… the first and the last heart condition to be diagnosed in a person while continuing … signals
are more commonly employed to differentiate the two [19–22]. Analysis of Heart Rate Variability …

… signals constitute a promising tool for the early diagnosis … topics of recent research in signal
processing is to maximize its … From quantitative analysis of waveform characteristics, eg, …

… of death in the world, so to help in their diagnosis and monitoring non-obtrusive techniques
are … the aim of extracting the heart rate (HR) and heart rate variability (HRV) features from the …

… in spite of the fact that the heart rate variability signal is not strictly periodical, as … Heart rate
variability signal processing: A quantitative approach as an aid to diagnosis in cardiovascular …

… diagnosis of severe HT conditions. An increased sympathetic activity saturate the ability to
modulate heart rate… that were unevenly placed due to beat-to-beat variation of RR intervals. Re…

… methods that utilize signal processing, classic machine … Currently, diagnosis of AF is based
on a standard 12-lead … We introduce a quantitative embodiment of this intuitive definition to …

… signal processing methods in diagnosis and prognosis of rolling element bearings. Next, it
discusses the various signal processing methods and their diagnostic … the signal processing …

… This adaptation is called heart rate variability (HRV) and can also be characterized in terms
of amplitude: weak, normal or high. A high HRV is the sign that the heart is healthy since it …

… , leading to grave consequences, both in diagnostic … signal processing tools that already
exist. The second aim of this dissertation is the creation of a method, using heart rate variability, …

… (HR) are increasingly used for screening, diagnosis, and monitoring of HR and rhythm
disorders such as atrial fibrillation (AF). These apps involve either the use of (1) …