. The processor separates these events and generates independent histograms for each category, enabling accurate diagnosis by preventing contamination of diagnostic data with therapeutic effects.
2Ease of operation
If cardiac event information is displayed as a single histogram, then the device complexity is reduced and ease of operation is improved, but the loss of information occurs because unstimulated and stimulated heartbeats are mixed together
Solution Approach 1:
The patent divides the cardiac event data into separate histograms: one histogram displays heartbeats without nerve stimulation, and another histogram displays heartbeats during nerve stimulation. This segmentation preserves complete information while maintaining operational simplicity through automated processing.
Solution Approach 2:
The processor automatically identifies and separates cardiac events based on the presence or absence of nerve stimulation, providing feedback-based classification that prevents information loss while maintaining ease of operation through automated distinction between stimulated and unstimulated events.
Data Source
AI summary
Provided is a cardiac-event processor (1) including a storing unit (11) that stores a time history of cardiac events, including heartbeats, in association with the presence/absence of nerve stimulation; a heart rate calculator (12) that calculates a heart rate for when each heartbeat is detected, on the basis of the time history of the cardiac events stored in the storing unit (11); and a frequency data generator (13) that separately adds up frequencies of the heart rates calculated by the heart rate calculator (12) for the cases with and without the nerve stimulation.