Volume 17, Issue 1 (2020)
ioh 2020, 17(1): 544-556 |
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falahati M, Abbaszadeh M, taheri F, Najafi Mojareh M, zokaei M. Common methods in the analysis of heart rate variability: a review study. ioh 2020; 17 (1) :544-556
URL: http://ioh.iums.ac.ir/article-1-3072-en.html
URL: http://ioh.iums.ac.ir/article-1-3072-en.html
Mohsen Falahati 
, Mojtaba Abbaszadeh , Fereshteh Taheri , Mohammad Najafi Mojareh , Mojtaba Zokaei *
, Mojtaba Abbaszadeh , Fereshteh Taheri , Mohammad Najafi Mojareh , Mojtaba Zokaei *
University of Medical Sciences , mzokaei2011@gmail.com
Abstract: (8970 Views)
Introduction and aim: Electrocardiography is one of the most useful and common tools for examining heart function. In studies in the 1960s, heart rate variability (HRV) was introduced and used as a non-invasive tool to evaluate the functions of the autonomic nervous system and other functional disorders of the heart under various conditions. In addition to the clinical applications of heart rate variability, this physiological parameter is also widely used in ergonomics and occupational health. In the study of mental workload, exposure to industrial noise, shift work, stress, and other parameters related to the workplace benefit heart rate variability. Heart rate variability is regulated by the autonomic nervous system and by the sinoatrial (SA) node. The autonomic nervous system is divided into sympathetic and parasympathetic branches, the autonomic nervous system is divided into sympathetic and parasympathetic branches, thereby affecting the heart rate and heart rate variability. Sympathetic activity tends to increase heart rate and decrease heart rate variability, while parasympathetic tend to reduce heart rate and increase heart rate variability. The most prominent component of the variable heart rate period is a respiratory arrhythmia (RSA), which is considered to be 0.15 to 0.4 Hz. The high-frequency component is only affected by parasympathetic neural activity. Another component of heart rate variability is the low-frequency (LF) component in the frequency range, 0.04 to 0.15 Hz. This component is affected by sympathetic and parasympathetic neural activity. Many computational methods have been developed for HRV analysis, each of which is associated with strengths and weaknesses. Although there may still be difficulties in interpreting this index, it provides researchers and health experts with reliable non-invasive physiological information. HRV parameters can be classified in terms of time, frequency, and nonlinear methods. The commercially available ECG equipment does not usually include HRV features due to the lack of standard diagnostic protocols. As an alternative to this commercial software, many simple, online and free, device-independent, and portable software has been developed for HRV analysis and cardiovascular research.
Type of Study: Review Article |
Subject:
Ergonomics
Received: 2020/03/5 | Accepted: 2020/06/13 | Published: 2020/09/23
Received: 2020/03/5 | Accepted: 2020/06/13 | Published: 2020/09/23
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