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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Android based self-diagnostic electrocardiogram system for mobile healthcare
Insights
This study introduces a mobile healthcare system for real-time electrocardiogram (ECG) diagnostics. The system uses detrended fluctuation analysis (DFA) to monitor heart conditions, potentially reducing deaths from cardiovascular diseases.
Area of Science:
- Biomedical Engineering
- Mobile Health Technology
- Cardiology
Background:
- Cardiovascular diseases are a leading cause of global mortality.
- Arrhythmia, an irregular heartbeat, is a common symptom and can be difficult to diagnose with short-term hospital ECGs.
- Continuous monitoring is crucial for managing heart conditions.
Purpose of the Study:
- To propose a mobile healthcare system for self-diagnostic electrocardiogram (ECG) monitoring.
- To enable real-time ECG diagnostics for patients, especially those remotely located.
- To facilitate early detection and intervention for cardiac events.
Main Methods:
- Implementation of a detrended fluctuation analysis (DFA) method for real-time ECG signal analysis.
- Development of a smartphone application for displaying patient health status.
- Integration of an alert system for critical health conditions.
Main Results:
- Experimental validation confirmed the accuracy of the developed smartphone ECG diagnostic application.
- The system demonstrated the feasibility of real-time, on-the-go cardiac monitoring.
- Successful verification of the DFA method's utility in a mobile setting.
Conclusions:
- The proposed mobile ECG system offers a potential solution for reducing cardiovascular disease mortality.
- Early alerts can facilitate timely medical intervention, possibly preventing heart attacks.
- The system empowers patients with continuous self-monitoring capabilities.
Background:
Cardiovascular diseases are the most common cause of death worldwide and are characterized by arrhythmia (i.e. irregular rhythm of heartbeat). Arrhythmia occasionally happens under certain conditions, such as stress. Therefore, it is difficult to be diagnosed using electrocardiogram (ECG) devices available in hospitals for just a few minutes. Constant diagnosis and monitoring of heartbeat is required to reduce death caused by cardiovascular diseases.
Objective:
Mobile healthcare system has emerged as a potential solution to assist patients in monitoring their own heart condition, especially those who are isolated from the reference hospital. This paper proposes a self-diagnostic electrocardiogram system for mobile healthcare that has the capability to perform a real-time ECG diagnostic.
Methods:
The self-diagnostic capability of a real-time ECG signal is achieved by implementing a detrended fluctuation analysis (DFA) method. The result obtained from DFA is used to display the patient's health condition on a smartphone anytime and anywhere. If the health condition is critical, the system will alert the patient and his medical practitioner for further diagnosis.
Results:
Experimental results verified the validity of the developed ECG diagnostic application on a smartphone.
Conclusion:
The proposed system can potentially reduce death caused by cardiovascular diseases by alerting the patient possibly undergoing a heart attack.
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