Remote ECG Analysis Cloud System for Diagnostic Reliability
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Solution Overview
Problem
Current electrocardiograph (ECG) devices require significant processing power and storage for analyzing ECG data, necessitating updates for new algorithms, which can be cumbersome and inefficient, especially when remote analysis and data reporting are involved.
Innovation Solution
A cloud-based system that collects ECG data from various devices and transmits it to a remote analysis server, where algorithms detect abnormalities, allowing for selection based on acquisition parameters, and refers patients to healthcare providers for further attention, generating revenue through referral fees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ECG analysis algorithms are embedded in electrocardiograph devices, then diagnostic capability is improved, but device complexity and storage requirements increase
Solution Approach 1:
The patent extracts the analysis algorithms from the electrocardiograph device and relocates them to a remote server. The device only captures and transmits ECG data, while the computationally intensive analysis is performed externally. This resolves the contradiction by maintaining diagnostic capability through remote analysis while significantly reducing the processing power and storage space requirements of the device itself.
Solution Approach 2:
The patent introduces a remote server as an intermediary between the ECG data capture and the diagnostic analysis. The server acts as a mediator that receives raw ECG data from simple devices, performs the complex algorithmic analysis, and returns diagnostic results. This intermediary approach allows sophisticated analysis without burdening the device with complex hardware requirements.
2Measurement precision
If new processing algorithms are added to electrocardiographs, then analysis accuracy is improved, but updates become cumbersome and require additional storage space
Solution Approach 1:
By extracting algorithms from the device to a remote server, the patent enables easy updates of analysis accuracy without requiring device manufacturing changes or storage expansion. Algorithm updates are simply deployed to the server, automatically improving all connected devices without physical intervention.
Solution Approach 2:
The remote server serves multiple devices simultaneously with a single set of algorithms. This universal approach allows one algorithm update to improve analysis accuracy across the entire network of devices, eliminating the need for individual device updates and simplifying the update process significantly.
3Device complexity
If ECG data is analyzed remotely, then device requirements are reduced, but data transmission and qualification processes are needed
Solution Approach 1:
The patent implements preliminary action by having the device capture and transmit ECG data along with acquisition parameters before analysis occurs. The data is prepared and sent in advance to the remote server, which then performs analysis. This preliminary data preparation simplifies the overall process by ensuring all necessary information is available before the analytical step.
Solution Approach 2:
The system implements feedback by having the remote server analyze the transmitted ECG data and send diagnostic results back to the device or user. This feedback loop completes the analysis process, providing value despite the added data transmission step. The automated feedback mechanism reduces operational complexity by eliminating manual intervention in the analysis workflow.
Data Source
AI summary
A method of obtaining and analyzing ECG data from a patient or group of patients is disclosed. The ECG data is obtained from the patient at an acquisition device. Once the ECG data is obtained, the ECG data is transmitted to an analysis server that is operated by an analysis provider and is located remote from the location of the acquisition device. Along with the ECG data, acquisition parameters are transmitted to the analysis server. At the analysis server, one of a plurality of algorithms is selected to analyze the ECG data. If an abnormality is detected, the patient information is directed to a healthcare provider who can then contact the patient to schedule an appointment. Based upon the referral, a referral fee can be transferred from the healthcare provider to the analysis provider. The patient can be prompted to provide additional information and selections that dictate the level of analysis generated.