Key result
The proposed iKardo intelligent ECG device achieved an accuracy of 99.58% in classifying critical and non-critical ECG beats from an imbalanced dataset.
Why the study?
Fast and precise detection of forms of arrhythmia is critical when identifying heart disease.
Does the iKardo intelligent ECG device improve the accurate detection of critical ECG beats in an ECG dataset?
Does the iKardo intelligent ECG device improve the accurate detection of critical ECG beats in an ECG dataset?
The iKardo intelligent ECG device demonstrates high accuracy (99.58%) in identifying critical ECG beats, potentially enabling fast and precise arrhythmia detection for IoT-based smart healthcare.
High accuracy on imbalanced ECG data supports consumer device development; leaves open prospective clinical validation.
In medical practices, the detection of diseases highly depends on different medical tests. Electrocardiogram (ECG) technique is commonly used for heart disease diagnosis. Doctors can measure pulse and other heart boundaries with the aid of it. Fast and precise detection of forms of arrhythmia is critical while identifying heart disease. In this work, we proposed an intelligent ECG device (called iKardo) with the built-in automatic capability to classify into critical and non-critical data from an imbalanced ECG dataset for the smart IoT or Internet of Things based smart healthcare device. Particular emphasis is given to the reduction of data misclassification by converting imbalanced data into a balanced dataset using necessary techniques. This proposed iKardo helps in the accurate detection of critical ECG beats with an accuracy of 99.58% and result in a smart healthcare monitoring device that would make the disease detection fast and precise.
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Maji et al. (2021) studied Arrhythmia. iKardo intelligent ECG device was evaluated on Accurate detection of critical ECG beats. The proposed iKardo intelligent ECG device achieved an accuracy of 99.58% in classifying critical and non-critical ECG beats from an imbalanced dataset.
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