Electrocardiogram (ECG) is an important diagnostic tool in medical engineering, presented
in the form of electrical signal. Its complete analysis requires three stages viz. pre …

The deployment of wireless health wearables is increasing in the framework of mobile
health monitoring. The power and processing efficiencies with data compression are key …

The heartbeat is a collection of waveforms of impulse produced by various cardio tissues of
the heart. The ECG classification is represented basic challenge is to deals with The …

Automated classification of each heartbeat class from the ECG signal is important to
diagnose cardiovascular diseases (CVDs) more quickly. ECG data acquired from the …

Time series data are becoming increasingly important due to the interconnectedness of the
world. Classical problems, which are getting bigger and bigger, require more and more …

A critical component of dealing with heart disease is real-time identification, which triggers
rapid action. The main challenge of real-time identification is illustrated here by the rare …

Early diagnosis of abnormal electrocardiogram (ECG) signals can provide useful information
for the prevention and detection of arrhythmia diseases. Due to the similarities in Normal …

Data Mining is a process of exploring the huge data in search of reliable patterns and
methodical relationship among variables. As a result, the findings may be validated through …

This paper proposes a novel hybrid framework for ECG signal classification and privacy
preservation. The framework includes two phases: the first phase uses LSTM+ CNN with …

Exponentially growing traffic demand and the permanent claim of minimizing operator
margins have resulted in Optical Spectrum as a Service (OSaaS), which enables leveraging …