ECG Waveform Analysis via Selective Noise Filtering
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Solution Overview
Problem
Existing electrocardiogram waveform analysis techniques struggle to accurately eliminate erroneous determinations of beats, particularly extrasystolic beats, leading to degraded reliability in arrhythmia diagnosis due to motion artifacts and noise interference.
Innovation Solution
An electrocardiogram waveform analysis apparatus comprising a waveform input section, application range setting section, filtering section, beat detector, and output section, which applies a filtering process to specific portions of the waveform to reduce noise and accurately detect beats, using filters like RC or LC filters or digital methods to optimize noise elimination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a filtering process is applied to the entire electrocardiogram waveform to eliminate noise, then noise reduction is improved, but beat detection accuracy deteriorates due to distortion of beat waveforms
Solution Approach 1:
The patent applies filtering selectively to specific time periods of the electrocardiogram waveform rather than uniformly across the entire signal. The filtering section is configured to apply the filtering process only to time periods where beats are not present, thereby eliminating noise in those regions while preserving the original waveform characteristics during beat occurrences. This local application of filtering quality resolves the contradiction by reducing noise without distorting beat waveforms.
Solution Approach 2:
The patent segments the electrocardiogram waveform into different time periods based on the presence or absence of beats. The application range setting section divides the waveform into segments where beats occur and where they do not occur. By applying filtering only to the non-beat segments, the system achieves noise reduction while maintaining beat detection accuracy, as the beat segments remain unfiltered and preserve their original characteristics.
2Object-affected harmful factors
If conventional filtering techniques are applied to reduce motion artifacts, then motion artifact reduction is improved, but erroneous determination of beats persists
Solution Approach 1:
The patent applies filtering selectively to time periods where beats are absent, thereby reducing motion artifacts and noise in those regions without affecting the beat waveforms. This local application ensures that motion artifacts are eliminated from non-beat periods while beat determination reliability is maintained because the beat waveforms themselves are not subjected to filtering that could cause erroneous determination.
Solution Approach 2:
The patent performs preliminary identification of beat waveforms and their time periods before applying filtering. The application range setting section determines which time periods contain beats and which do not, then uses this information to configure the filtering section to apply filtering only to non-beat periods. This preliminary action ensures that filtering is applied at the appropriate times and locations, preventing erroneous beat determination while still reducing motion artifacts.
Data Source
AI summary
An electrocardiogram waveform analysis apparatus includes: a waveform input section to which an electrocardiogram waveform is input; an application range setting section configured to set an application range of a filter in the input electrocardiogram waveform; a filtering section configured to apply a filtering process to the application range of the filter; a beat detector configured to detect beats from the electrocardiogram waveform that has undergone the filtering process; and an output section configured to perform an outputting process based on the detected beats.