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In this context, the synthesis of ECG cycles from arterial blood pressure (ABP) and central venous pressure (CVP) signals using Artificial Neural Network (ANN) is described. The proposed method utilizes synchronously sampled ABP and CVP cycles of a patient for the generation of ECG cycles of that patient. The signals in the study are taken from MGH/MF waveform database. The radial basis neural network...
This paper describes an algorithm for the automatic detection of systolic peaks in the Arterial Blood Pressure (ABP) signal. ABP waveform is rich in pathological information such as heart rate, systolic, mean and diastolic pressure therefore it is very important for clinical diagnosis in cardiology. The proposed algorithm deals with the development of energy based technique for the detection of systolic...
This paper describes a wavelet and energy based technique for the detection of ventricular premature arrhythmic beats in Electrocardiogram (ECG) that are of great importance in evaluating and predicting life threatening ventricular arrhythmias. Premature Ventricular Contraction (PVC) can be seen in ECG as abnormal wave shape of the QRS complex. A new scheme is proposed for the detection of premature...
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