Ballistocardiogram Signal Analysis for Arrhythmia Detection
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Solution Overview
Problem
Current ballistocardiogram (BCG) devices have limited diagnostic relevance for detecting arrhythmias, particularly those not accompanied by fluctuations in heart rate or breathing patterns, such as sick sinus syndrome and AV block, due to the dominance of the breathing component in the BCG signal.
Innovation Solution
A method for analyzing BCG signals by selecting a time window, calculating the actual energy content of the cardiac component, comparing it to a reference energy content, and generating a signal when the difference exceeds a threshold, while also separating cardiac and respiratory components and modulating the cardiac signal to reduce respiratory influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the breathing component is used for monitoring, then the patient comfort is improved (no wearable sensors needed), but the detection capability for arrhythmias deteriorates due to the dominance of breathing signal energy
Solution Approach 1:
The patent segments the BCG signal into distinct components: cardiac component, respiratory component, and noise component. By separating these components through signal processing techniques, the system can analyze cardiac arrhythmias independently from the dominant respiratory signal, thereby maintaining patient comfort while improving arrhythmia detection capability
Solution Approach 2:
The patent extracts the cardiac component signal from the composite BCG signal by removing or suppressing the respiratory component. This extraction process isolates the cardiac information needed for arrhythmia detection, allowing the system to maintain the non-wearable advantage while achieving precise cardiac monitoring
2Device complexity
If standard BCG signal analysis is used, then device complexity is kept simple, but diagnostic precision for detecting arrhythmias deteriorates
Solution Approach 1:
The patent applies preliminary signal processing actions to the BCG signal before arrhythmia analysis, including filtering to remove respiratory components and enhancing cardiac components. This preprocessing prepares the signal for more accurate arrhythmia detection without requiring complex real-time processing during diagnosis
Solution Approach 2:
The patent introduces intermediate signal processing steps that act as mediators between the raw BCG signal and the final arrhythmia detection. These intermediate processing stages selectively enhance cardiac information while suppressing respiratory interference, improving detection accuracy without significantly increasing overall system complexity
Data Source
AI summary
The present invention discloses a method and signal processing device (620) for analyzing a ballistocardiogram (BCG). The actual energy content of the cardiac part of the BCG in a predefined time window is determined and compared with a reference value. A difference between the actual energy content and the reference energy content exceeding a predefined threshold is indicative of the presence of an arrhythmia in the evaluated part of the BCG because the force exerted by an arrhythmic ventricular contraction, if at all present, is typically substantially smaller than the force exerted by a ventricular contraction of a regular heartbeat. This insight facilitates a more accurate detection of the presence of arrhythmias in a BCG compared to BCG detection schemes based on a heart rate analysis.