Utilizing occurrence sequence of Heart Rate's phase space points in order to discriminate heart Arrhythmia

Diagnosis of Sleep Apnea by Evaluating Points Distri?bution in Poincare Plot of RR Intervals

“…The points on this line correspond to equal consecutive RR intervals, the points above and below it correspond to decreasing and increasing heart rate, respectively [6,8]. Moharreri et al proposed new features to quantify distribution of points relative to identity line [9]. They performed global and local analyses of points relative to the identity line.…”

“…They performed global and local analyses of points relative to the identity line. In GOM, the points in Poincare plot are partitioned into three regions ( Figure 2) [9]:…”

“…In global method, a 3×1 vector (GOM) was constructed by counting number of points in each region [9]: ]…”

“…Moharreri et al also considered every two consecutive points Pi and Pi+1 in Poincare plot and created nine features (COM) based on position of these two points relative to each other and identity line [9,10], Figure 3. COM is a 3×3 matrix which elements are defined as follows [9]:…”

Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier

“…The possibility or impossibility of fitting an ellipse representing the geometrical properties of 's dynamic. Moreover, the local temporal behaviour of the phase space points is analyzed based on co-occurrence matrix [6]. The next selected feature is defined as:…”