Embedded Programmable Web-based ECG Monitoring & Detection System Using a Fast Algorithm

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Key Points

To develop an embedded, web-based electrocardiogram (ECG) monitoring and automated detection system to alleviate physician fatigue and diagnostic error during prolonged cardiac monitoring.
Engineered an embedded, programmable web-accessible platform integrated with a fast processing algorithm to analyze continuous cardiac electrical signals.
Designed automated signal processing routines tailored for detecting abnormal cardiac cycles in critical care settings.
Proposed an automated interpretation workflow that reduces human error caused by physician fatigue during large-volume ECG reviews.
Established a framework enabling more convenient and accurate real-time monitoring of cardiac electrical activity in critically ill patients.

P

Population

Patients under critical care requiring ECG monitoring

I

Intervention

Embedded Programmable Web-based ECG Monitoring & Detection System Using a Fast Algorithm

Proposes an automated web-based ECG monitoring system to assist physicians in detecting abnormal beats and reducing interpretation burden.

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Rajamohan et al. (2016) studied this question.

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