Publications

Identification of fetal QRS with base of abdominal electrocardiogram using backpropagation artifical neural network

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A method for fetal QRS identification (FECG) originating from a non-invasive recording of abdominal electrocardiogram (AECG) is conducted. The method utilizes a backpropagation Artificial Neural Network (ANN). An abdominal electrocardiogram recording is extracted to obtain an electrocardiographic QRS. The method is tested using the clinical dataset of Abdominal and Direct Fetal Electrocardiogram Database (adfecgdb) from … Read more

Identification of atrial fibrillation using descriptive statistic features and adaptive Neuro-Fuzzy inference system

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Atrial fibrillation (AF) is one of the most common arrhythmia which can cause a serious problem. Nevertheless, well treated AF might not lead to any further complication. Early detection of AF could be an important preventative step that have to be conducted. In this article, we aim to make an automatic detection of atrial fibrillation. … Read more

Drowsiness detection using radial basis function network with electrocardiographic RR interval statistical feature

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Drowsiness detection is important since its strong relation with traffic accident. A study for drowsiness level detection using Artificial Neural Network (ANN) method has been conducted. It utilizes electrocardigraphic RR interval statistical features and Radial Basis Function Artificial Neural Network or RBF Network as classifier. Drowsiness levels are defined by Karonlinska Sleep Scale (KSS) which … Read more