Mobile ECG Modular Architecture for Chest Pain Differentiation
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Solution Overview
Problem
Existing ECG systems are inadequate for differentiating cardiac from non-cardiac chest pain, leading to unnecessary ER visits, which result in significant psychological and economic burdens on patients and healthcare systems.
Innovation Solution
A mobile ECG system with a 9-lead configuration and interactive software that allows users to record, transmit, and analyze ECG data, utilizing evidence-based algorithms to risk-stratify the need for emergent medical care, thereby assisting in making informed decisions about ER visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ECG systems are used, then cardiac conditions can be detected, but differentiation between cardiac and non-cardiac chest pain is insufficient, leading to unnecessary ER visits
Solution Approach 1:
The patent segments the ECG system into modular components: a portable ECG device with 3-lead configuration, a smartphone application with analysis algorithms, and cloud-based storage. This segmentation allows the system to achieve high diagnostic accuracy through specialized functions in each module while reducing overall system complexity through distributed architecture.
Solution Approach 2:
The patent introduces a smartphone as an intermediary device between the portable ECG recorder and the clinical decision-making process. The smartphone application serves as a mediator that processes raw ECG data, applies diagnostic algorithms, and presents interpreted results to users, thereby enhancing diagnostic precision without requiring complex hardware at each stage.
2Reliability
If comprehensive ECG monitoring is provided in hospitals, then diagnostic accuracy improves, but healthcare costs and patient burden increase significantly
Solution Approach 1:
The patent enables patients to perform self-diagnostic ECG monitoring at home using portable devices and smartphone applications. The system automatically analyzes ECG data using embedded algorithms and provides interpreted results directly to patients, eliminating the need for frequent hospital visits and reducing both economic costs and psychological burden while maintaining diagnostic reliability.
Solution Approach 2:
The patent implements preliminary ECG screening and monitoring at home before hospital admission is necessary. By performing diagnostic assessments in advance through portable devices and automated analysis, the system identifies true emergencies early, allowing patients to avoid unnecessary ER visits and reducing the harmful economic and psychological effects of premature or unnecessary hospitalizations.
3Ease of operation
If portable ECG devices are used, then accessibility and ease of use improve, but measurement precision and diagnostic capability may be compromised
Solution Approach 1:
The patent merges the portable ECG recording device with a smartphone application that contains advanced signal processing and diagnostic algorithms. This combination allows the simple, portable hardware to capture ECG signals while the sophisticated software compensates for potential signal quality issues, maintaining measurement precision despite the reduced complexity of portable hardware.
Solution Approach 2:
The patent employs parameter changes in the signal processing domain to enhance measurement precision. The smartphone application applies digital filtering, noise reduction, and waveform analysis algorithms that transform raw ECG signals into diagnostically useful data, thereby maintaining high measurement accuracy despite the simplified portable recording hardware.
Data Source
AI summary
An electrocardiogram (“ECG”) system is provided. The system includes an ECG device capable of receiving ECG signals from a lead system attached to the user. The ECG device then renders the ECG signals into ECG data, and transmits the ECG data to at least one of a user device, such as a smart phone, or a cloud-based storage system. The user device is capable of rendering the ECG data into an ECG graph, and displaying the ECG graph to the user on an application (“app”). The system also provides for a cloud-based storage system capable storing the ECG data and providing access to the ECG data to the user and to medical personal.