scholarly journals Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation

2019 ◽  
Author(s):  
Miguel Enrique Sánchez-Hechavarría ◽  
Shreya Ghiya ◽  
Ramon Carrazana-Escalona ◽  
Sergio Cortina-Reyna ◽  
Adán Andreu-Heredia ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Gini Coefficient ◽  
Mental Stress ◽  
Stress Evaluation ◽  
Heart Rate Variability Spectrum

scholarly journals Study of Mental Stress Evaluation based on analysis of Heart Rate Variability

2010 ◽  
Vol 22 (3) ◽  
pp. 105-111 ◽  
Author(s):  
Yoshiaki Matsumoto ◽  
Nobuaki Mori ◽  
Ryoh Mitajiri ◽  
Zhongwei Jiang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Stress ◽  
Stress Evaluation

Complexity and time asymmetry of heart rate variability are altered in acute mental stress

2014 ◽  
Vol 35 (7) ◽  
pp. 1319-1334 ◽  
Author(s):  
Z Visnovcova ◽  
M Mestanik ◽  
M Javorka ◽  
D Mokra ◽  
M Gala ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Stress ◽  
Time Asymmetry

Effect of short-term mental stress on time- domain indices of heart rate variability in obese individuals – A case- control study

Biomedicine ◽  
2021 ◽  
Vol 41 (2) ◽  
pp. 274-277
Author(s):  
Priya S.A. ◽  
R. Rajalakshmi
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Neuronal Activity ◽  
Time Domain ◽  
Mental Stress ◽  
Mental Arithmetic ◽  
High Body Mass Index ◽  
Control Group ◽  
Stress Task ◽  
The Individual

  Introduction and Aim: Mental stress may impact dramatically on dynamic autonomic control on heart. Many studies have demonstrated association of high body mass index (BMI) with greater risk for cardiovascular disease with disturbance in autonomic neuronal activity. Analysis of Heart rate variability (HRV)during acute mental stress assesses the autonomic status of the individual. Hence, we aimed to study the effect of acute mental stress on time domain measures in obese adults.   Materials and Methods:Sixty male volunteers of 30 each in study group (obese individuals) and control group (non-obese individuals) were recruited for the study. A basal recording of ECG in lead II was done on all the individuals. Then they underwent mental arithmetic stress task for 5 minutes during which again ECG was recorded. The change in time domain measures of HRV during rest and stress task was analyzed and compared between both the groups.   Results: Analysis of time domain measures of HRV revealed a statistically significant increase (p ? 0.001) in mean heart rate in both obese and non-obese individuals, while rMSSD(root mean square differences of successive RR interval) and SDNN (standard deviation of all NN intervals) showed a statistically significant (p? 0.001) decrease in obese individuals and non-obese individuals did not show any statistically significant change during the mental stress task.   Conclusion: In response to acute mental stress there was increased heart rate in both the groups. But the autonomic neuronal activity differed by way of sympathetic dominance in non-obese individuals and parasympathetic withdrawal in obese individuals.  

scholarly journals Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress

2021 ◽  
Vol 12 (1) ◽  
pp. 89-102
Author(s):  
Bjørn-Jostein Singstad ◽  
Naomi Azulay ◽  
Andreas Bjurstedt ◽  
Simen S. Bjørndal ◽  
Magnus F. Drageseth ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Physical Exercise ◽  
Mental Stress ◽  
Fiducial Point ◽  
Point Selection ◽  
Maximum Slope ◽  
Robust Parameter ◽  
Signal Processing Methods ◽  
Selection Of

Abstract Due to the possibilities in miniaturization and wearability, photoplethysmography (PPG) has recently gained a large interest not only for heart rate measurement, but also for estimating heart rate variability, which is derived from ECG by convention. The agreement between PPG and ECG-based HRV has been assessed in several studies, but the feasibility of PPG-based HRV estimation is still largely unknown for many conditions. In this study, we assess the feasibility of HRV estimation based on finger PPG during rest, mild physical exercise and mild mental stress. In addition, we compare different variants of signal processing methods including selection of fiducial point and outlier correction. Based on five minutes synchronous recordings of PPG and ECG from 15 healthy participants during each of these three conditions, the PPG-based HRV estimation was assessed for the SDNN and RMSSD parameters, calculated based on two different fiducial points (foot point and maximum slope), with and without outlier correction. The results show that HRV estimation based on finger PPG is feasible during rest and mild mental stress, but can give large errors during mild physical exercise. A good estimation is very dependent on outlier correction and fiducial point selection, and SDNN seems to be a more robust parameter compared to RMSSD for PPG-based HRV estimation.

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