this paper aims to propose an effective paroxysmal atrial fibrillation (paf) predictor which is based on the analysis of the heart rate variability (hrv) signal. predicting the onset of paf, based on non-invasive techniques, is clinically important and can be invaluable in order to avoid useless therapeutic intervention and to minimize the risks for the patients. this method consists of four st...

background and objective: obstructive sleep apnea syndrome (osas) is a prevalent disease in adults. limited evidence regarding the effect of severity of sleep apnea and depression on heart rate variability (hrv) indices exists. hence, we decided to focus on the association between hrv and severity of osas based on depression score. materials and methods: a total of 193 patients with confirmed o...

in this paper the main objective is to quantify and compare the instantaneous value of heart rate for normal breathing patterns during meditation and non meditation conditions. this paper involves analysis of variance (anova) technique for the analysis of the heart rate variability patterns during the meditative and non meditative states. the analysis is divided into three stages i.e. data acqu...

introduction automatic human emotion recognition is one of the most interesting topics in the field of affective computing. however, development of a reliable approach with a reasonable recognition rate is a challenging task. the main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (hrv). in t...

BACKGROUND Heart rate fluctuates beat-by-beat asymmetrically which is known as heart rate asymmetry (HRA). It is challenging to assess HRA robustly based on short-term heartbeat interval series. METHOD An area index (AI) was developed that combines the distance and phase angle information of points in the Poincaré plot. To test its performance, the AI was used to classify subjects with: (i) a...