Subcutaneous ECG Compression for Long-Term P-Wave Monitoring
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Solution Overview
Problem
Current ECG monitoring systems are inadequate for long-term, continuous recording of cardiac activity, particularly for capturing sporadic cardiac events, due to discomfort, limited duration, high cost, and inefficiencies in data compression, especially in sensing low-amplitude P-wave signals.
Innovation Solution
A subcutaneous electrocardiography monitor with a flexible extended wear electrode patch and a reusable recorder that optimizes electrode placement along the sternal midline for improved P-wave sensing, combined with a self-optimizing data compression algorithm to enhance monitoring duration and diagnostic accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If conventional ECG monitoring systems are used for extended period recording, then monitoring duration can be increased, but patient comfort and usability deteriorate due to discomfort and cumbersome operation
Solution Approach 1:
The monitoring system is divided into separate modular components: disposable electrode patches and a reusable recorder unit. This allows the uncomfortable electrodes to be replaced frequently while the recorder continues operation, extending monitoring duration without compromising patient comfort.
Solution Approach 2:
Disposable electrode patches are used instead of permanent electrodes. These inexpensive, replaceable patches can be changed regularly to maintain patient comfort while the reusable recorder unit continues to accumulate data for extended monitoring periods.
2Reliability
If more ECG data is recorded over extended periods, then diagnostic accuracy for sporadic cardiac events improves, but data storage requirements and processing complexity increase
Solution Approach 1:
The system performs preliminary data compression and filtering at the point of acquisition using embedded algorithms. This reduces the volume of data that needs to be stored and processed later, maintaining diagnostic accuracy for sporadic events while reducing overall system complexity.
Solution Approach 2:
The recorder unit automatically manages data compression, storage, and preliminary analysis without requiring external intervention. The system self-optimizes data retention based on detected cardiac events, maintaining high diagnostic accuracy while minimizing processing complexity.
3Measurement precision
If low-amplitude P-wave signals are enhanced for better detection, then sensitivity to atrial activity improves, but signal noise and interference increase
Solution Approach 1:
The system uses feedback mechanisms where detected signal characteristics inform real-time adjustments in amplification and filtering parameters. This allows enhancement of P-wave signals while dynamically suppressing noise based on actual signal conditions, improving detection sensitivity without excessive noise amplification.
Solution Approach 2:
The system dynamically changes signal processing parameters including gain, filtering, and sampling rate based on detected cardiac activity. During periods when P-waves are detected, parameters are optimized for atrial activity while maintaining noise rejection, achieving high sensitivity without excessive noise.
Data Source
AI summary
A subcutaneous and cutaneous electrocardiography monitor configured for self-optimizing ECG data compression is provided. The monitors include a housing, an electrocardiographic front end circuit, a memory, and a micro-controller configured to: obtain a series of electrode voltage values based on the sensed electrocardiographic signals; use a plurality of selection schemes to choose one or more of a plurality of compression algorithms associated with each of the selection scheme for testing; test the selected compression algorithms including applying the compression algorithms chosen using each of the selection schemes to a segment of the electrode voltage series; analyze results of the testing; select one or more compression algorithms chosen using one of the selection schemes for compressing at least a portion of the electrode voltage series based on the analysis; obtain a compression of at least the portion of the electrode voltage series; and store the compression within the memory.