scholarly journals HRV-based Stress Level Assessment Using Very Short Recordings

Author(s):  
Ákos Jobbágy ◽  
Miklós Majnár ◽  
Lilla K. Tóth ◽  
Péter Nagy

The increased stress level of an individual often influences the medical test results. Heart rate variability (HRV) can be used to characterize stress level. Parameters in the time domain are preferred, as they make the assessment possible from relatively short (3 - 5 minute-long) recordings. Electrocardiographic signal (ECG) in Einthoven I lead and photoplethysmographic signal (PPG) at the fingertip were recorded in parallel. This paper analyzes the differences between the lengths of successive heart cycles (NN); the ratio of these differences exceeding 50 ms (pNN50) is considered to be a good measure of stress. The parameter triplet pNNtri has been defined dividing the differences of successive NN intervals into three categories: pNN0_20 (0 – 20 ms), pNN20_50 (20  – 50 ms) and pNN50 (greater than 50 ms). pNNtri characterizes the actual stress level significantly better (especially for senior persons) than pNN50 alone. NN intervals determined from PPG differ from those determined from ECG recorded in parallel.

2016 ◽  
Vol 27 (4) ◽  
pp. 663-670 ◽  
Author(s):  
Agata Zamecznik ◽  
Jerzy Stańczyk ◽  
Agnieszka Wosiak ◽  
Katarzyna Niewiadomska-Jarosik

AbstractAccording to metabolic programming theory, small-for-gestational age patients are at high risk of cardiovascular diseases also because of the possible malfunction of the autonomic nervous system. Autonomic disorders can be assessed by heart rate variability. The aims of this study were to compare time domain parameters of heart rate variability in children born as small-for-gestational age and appropriate-for-gestational age and to assess the correlation of the postnatal and current somatic parameters with the time domain parameters. The small-for-gestational age group consisted of 68 children aged 5–10 years who were born with birth weight below the 10th percentile. The appropriate-for-gestational age group consisted of 30 healthy peers, matched in terms of gender and age. On the basis of Holter monitoring, slightly higher average heart rate was observed in the small-for-gestational age group than in the appropriate-for-gestational age group. It was found that all the time domain parameters (SDNN, SDNNi, SDANNi, rMSSD, pNN50) were lower in the small-for-gestational age group than in the appropriate-for-gestational age group. In the small-for-gestational age group, girls had lower heart rate and some of the heart rate variability parameters (SDNN, SDNNi, SDANNi) in comparison with boys.Children born as small-for-gestational age have impaired function of the autonomic nervous system. Moreover, in the small-for-gestational age group, autonomic balance moved towards the sympathetic component, which was evidenced by higher heart rate. Children with faster heart rate and lower heart rate variability parameters may be at risk of cardiovascular disease.


2020 ◽  
Vol 39 (2) ◽  
Author(s):  
Ramiz Arabaci ◽  
Emirhan Pehlivan ◽  
Recep Gorgulu

Objective:  To determine the time-domain (SDNN, RMSSD) of heart rate variability (HRV) and heart rate (HR) of young football players in different training sessions. Method: 15 football players voluntarily participated (mean age = 15.5 ± 0.5 years, height= 171.1 ± 7.9 cm, weight= 62.4 ± 8.9 kg, BMI= 21.2 ± 1.9 kg/m2).  They performed three different training:  speed, coordination, and match formation. The HRV and HR of the participants were measured during warm-up, main training, and cool-down in each of the three different training sessions. Results:  There was a significant interaction between time and intervention on RMSSD (Frmat= 2.983) and HR (Frmat t= 4.894). The results show that HR and HRV are affected differently by diverse training practices in football.


2021 ◽  
Vol 499 (1) ◽  
pp. 247-250
Author(s):  
I. V. Kastyro ◽  
V. I. Popadyuk ◽  
I. V. Reshetov ◽  
M. G. Kostyaeva ◽  
S. G. Dragunova ◽  
...  

2014 ◽  
Vol 35 (4Supl) ◽  
pp. 2453 ◽  
Author(s):  
Thiago Hideky Yamauti dos Santos ◽  
Maíra Mont`Alvão Guedes de Araújo ◽  
Renato Souza Gonçalves ◽  
Mateus José Sudano ◽  
Luiz Henrique De Araújo Machado ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document