Perceived Mental Stress and Reactions in Heart Rate Variability—A Pilot Study Among Employees of an Electronics Company

Orsila, Reetta; Virtanen, Matti; Luukkaala, Tiina; Tarvainen, Mika P.; Karjalainen, Pasi A.; Viik, Jari; Savinainen, Minna; Nygård, Clas‐Håkan

doi:10.1080/10803548.2008.11076767

Cited by 107 publications

(74 citation statements)

References 27 publications

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“…Hjortskov et al showed that subjective mental stress in computer work is related to changes in HRV between rest and work periods [13]. Orsila et al showed that the level of mental stress in occupational work has a negative correlation with certain HRV features, i.e., triangular interpolation of rhythm-to-rhythm (RR) interval histogram (TINN) and RMSSD [14]. Bailon et al proposed a method for estimating mental stress during exercise using HRV and respiration features [15].…”

Section: Introductionmentioning

confidence: 99%

Predicting Changes in Cognitive Performance Using Heart Rate Variability

Tsunoda

Chibá

Yoshida

et al. 2017

IEICE Trans. Inf. & Syst.

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SUMMARY In this paper, we propose a low-invasive framework to predict changes in cognitive performance using only heart rate variability (HRV). Although a lot of studies have tried to estimate cognitive performance using multiple vital data or electroencephalogram data, these methods are invasive for users because they force users to attach a lot of sensor units or electrodes to their bodies. To address this problem, we proposed a method to estimate cognitive performance using only HRV, which can be measured with as few as two electrodes. However, this can't prevent loss of worker productivity because the workers' productivity had already decreased even if their current cognitive performance had been estimated as being at a low level. In this paper, we propose a framework to predict changes in cognitive performance in the near future. We obtained three principal contributions in this paper: (1) An experiment with 45 healthy male participants clarified that changes in cognitive performance caused by mental workload can be predicted using only HRV. (2) The proposed framework, which includes a support vector machine and principal component analysis, predicts changes in cognitive performance caused by mental workload with 84.4 % accuracy. (3) Significant differences were found in some HRV features for test participants, depending on whether or not their cognitive performance changes had been predicted accurately. These results lead us to conclude that the framework has the potential to help both workers and managerial personnel predict what their performances will be in the near future. This will make it possible to proactively suggest rest periods or changes in work duties to prevent losses in productivity caused by decreases of cognitive work performance.

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Section: Introductionmentioning

confidence: 99%

Predicting Changes in Cognitive Performance Using Heart Rate Variability

Tsunoda

Chibá

Yoshida

et al. 2017

IEICE Trans. Inf. & Syst.

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“…Directly or indirectly stress is linked to work related illness [20]. Precisely this reflects in diurnal variation of HRV (21).HRV shows wide variation in normal populations, as autonomic outflows are labile not constant. Age, emotion, time of day, posture all influence HRV [22][23][24][25].…”

Section: Discussionmentioning

confidence: 99%

Study of cardiac parasympathoautonomic regulation in men of different ages

Pandey

2016

Int J of Biomed & Adv Res

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Objective: Cardiovagal autonomic control is protective physiological mechanism that associates cardiorespiratory fitness. Its evaluation with non-invasive simple means has important role in clinical neurophysiology for application in medical preventive and promotive care. Cardiovagal regulatory function was evaluated among overtly healthy adult male workers of youth to elderly age, using simple non-invasive electrophysiological tests. Methods: Based on specific selection criteria 52 males in 23-67 year age were administered deep breathing induced heart rate variability (HRV) and standing induced heart rate response tests of cardiovagal function. Electrocardiography was sole technical resource with manual observations and calculations. Results: The statistically significant observations were mostly precluded due to limited size of the studied sample .However, increasing age even in studied range indicated progressive decline in cardiovagal control in both deep breathing HRV and standing 30:15 heart rate response tests Conclusion: Declines of small magnitude in cardiovagal regulation at rest in supine posture may prove costly upon exercise situation when sympathetic outflow overtakes cardiovascular function. Exercise training and measures as Yoga that boost vagal tone acquire greater significance in aging adults who may have to occasionally take up physically strenuas tasks.

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“…[7,29,39]). It correlates well with salivary measurements of cortisol and alpha-amylase as has been shown in [22].…”

Section: Physiological Indicators For Stressmentioning

confidence: 99%

Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters

Reimer¹,

Laurenzi²,

Maier³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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The paper describes a mobile solution for the early recognition and management of stress based on continuous monitoring of heart rate variability (HRV) and contextual data (activity, location, etc.). A central contribution is the automatic calibration of measured HRV values to perceived stress levels during an initial learning phase where the user provides feedback when prompted by the system. This is crucial as HRV varies greatly among people. A data mining component identifies recurrent stress situations so that people can develop appropriate stress avoidance and coping strategies. A biofeedback component based on breathing exercises helps users relax. The solution is being tested by healthy volunteers before conducting a clinical study with patients after alcohol detoxification.

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Perceived Mental Stress and Reactions in Heart Rate Variability—A Pilot Study Among Employees of an Electronics Company

Cited by 107 publications

References 27 publications

Predicting Changes in Cognitive Performance Using Heart Rate Variability

Predicting Changes in Cognitive Performance Using Heart Rate Variability

Study of cardiac parasympathoautonomic regulation in men of different ages

Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters

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