Sudden cardiac death (SCD) is a global threat that demands our attention and research. Statistics show that 50% of cardiac deaths are sudden cardiac death. Therefore, early cardiac arrhythmia detection may lead to timely and proper treatment, saving lives. We proposed a less complex, fast, and more efficient algorithm that quickly and accurately detects heart abnormalities. Firstly, we carefully examined 23 ECG signals of the patients who died from SCD to detect their arrhythmias. Then, we trained a deep learning model to auto-detect and distinguish the most lethal arrhythmias in SCD: Ventricular Tachycardia (VT) and Ventricular Fibrillation (VF), from Normal Sinus Rhythm (NSR). Our work combined two techniques: Wavelet Transform (WT) and p...
This study proposes a new automatic classification method of arrhythmias to assist doctors in diagno...
Sudden cardiac death (SCD) results in millions of deaths annually; as it is a fatal heart abnormalit...
According to World Health Organization (WHO) report an estimated 17.9 million lives are being lost e...
ccording to World Health Organization (WHO) report an estimated 17.9 million lives are being lost ea...
Sudden cardiac death (SCD) is becoming a severe problem despite significant advancements in the usag...
Investigations show that millions of people all around the world die as the result of sudden cardiac...
Cardiovascular diseases (CVDs) are the highest leading cause of death worldwide with an approximate ...
Cardiovascular diseases (CVD) continues to be the leading cause of death worldwide, with over 17 mil...
Electrocardiograms (ECGs) are widely used to detect cardiovascular disease (CVD). Deep learning is a...
Sudden cardiac death (SCD) is an unexpected death of a person with or without knowing cardiac causes...
© 2017 by the authors. Early detection of sudden cardiac arrest (SCA) is critical to prevent serious...
Cardiovascular diseases (CVD) continues to be the leading cause of death worldwide, with over 17 mil...
Electrocardiogram (ECG) is the most frequent and routine diagnostic tool used for monitoring heart e...
Arrhythmia classification is a prominent research problem due to the computational complexities of l...
Sudden cardiac death (SCD) is becoming a severe problem despite significant advancements in the usag...
This study proposes a new automatic classification method of arrhythmias to assist doctors in diagno...
Sudden cardiac death (SCD) results in millions of deaths annually; as it is a fatal heart abnormalit...
According to World Health Organization (WHO) report an estimated 17.9 million lives are being lost e...
ccording to World Health Organization (WHO) report an estimated 17.9 million lives are being lost ea...
Sudden cardiac death (SCD) is becoming a severe problem despite significant advancements in the usag...
Investigations show that millions of people all around the world die as the result of sudden cardiac...
Cardiovascular diseases (CVDs) are the highest leading cause of death worldwide with an approximate ...
Cardiovascular diseases (CVD) continues to be the leading cause of death worldwide, with over 17 mil...
Electrocardiograms (ECGs) are widely used to detect cardiovascular disease (CVD). Deep learning is a...
Sudden cardiac death (SCD) is an unexpected death of a person with or without knowing cardiac causes...
© 2017 by the authors. Early detection of sudden cardiac arrest (SCA) is critical to prevent serious...
Cardiovascular diseases (CVD) continues to be the leading cause of death worldwide, with over 17 mil...
Electrocardiogram (ECG) is the most frequent and routine diagnostic tool used for monitoring heart e...
Arrhythmia classification is a prominent research problem due to the computational complexities of l...
Sudden cardiac death (SCD) is becoming a severe problem despite significant advancements in the usag...
This study proposes a new automatic classification method of arrhythmias to assist doctors in diagno...
Sudden cardiac death (SCD) results in millions of deaths annually; as it is a fatal heart abnormalit...
According to World Health Organization (WHO) report an estimated 17.9 million lives are being lost e...