Heartbeat Detection via Velocity Sum Thresholding
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Solution Overview
Problem
Current heartbeat detection and categorization methods in electrophysiology are inefficient in real-time processing and fail to accurately identify and categorize heartbeats early in the heartbeat period, particularly for ectopic beats, due to reliance on post-processing of ECG signals at multiple time points.
Innovation Solution
An automatic method that detects heartbeats by determining velocity sums from multiple ECG signals, comparing them to a threshold, and categorizing based on vector similarity with stored template vectors, allowing for real-time identification and adaptation to signal changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If post-processing of ECG signals at multiple time points is used, then measurement precision of heartbeat parameters is improved, but loss of time increases and real-time detection capability deteriorates
Solution Approach 1:
The patent applies preliminary action by detecting heartbeats at the very beginning of the QRS complex using velocity-based detection at a single time point, rather than waiting to process the entire heartbeat waveform. This allows early detection while maintaining accuracy by using the initial velocity characteristics that are sufficient for reliable heartbeat identification.
Solution Approach 2:
The invention extracts only the essential velocity information from the ECG signals at the critical initial moment of the QRS complex, rather than processing all signal features throughout the entire heartbeat period. This extraction of key velocity parameters enables rapid detection without the time cost of comprehensive post-processing.
2Measurement precision
If multiple ECG signals are processed individually, then measurement precision is maintained, but device complexity increases and processing efficiency decreases
Solution Approach 1:
The patent merges multiple ECG channel signals by summing their absolute velocities at the detection moment. This combining approach maintains the diagnostic information from multiple channels while simplifying the detection logic to a single threshold comparison operation, reducing overall system complexity.
Solution Approach 2:
The velocity-based detection method serves multiple functions simultaneously: it detects heartbeat occurrence, determines detection timing, and provides input for heartbeat categorization. This multi-functional approach eliminates the need for separate processing streams for different detection purposes.
3Productivity
If velocity-based detection at a single time point is used, then productivity and real-time capability are improved, but measurement precision may be compromised
Solution Approach 1:
The patent replaces traditional mechanical signal processing approaches (filtering, waveform analysis, multiple time-point sampling) with a velocity-based detection method that calculates the rate of change of signal amplitude. This substitution enables rapid single-time-point detection while maintaining precision by capturing the characteristic velocity signature of the QRS complex onset.
4Adaptability or versatility
If adaptive threshold adjustment is implemented, then adaptability to signal changes is improved, but device complexity increases
Solution Approach 1:
The system implements feedback by continuously monitoring the maximum velocity sum from recent heartbeats and using this information to dynamically adjust the detection threshold. This feedback mechanism allows the system to adapt to changing signal conditions while maintaining a relatively simple threshold adjustment algorithm based on recent historical data.
Data Source
AI summary
An automatic method for detecting heartbeats of a patient from two or more selected ECG signals, the method comprising: (a) determining a velocity for each of the selected signals; (b) summing together absolute values of each of the velocities; (c) comparing the sum with a threshold T having a value about one-half of an expected maximum value of the sum; and (d) if the sum is greater than the threshold T and if elapsed time since an immediately-previous heartbeat detection is greater than a preset refractory period tR, a heartbeat has been detected at a time tD of the velocity determinations. The method also further includes steps by which the detected heartbeats are categorized based on the velocities at the time of detection.