China 
Africa 
Explore chapters and articles related to this topic
Case studies: cardiac dysrhythmias
Published in William H. Bush, Karl N. Krecke, Bernard F. King, Michael A. Bettmann, Radiology Life Support (Rad-LS), 2017
Thomas F. Bugliosi, William H. Bush, Geoffrey S. Ferguson
Atrial flutter is believed to be caused by a re-entry phenomenon at the atrial level. The atrial rate is usually about 300 beats/min and appears as a ‘saw tooth’ pattern in lead II. The AV node often blocks down in an even manner (2:1, 4:1), giving a ventricular rate of 150 or 75 beats/min.
Sparse based recurrent neural network long short term memory (rnn-lstm) model for the classification of ecg signals
Published in Applied Artificial Intelligence, 2022
The noiseless signal then proceeds with Adaptive thresholding technique for finding the peaks of the ECG signal. After the detection of P-QRS-T peaks of the input ECG signal, the segmented signal is decomposed into the dictionary matrix (features of the ECG signal) and sparse matrix, using Sparse representation technique. Sparse decomposition is performed for each ECG data. A total of 547 sparse matrices for 547 ECG data are split into training (287) and testing (260) inputs for the RNN-LSTM classifier. Five classes of ECG signals are considered, namely, Normal Sinus Rhythm (NSR), Atrial FIBrillation (AFIB), Atrial Flutter (AFL), Premature Ventricular Contractions (PVC), and Supra Ventricular Tachy Arrhythmia (SVTA). The classifier will send the classified result ie., the class under which the test input signal falls.
A review of arrhythmia detection based on electrocardiogram with artificial intelligence
Published in Expert Review of Medical Devices, 2022
Jinlei Liu, Zhiyuan Li, Yanrui Jin, Yunqing Liu, Chengliang Liu, Liqun Zhao, Xiaojun Chen
According to the American Heart Association statistics, cardiovascular diseases (CVDs) have become the primary cause of death in the world [1]. Due to irregular and unhealthy lifestyles, patients with CVDs tend to become younger. The early symptoms of most CVDs are irregular heartbeats, also known as arrhythmia. Arrhythmia is generated by the disordered electrical activity of the heart, and some arrhythmia such as ventricular tachycardia (VT) and ventricular fibrillation (VF) can be life-threatening [2]. In addition, atrial fibrillation (AF), atrial flutter (AFL), premature ventricular contraction (PVC), premature atrial contraction (PAC), paroxysmal supraventricular tachycardia (PSVT), and bradycardia are also common types of arrhythmia [3]. Therefore, rapid detection and accurate diagnosis of cardiac arrhythmia are particularly essential.
Recent advances in the tools available for atrial fibrillation ablation
Published in Expert Review of Medical Devices, 2022
Ahmed Kotb, Shui Hao Chin, G. Andre Ng
The ‘Cryocure’ trials (CC1, NCT02355106 and CC2, NCT02839304) sought to evaluate ultra-low temperature cryoablation’s safety and efficacy as the first-in-human studies. These were single arm, prospective and multicentre. They collectively enrolled 30 patients (17 with atrial flutter and 13 with atrial fibrillation). This aimed to assess the safety as well as the acute success of Cavotricuspid isthmus (CTI) ablation using ultra low temperature cryoablation. Among the 30 patients enrolled, acute success (defined as the confirmation of complete bidirectional conduction block cross the cavo-tricuspid isthmus at the end of the procedure after a minimum of 30 min following the last CTI freeze) was achieved in all. There was one serious adverse event reported as being procedure-related and no unexpected procedural safety events were reported.