Biosignal Curve Classification for Implantable Medical Devices
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Solution Overview
Problem
Current methods for automatic reporting and analysis of biosignal data from implantable medical devices overwhelm healthcare providers with excessive data, particularly in cases of frequent similar arrhythmias, leading to increased evaluation effort without significant clinical value.
Innovation Solution
A computer-implemented method and system that classify similar biosignal curves detected by implantable medical devices using an algorithm to determine signal similarity based on predetermined criteria, reducing the number of recordings that need evaluation by presenting a representative example and frequency of similar episodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all biosignal curves are transmitted and stored for analysis, then complete diagnostic information is available, but data volume and evaluation effort increase significantly
Solution Approach 1:
The patent merges similar biosignal curves by identifying and grouping curves with comparable characteristics (arrhythmia patterns, morphology, timing). Instead of treating each curve as a separate entity, the system combines them into representative groups, reducing data volume while preserving diagnostic information about the frequency and patterns of arrhythmic events.
Solution Approach 2:
The patent creates representative copies or summaries of groups of similar biosignal curves rather than transmitting all original curves. A single representative curve or aggregated data structure is transmitted to the server, which captures the essential diagnostic features while reducing the quantity of data by a factor of several hundred or thousand times.
2Reliability
If all biosignal curves are transmitted to the server, then comprehensive analysis is possible, but energy consumption and transmission time increase
Solution Approach 1:
The patent performs preliminary filtering, classification, and grouping of biosignal curves locally at the implantable device before transmission. By pre-processing the data and identifying similar patterns in advance, the system reduces the amount of data that needs to be transmitted to the server, thereby lowering energy consumption and transmission time while maintaining analysis accuracy.
Solution Approach 2:
The patent extracts only the essential features and representative samples of biosignal curves for transmission to the server. Instead of transmitting complete high-resolution data for all curves, the system extracts key characteristics (arrhythmia type, duration, morphology features) and transmits only representative examples, reducing energy consumption while preserving diagnostic reliability.
3Productivity
If similar arrhythmias are grouped and reduced, then evaluation effort decreases, but detailed information about individual events is lost
Solution Approach 1:
The patent implements a nested data structure where representative grouped data contains references or embedded details about individual events. The hierarchical structure allows the system to present summarized information at one level (improving evaluation efficiency) while preserving access to individual event details at deeper levels (maintaining information completeness).
Data Source
AI summary
A computer implemented method for classification of similar biosignal curves detected by an implantable medical device, comprising the steps of providing a plurality of biosignal curves by the implantable medical device, storing the detected biosignal curves in a storage medium, applying an algorithm to the plurality of biosignal curves to determine a similarity of each of the plurality of biosignal curves with the plurality of biosignal curves with respect to at least one signal feature according to predetermined similarity criteria, and classifying biosignal curves matching the predetermined similarity criteria. Furthermore, a system for classification of similar biosignal curves detected by an implantable medical device is also provided.