Abstract

Heart Rate Variability (HRV) is an important tool for the analysis of a patient’s physiological conditions, as well a method aiding the diagnosis of cardiopathies. Photoplethysmography (PPG) is an optical technique applied in the monitoring of the HRV and its adoption has been growing significantly, compared to the most commonly used method in medicine, Electrocardiography (ECG). In this survey, definitions of these technique are presented, the different types of sensors used are explained, and the methods for the study and analysis of the PPG signal (linear and nonlinear methods) are described. Moreover, the progress, and the clinical and practical applicability of the PPG technique in the diagnosis of cardiovascular diseases are evaluated. In addition, the latest technologies utilized in the development of new tools for medical diagnosis are presented, such as Internet of Things, Internet of Health Things, genetic algorithms, artificial intelligence and biosensors which result in personalized advances in e-health and health care. After the study of these technologies, it can be noted that PPG associated with them is an important tool for the diagnosis of some diseases, due to its simplicity, its cost–benefit ratio, the easiness of signals acquisition, and especially because it is a non-invasive technique.

Highlights

  • One of the fundamental characteristics of the heart is to be able to change its heartbeat rate.These spontaneous fluctuations of the heart rate (HR) reflect the relationship between ongoing interferences in the cardiovascular system and the response of its regulatory mechanisms [1].One of the methods used to evaluate cardiovascular autonomic nervous system activity is Heart Rate Variability (HRV) analysis [2]

  • Since the activity of the autonomic nervous system and the heart rate are related in a nonlinear manner, the changes in the sympathetic activity or the vagal tone have the ability to change the response of the heart rate to the stimulation of any branch of the system [3,4]

  • The results showed that the method is able to measure changes in arterial pulse wave velocity (PWV) that result from fluctuations in mean arterial pressure

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Summary

Introduction

One of the fundamental characteristics of the heart is to be able to change its heartbeat rate.These spontaneous fluctuations of the heart rate (HR) reflect the relationship between ongoing interferences in the cardiovascular system and the response of its regulatory mechanisms [1].One of the methods used to evaluate cardiovascular autonomic nervous system activity is HRV analysis (cranial heart rate variability) [2]. One of the fundamental characteristics of the heart is to be able to change its heartbeat rate These spontaneous fluctuations of the heart rate (HR) reflect the relationship between ongoing interferences in the cardiovascular system and the response of its regulatory mechanisms [1]. The heart rate variability is constantly modulated through complex interactions between branches of the autonomic nervous system, the sympathetic nervous system, and the vagus nerve [3]. Since the activity of the autonomic nervous system and the heart rate are related in a nonlinear manner, the changes in the sympathetic activity or the vagal tone have the ability to change the response of the heart rate to the stimulation of any branch of the system [3,4]

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