Detection of Obstructive Sleep Apnea using electrocardiographic features and discriminant analysis

Detection of Obstructive Sleep Apnea (OSA) is important as it is closely related to the cause of sudden death, due to heart failure during sleep. In this article, the method for OSA detection utilizes electrocardiographic parameters: QRS interval, QT interval and RT interval. The parameters are used for inputs of discriminant analysis. To find the … Read more

Detection of Atrial Fibrillation Using Artifical Neural Network with Power Spectrum Density of RR Interval of Electrocardiogram

Atrial fibrillation (AF) is a disorder of the heart with fairly high mortality in adults. AF is a common heart arrythmia which is characterized by a missing or irregular contraction of atria. Therefore, finding a method to detect atrial fibrillation is necessary. In this article a system to detect atrial fibrillation has been proposed. Detection … Read more