The effects of emotions on short-term power spectrum analysis of heart rate variability

McCraty, Rollin; Atkinson, M. D.; Tiller, W. A.; Rein, Glen; Watkins, Alan

doi:10.1016/s0002-9149(99)80309-9

Cited by 525 publications

(327 citation statements)

References 17 publications

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“…Pleasantness of stimuli can increase peak heart rate response [9]. In addition to the HR and HRV features, spectral features derived from HRV were shown to be a useful feature in emotion assessment [13].…”

Section: Data Processing For Peripheral Physiological Signalsmentioning

confidence: 99%

Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos

Koelstra

Yazdani

Soleymani

et al. 2010

Lecture Notes in Computer Science

177

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Abstract. Recently, the field of automatic recognition of users' affective states has gained a great deal of attention. Automatic, implicit recognition of affective states has many applications, ranging from personalized content recommendation to automatic tutoring systems. In this work, we present some promising results of our research in classification of emotions induced by watching music videos. We show robust correlations between users' self-assessments of arousal and valence and the frequency powers of their EEG activity. We present methods for single trial classification using both EEG and peripheral physiological signals. For EEG, an average (maximum) classification rate of 55.7% (67.0%) for arousal and 58.8% (76.0%) for valence was obtained. For peripheral physiological signals, the results were 58.9% (85.5%) for arousal and 54.2% (78.5%) for valence.

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Section: Data Processing For Peripheral Physiological Signalsmentioning

confidence: 99%

Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos

Koelstra

Yazdani

Soleymani

et al. 2010

Lecture Notes in Computer Science

177

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“…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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“…Indeed, psychological states may have an impact on sympathovagal balance in the absence of any palpable changes in heart and/or respiration rates in a specific condition [81][82][83].…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

How good is this food? A study on dogs' emotional responses to a potentially pleasant event using infrared thermography

Travain

Colombo

Grandi

et al. 2016

Physiology & Behavior

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Understanding how animals express positive emotions is becoming an interesting and promising area of research in the study of animal emotions and affective experiences.In the present study, we used infrared thermography in combination with behavioral measures, heart rate (HR) and heart rate variability (HRV), to investigate dogs' emotional responses to a potentially pleasant event: receiving palatable food from the owner. 2. Tail wagging could be a useful indicator of positive emotional state.3. Eye temperature can assess the arousal dimension of dogs' emotions in a positive situation.

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The effects of emotions on short-term power spectrum analysis of heart rate variability

Cited by 525 publications

References 17 publications

Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos

Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos

Study of cardiac parasympathoautonomic regulation in men of different ages

How good is this food? A study on dogs' emotional responses to a potentially pleasant event using infrared thermography

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