IABP Signal Quality Assessment for Precise Counterpulsation Timing
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Solution Overview
Problem
The challenge in IABP technology is accurately determining diastolic and systolic times from noisy physiological signals, leading to ineffective cardiac support due to low signal quality.
Innovation Solution
An IABP-based method and apparatus for assessing physiological signal quality using parameters like kurtosis, skewness, effective signal ratio, and dominant frequency, with support vector machine classification, to ensure signal quality meets preset requirements before balloon counterpulsation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physiological signals are acquired during IABP operation, then cardiac function support is enabled, but signal quality deteriorates due to noise contamination
Solution Approach 1:
The system performs preliminary signal quality assessment using multiple parameters (kurtosis, skewness, effective signal ratio, dominant frequency) before using the physiological signal for balloon counterpulsation control. This preliminary evaluation prevents unreliable signals from compromising the cardiac support function.
Solution Approach 2:
The system continuously monitors signal quality parameters and provides feedback to determine whether the physiological signal meets preset requirements. This feedback mechanism ensures that only high-quality signals are used for controlling the balloon inflation and deflation timing.
2Measurement precision
If signal quality assessment is performed using multiple parameters, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The signal quality assessment is divided into multiple independent parameter calculations (kurtosis, skewness, effective signal ratio, dominant frequency), each evaluating a specific aspect of signal quality. This segmentation allows comprehensive assessment while maintaining modular and manageable system complexity.
Solution Approach 2:
The assessment system uses a unified multi-parameter framework that can evaluate different types of physiological signals (electrocardiographic and arterial blood pressure signals) using the same set of parameters, making the system universally applicable without requiring separate assessment mechanisms for each signal type.
Data Source
AI summary
The present disclosure provides a method and an apparatus for assessing a physiological signal quality based on an IABP device, and relates to the technical field of medical instruments. The method includes: acquiring, in the operation process of an IABP device, physiological signal of a patient treated by the IABP device, where the physiological signal include an electrocardiographic signal and/or an arterial blood pressure signal; extracting signal parameter values of the physiological signal, where the signal parameter values include: a first kurtosis, a skewness, an effective signal ratio, a second kurtosis, and a dominant frequency; performing signal quality assessment on the physiological signal based on the signal parameter values; and implementing, based on the physiological signal, intra-aortic balloon counterpulsation in response to a signal quality assessment result represents that the signal quality of the physiological signal satisfies a preset signal quality requirement.