ECG Patch Electrode Positioning via Signal Feedback
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Solution Overview
Problem
Self-attachment of electrocardiogram patches by non-specialists often results in suboptimal positioning, leading to increased digital noise in electrocardiogram signals due to improper placement.
Innovation Solution
An electronic device with multiple electrodes and a processor that detects signals and generates guide information to correct the attachment position of the patch, based on biological signals, ensuring accurate placement and reduced noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a patient attaches an electrocardiogram patch by himself/herself at home, then the ease of operation is improved, but the manufacturing precision of electrode placement deteriorates
Solution Approach 1:
The system measures biological signals from multiple electrodes, analyzes the quality of these signals to determine attachment position accuracy, and provides feedback guidance to the user to adjust the patch position. This closed-loop feedback mechanism enables self-attachment users to achieve placement accuracy comparable to professional application.
Solution Approach 2:
The system automatically analyzes the biological signals and determines attachment quality without requiring external professional assessment. The device performs self-diagnosis of its own placement accuracy and guides the user for correction, eliminating the need for medical specialists to verify proper attachment.
2Ease of operation
If a patient attaches an electrocardiogram patch by himself/herself at home, then the ease of operation is improved, but the measurement precision deteriorates due to increased digital noise
Solution Approach 1:
The system continuously monitors signal quality metrics such as digital noise levels and provides real-time feedback to the user about attachment quality. This enables users to adjust their attachment technique to achieve optimal signal quality without professional intervention.
Solution Approach 2:
The system replaces manual professional assessment of attachment quality with automated electronic analysis of biological signals. The processor analyzes signal characteristics to objectively determine placement accuracy, substituting subjective mechanical evaluation with precise electronic measurement.
3Measurement precision
If multiple electrodes are used to improve measurement accuracy, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The system uses a single multi-functional device that integrates multiple electrodes, signal acquisition, processing, analysis, and user guidance capabilities. This unified device performs multiple functions (measurement, analysis, feedback provision) that would otherwise require separate equipment, maintaining simplicity while achieving high measurement precision.
Data Source
AI summary
An electronic device and method are disclosed herein. The electronic device includes a housing, a first, second, third and fourth electrode coupled to the housing, a communication module, and a processor. The processor implements the method, including: detect a first signal using the first electrode and the fourth electrode, detect a second signal using the second electrode and the fourth electrode, detect a third signal using the third electrode and the fourth electrode, transmit the first signal, the second signal, and the third signal to an external electronic device via the communication module, and receive, from the external electronic device, via the communication module, data for generating guidance information to correct an attachment position of the electronic device, wherein the guidance information is generated based on: a first biological signal generated based on the first signal and the second signal, a second biological signal generated based on the second signal and the third signal, and a third biological signal generated based on the third signal and the first signal.