Quantifying acute stress with heart rate variability (HRV) and electrodermal activity (EDA) in real world conditions

2016 ◽  
Vol 108 ◽  
pp. 73-74 ◽  
Author(s):  
Satu A. Pakarinen ◽  
Jussi Korpela ◽  
Jari Torniainen
2021 ◽  
pp. 019394592110289
Author(s):  
Madison P. Goodyke ◽  
Patricia E. Hershberger ◽  
Ulf G. Bronas ◽  
Susan L. Dunn

The purpose of this integrative review is to explore and synthesize literature about the relationship between perceived social support and cardiac vagal modulation, measured by heart rate variability (HRV), during phases of an acute stress response to assess this potential relationship underlying the stress-buffering effects of perceived social support. A systematic search of seven databases was conducted, including MEDLINE, CINAHL, PsychINFO, Embase, ProQuest, medRxiv, and clinicaltrials.gov. Eight studies met the inclusion criteria and were systematically synthesized. A quality appraisal was completed for each included study. Majority of studies focused on time and frequency domain measures of HRV thought to reflect parasympathetic modulation of heart rate and identified them as positively associated with perceived social support during rest, stress induction, and recovery from an acute stressor. Results highlight the importance for nurses and other health care professionals to assess patients’ perceived social support, as increased perceived social support may contribute to an adaptive stress response.


Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3461
Author(s):  
Blake Anthony Hickey ◽  
Taryn Chalmers ◽  
Phillip Newton ◽  
Chin-Teng Lin ◽  
David Sibbritt ◽  
...  

Recently, there has been an increase in the production of devices to monitor mental health and stress as means for expediting detection, and subsequent management of these conditions. The objective of this review is to identify and critically appraise the most recent smart devices and wearable technologies used to identify depression, anxiety, and stress, and the physiological process(es) linked to their detection. The MEDLINE, CINAHL, Cochrane Central, and PsycINFO databases were used to identify studies which utilised smart devices and wearable technologies to detect or monitor anxiety, depression, or stress. The included articles that assessed stress and anxiety unanimously used heart rate variability (HRV) parameters for detection of anxiety and stress, with the latter better detected by HRV and electroencephalogram (EGG) together. Electrodermal activity was used in recent studies, with high accuracy for stress detection; however, with questionable reliability. Depression was found to be largely detected using specific EEG signatures; however, devices detecting depression using EEG are not currently available on the market. This systematic review highlights that average heart rate used by many commercially available smart devices is not as accurate in the detection of stress and anxiety compared with heart rate variability, electrodermal activity, and possibly respiratory rate.


2021 ◽  
Vol 3 ◽  
Author(s):  
Syem Ishaque ◽  
Naimul Khan ◽  
Sri Krishnan

Heart rate variability (HRV) is the rate of variability between each heartbeat with respect to time. It is used to analyse the Autonomic Nervous System (ANS), a control system used to modulate the body's unconscious action such as cardiac function, respiration, digestion, blood pressure, urination, and dilation/constriction of the pupil. This review article presents a summary and analysis of various research works that analyzed HRV associated with morbidity, pain, drowsiness, stress and exercise through signal processing and machine learning methods. The points of emphasis with regards to HRV research as well as the gaps associated with processes which can be improved to enhance the quality of the research have been discussed meticulously. Restricting the physiological signals to Electrocardiogram (ECG), Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) analysis resulted in 25 articles which examined the cause and effect of increased/reduced HRV. Reduced HRV was generally associated with increased morbidity and stress. High HRV normally indicated good health, and in some instances, it could signify clinical events of interest such as drowsiness. Effective analysis of HRV during ambulatory and motion situations such as exercise, video gaming, and driving could have a significant impact toward improving social well-being. Detection of HRV in motion is far from perfect, situations involving exercise or driving reported accuracy as high as 85% and as low as 59%. HRV detection in motion can be improved further by harnessing the advancements in machine learning techniques.


2020 ◽  
Author(s):  
Sandya Subramanian ◽  
Patrick L. Purdon ◽  
Riccardo Barbieri ◽  
Emery N. Brown

ABSTRACTDuring general anesthesia, both behavioral and autonomic changes are caused by the administration of anesthetics such as propofol. Propofol produces unconsciousness by creating highly structured oscillations in brain circuits. The anesthetic also has autonomic effects due to its actions as a vasodilator and myocardial depressant. Understanding how autonomic dynamics change in relation to propofol-induced unconsciousness is an important scientific and clinical question since anesthesiologists often infer changes in level of unconsciousness from changes in autonomic dynamics. Therefore, we present a framework combining physiology-based statistical models that have been developed specifically for heart rate variability and electrodermal activity with a robust statistical tool to compare behavioral and multimodal autonomic changes before, during, and after propofol-induced unconsciousness. We tested this framework on physiological data recorded from nine healthy volunteers during computer-controlled administration of propofol. We studied how autonomic dynamics related to behavioral markers of unconsciousness: 1) overall, 2) during the transitions of loss and recovery of consciousness, and 3) before and after anesthesia as a whole. Our results show a strong relationship between behavioral state of consciousness and autonomic dynamics. All of our prediction models showed areas under the curve greater than 0.75 despite the presence of non-monotonic relationships among the variables during the transition periods. Our analysis highlighted the specific roles played by fast versus slow changes, parasympathetic vs sympathetic activity, heart rate variability vs electrodermal activity, and even pulse rate vs pulse amplitude information within electrodermal activity. Further advancement upon this work can quantify the complex and subject-specific relationship between behavioral changes and autonomic dynamics before, during, and after anesthesia. However, this work demonstrates the potential of a multimodal, physiologically-informed, statistical approach to characterize autonomic dynamics.


2018 ◽  
Vol 72 (4) ◽  
pp. S17
Author(s):  
J.M. Mefford ◽  
S. Kahle-Kuipers ◽  
S. Gupta ◽  
P.R. Goldin ◽  
A.R. Danielson ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Conrad Spellenberg ◽  
Peter Heusser ◽  
Arndt Büssing ◽  
Andreas Savelsbergh ◽  
Dirk Cysarz

Abstract Psychological stress may have harmful physiological effects and result in deteriorating health. Acute psychological stress acts also on cardiac autonomic regulation and may lead to nonstationarities in the interbeat interval series. We address the requirement of stationary RR interval series to calculate frequency domain parameters of heart rate variability (HRV) and use binary symbolic dynamics derived from RR interval differences to overcome this obstacle. 24 healthy subjects (12 female, 20–35 years) completed the following procedure: waiting period, Trier Social Stress Test to induce acute psychological stress, recovery period. An electrocardiogram was recorded throughout the procedure and HRV parameters were calculated for nine 5-min periods. Nonstationarities in RR interval series were present in all periods. During acute stress the average RR interval and SDNN decreased compared to rest before and after the stress test. Neither low frequency oscillations (LF), high frequency oscillations (HF) nor LF/HF could unambiguously reflect changes during acute stress in comparison to rest. Pattern categories derived from binary symbolic dynamics clearly identified acute stress and accompanying alterations of cardiac autonomic regulation. Methods based on RR interval differences like binary symbolic dynamics should be preferred to overcome issues related to nonstationarities.


2020 ◽  
Vol 14 ◽  
Author(s):  
Tara Chand ◽  
Meng Li ◽  
Hamidreza Jamalabadi ◽  
Gerd Wagner ◽  
Anton Lord ◽  
...  

2010 ◽  
Vol 42 (3) ◽  
pp. 443-448 ◽  
Author(s):  
SILKE BOETTGER ◽  
CHRISTIAN PUTA ◽  
VIKRAM K. YERAGANI ◽  
LARS DONATH ◽  
HANS-JOSEF MÜLLER ◽  
...  

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 20-20
Author(s):  
Vita Dikariyanto ◽  
Leanne Smith ◽  
May Robertson ◽  
Eslem Kusaslan ◽  
Molly O'Callaghan-Latham ◽  
...  

Abstract Objectives Stress is inversely associated with heart rate variability (HRV), an indicator of cardiac autonomic function and a predictor of risk of sudden cardiac death. At times of stress, people tend to favor high sugar and fatty foods, often as snacks, with potential adverse effects on cardiometabolic health. Dietary recommendations for cardiovascular disease (CVD) prevention emphasize fruits, vegetables, wholegrains and nuts. There is evidence that consumption of nuts can reduce LDL cholesterol and blood pressure and help with weight management, however the impact of nuts on HRV in response to stress is unknown. The ATTIS dietary intervention study investigated the HRV response to acute stress following 6-week substitution of almonds for typical snacks high in refined starch, free sugars and saturated fats, and low in fibre. The study population comprised adults aged 30–70 y, who were habitual snack consumers, and at moderate risk of developing CVD. It was hypothesized that snacking on almonds would increase HRV during stress tasks, when HRV is expected to be reduced due to increased sympathetic activity. Methods A 6-week randomized controlled parallel trial was conducted. Participants were randomized to 1) control snacks (mini-muffins formulated to follow the average UK snack nutrient profile), or 2) dry-roasted whole almonds, both providing 20% estimated energy requirement. Supine HRV was measured (Mega Electronics Emotion Faros 180°, 2-leads wearable ECG-HRV monitor) during resting (5 min), physical stress (blood pressure monitor cuff inflation 200 mmHg, 5 min) and mental stress (Stroop colour-word test, 5 min) tasks pre- and post-intervention. A total of 105 participants (73 females and 32 males; mean age 56.2 y, SD 10.4) completed the trial. Results Almonds significantly increased the beat-to-beat HRV parameter, high-frequency power, during the mental stress test (mean difference 124 ms2; 95% CI 11, 237; P = 0.031) relative to control, indicating increased parasympathetic regulation. There were no treatment effects during resting and the physical stress task. Conclusions Snacking on whole almonds as a replacement for typical snacks increases HRV during mental stress, indicating an increased resilience in cardiac autonomic function and a novel mechanism whereby nuts may be cardioprotective. Funding Sources Almond Board of California.


Author(s):  
Kathryn E. Speer ◽  
Stuart Semple ◽  
Nenad Naumovski ◽  
Andrew J. McKune

Heart rate variability (HRV) is an accepted method for determining autonomic nervous system activity and cardiovascular risk in various populations. This study assessed the validity and reliability of a commercially available finger photoplethysmography (PPG) system for measuring pediatric HRV in a real-world setting. Sixteen healthy children (4.06 ± 0.58 years) were recruited. The PPG system was compared to the Polar H10 heart rate (HR) sensor validated against ECG (gold standard) for HRV measurement. Seated short-term resting R-R intervals were recorded simultaneously using both systems. Recordings were performed on 3 days at the participants’ school. Paired t-tests, effect sizes and Bland–Altman analyses determined the validity of the PPG system. The relative and absolute reliability of both systems were calculated. No HRV parameters were valid for the PPG system. Polar H10 yielded moderate (0.50–0.75) to good (0.75–0.90) relative reliability with R-R intervals and the standard deviation of instantaneous and continuous R-R variability ratio showing the best results (ICCs = 0.84). Polar H10 displayed better absolute reliability with the root mean square of successive differences, R-R intervals and HR showing the lowest values (TEM% < 12%). The use of the Polar H10 and not the PPG system is encouraged for HRV measurement of young children in an educational real-world setting.


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