Filtering Ventilation Artifacts in Patient Signals
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Solution Overview
Problem
During cardiopulmonary resuscitation (CPR), chest compressions and ventilations introduce artifacts in patient signals, making it difficult for medical devices to accurately diagnose the patient's condition, particularly in cases of Ventricular Fibrillation (VF), where timely intervention is crucial.
Innovation Solution
An external medical device is designed to detect ventilation artifacts and apply filters to remove frequencies associated with chest compressions, ventilations, and their harmonics, thereby cleaning the patient signal for more accurate diagnosis and treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If chest compressions and ventilations are performed during CPR, then blood flow and oxygenation are improved, but artifacts are introduced in patient signals making diagnosis difficult
Solution Approach 1:
The signal processing is segmented into multiple stages: detection of compression and ventilation artifacts, separation of these artifacts from the ECG signal, and staged filtering to remove artifacts at different frequencies. This segmentation allows effective artifact removal while preserving diagnostic ECG information.
Solution Approach 2:
An intermediary signal processing system is introduced between the artifact-contaminated patient signal and the diagnostic display. This intermediary system detects artifacts, applies appropriate filters, and produces a cleaned signal for diagnosis, effectively mediating between the harmful artifacts and the need for accurate diagnosis.
2Measurement precision
If multiple filters are applied to remove artifacts, then signal quality is improved, but device complexity increases
Solution Approach 1:
The filtering system dynamically adjusts which filters are applied based on real-time detection of artifact characteristics. The system monitors the patient signal for presence of compression and ventilation artifacts and activates appropriate filters only when needed, rather than applying all filters continuously. This dynamic approach maintains signal quality while reducing unnecessary processing complexity.
Solution Approach 2:
The system employs feedback mechanisms where the detected artifact characteristics inform the selection and adjustment of filter parameters. The output of artifact detection feeds into the filter selection logic, creating a closed-loop system that adapts to varying artifact conditions and optimizes filtering performance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively removes artifacts from patient signals, allowing for more accurate diagnosis and potentially improving survival rates in VF cases by enabling timely and effective intervention.
Implementation Method 1
at least one filter mechanism is applied to the patient signal to remove artifacts at a) frequency Fc, b) a higher harmonic of frequency Fc, and c) a third frequency substantially equaling frequency Fc plus or minus frequency Fv
Data Source
AI summary
In embodiments, an external medical device is intended to care for a patient. If it receives an input that signifies that ventilation artifact is present in a signal of the patient, it transmits a corrective signal responsive to the received input. In further embodiments, a patient signal is received, which is generated from a patient while the patient is or was receiving chest compressions at a frequency Fc, and also receiving ventilations at frequency Fv. At least one filter mechanism may be applied to the patient signal to substantially remove artifacts at a) frequency Fc, b) a higher harmonic of frequency Fc, and c) a third frequency substantially equaling frequency Fc plus or minus frequency Fv, while substantially passing other frequencies between them. As a result, the patient signal can be cleaner, for diagnosing the patient's state more accurately.