New methods to optimally detect episodes of non-metabolic heart rate variability reduction as an indicator of psychological stress in everyday life
| Autor: | Anke Versluis, Jos F. Brosschot, Stephen B. R. E. Brown, Julian F. Thayer, Bart Verkuil |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Male
medicine.medical_specialty Time Factors Movement Emotions Disease medicine.disease_cause 050105 experimental psychology Stress level Additional HRV Reduction (complexity) 03 medical and health sciences Electrocardiography Young Adult 0302 clinical medicine Heart Rate Physiology (medical) Internal medicine medicine otorhinolaryngologic diseases Heart rate variability Psychological stress Humans 0501 psychology and cognitive sciences Everyday life Cause of death Alternative methods Communication business.industry General Neuroscience 05 social sciences virus diseases Cardiovascular disease Neuropsychology and Physiological Psychology Worry Cardiology Regression Analysis Female business 030217 neurology & neurosurgery Stress Psychological circulatory and respiratory physiology |
| Zdroj: | International Journal of Psychophysiology, 131, 30-36. ELSEVIER SCIENCE BV |
| ISSN: | 1872-7697 |
| Popis: | Cardiovascular disease is the leading cause of death in the western world. Frequent or chronic reductions in heart rate variability (HRV) are a powerful predictor of cardiovascular disease. Psychological stress has been suggested to be an important factor in the development of reduced HRV. Recently, Verkuil et al. (2016) introduced a laboratory-based method to measure additional HRV reduction in everyday life, and reductions in HRV related to psychological stress. In the current paper, we discuss alternative methods to detect additional HRV reductions, in real life data sets without the necessity of laboratory-based calibration, and even in existing data sets. All of these methods use a subset of 24 h' worth of HRV and movement data to do so: either the first 10 min of every hour, the full 24 h, a combination of 10 min from three consecutive hours, or a classification of level of movement. We also present a method to visualize HRV and movement data to be able to detect episodes of reduced additional HRV optically. The method that used the full 24 h' worth of data detected the largest percentage of episodes of reduced additional HRV that actually match with self-reported stress levels, making this method the most promising. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect