Personal optimization method to estimate mood using heart rate variability in daily life: Mood estimation using heart rate variability

2012 ◽  
Author(s):  
Kohzoh Yoshino ◽  
Katsunori Matsuoka
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Daily Life ◽  
Optimization Method

Aging and spectral characteristics of the nonharmonic component of 24-h heart rate variability

1999 ◽  
Vol 276 (6) ◽  
pp. R1724-R1731 ◽  
Author(s):  
Seiichiro Sakata ◽  
Junichiro Hayano ◽  
Seiji Mukai ◽  
Akiyoshi Okada ◽  
Takao Fujinami
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Power Law ◽  
Daily Life ◽  
Spectral Characteristics ◽  
Normal Subjects ◽  
Break Point ◽  
Total Power ◽  
Interindividual Difference ◽  
Analysis Of Dynamics

To examine whether heart rate variability (HRV) during daily life shows power law behavior independently of age and interindividual difference in the total power, log-log scaled coarse-graining spectra of the nonharmonic component of 24-h HRV were studied in 62 healthy men (age 21–79 yr). The spectra declined with increasing frequency in all subjects, but they appeared as broken lines slightly bending downward, particularly in young subjects with a large total power. Regression of the spectrum by a broken line with a single break point revealed that the spectral exponent (β) was greater in the region below than above the break point (1.63 ± 0.23 vs. 0.96 ± 0.21, P < 0.001). The break point frequency increased with age ( r = 0.51, P < 0.001) and β correlated with age negatively below the break point ( r = 0.39) and positively above the break point ( r = 0.70). The contribution to interindividual difference in total power was greater from the differences in the power spectral density at frequencies closer to both ends of the frequency axis and minimal from that at −3.25 log(Hz), suggesting hingelike movement of the spectral shape at this frequency with the difference in total power. These characteristics of the 24-h HRV spectrum were simulated by an artificial signal generated by adding two noises with different β values. Given that the power law assumption is fundamental to the analysis of dynamics through the log-log scaled spectrum, our observations are substantial for physiological and clinical studies of the heartbeat dynamic during daily life and suggest that the nonharmonic component of HRV in normal subjects during daily life may include at least two 1/ f β fluctuations that differ in dynamics and age dependency.

Personal Adaptive Method to Assess Mental Tension during Daily Life Using Heart Rate Variability

2012 ◽  
Vol 51 (01) ◽  
pp. 39-44 ◽  
Author(s):  
K. Matsuoka ◽  
K. Yoshino
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Test Data ◽  
Daily Life ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Training Data ◽  
Data Set

SummaryObjectives: The aim of this study is to present a method of assessing psychological tension that is optimized to every individual on the basis of the heart rate variability (HRV) data which, to eliminate the influence of the inter-individual variability, are measured in a long time period during daily life.Methods: HRV and body accelerations were recorded from nine normal subjects for two months of normal daily life. Fourteen HRV indices were calculated with the HRV data at 512 seconds prior to the time of every mental tension level report. Data to be analyzed were limited to those with body accelerations of 30 mG (0.294 m/s2) and lower. Further, the differences from the reference values in the same time zone were calculated with both the mental tension score (Δtension) and HRV index values (ΔHRVI). The multiple linear regression model that estimates Δtension from the scores for principal components of ΔHRVI were then constructed for each individual. The data were divided into training data set and test data set in accordance with the twofold cross validation method. Multiple linear regression coefficients were determined using the training data set, and with the optimized model its generalization capability was checked using the test data set.Results: The subjects’ mean Pearson correlation coefficient was 0.52 with the training data set and 0.40 with the test data set. The subjects’ mean coefficient of determination was 0.28 with the training data set and 0.11 with the test data set.Conclusion: We proposed a method of assessing psychological tension that is optimized to every individual based on HRV data measured over a long period of daily life.

scholarly journals Altered fractal behavior and heart rate variability in daily life in neurally mediated syncope

2002 ◽  
Vol 39 ◽  
pp. 101
Author(s):  
Bonpei Takase ◽  
Haruhiko Hosaka ◽  
Yoshihiro Matsushima ◽  
Takashi Akima ◽  
Syuuichi Katsushika ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Daily Life ◽  
Neurally Mediated Syncope

scholarly journals Prolonged Non-metabolic Heart Rate Variability Reduction as a Physiological Marker of Psychological Stress in Daily Life

2016 ◽  
Vol 50 (5) ◽  
pp. 704-714 ◽  
Author(s):  
Bart Verkuil ◽  
Jos F. Brosschot ◽  
Marieke S. Tollenaar ◽  
Richard D. Lane ◽  
Julian F. Thayer
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Psychological Stress ◽  
Daily Life

When rumination counts: Perceived social support and heart rate variability in daily life

2016 ◽  
Vol 53 (7) ◽  
pp. 1034-1043 ◽  
Author(s):  
Ann Kathrin S. Gerteis ◽  
Andreas R. Schwerdtfeger
Keyword(s):  
Social Support ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Perceived Social Support ◽  
Daily Life

scholarly journals Complexity-Based Decoding of the Coupling Among Heart Rate Variability (HRV) and Walking Path

2020 ◽  
Vol 11 ◽  
Author(s):  
Shahul Mujib Kamal ◽  
Mohammad Hossein Babini ◽  
Ondrej Krejcar ◽  
Hamidreza Namazi
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Fractal Dimension ◽  
Daily Life ◽  
Fractal Theory ◽  
Sample Entropy ◽  
Physiological Signals ◽  
Everyday Activity ◽  
First Time

Walking is an everyday activity in our daily life. Because walking affects heart rate variability, in this research, for the first time, we analyzed the coupling among the alterations of the complexity of walking paths and heart rate. We benefited from the fractal theory and sample entropy to evaluate the influence of the complexity of paths on the complexity of heart rate variability (HRV) during walking. We calculated the fractal exponent and sample entropy of the R-R time series for nine participants who walked on four paths with various complexities. The findings showed a strong coupling among the alterations of fractal dimension (an indicator of complexity) of HRV and the walking paths. Besides, the result of the analysis of sample entropy also verified the obtained results from the fractal analysis. In further studies, we can analyze the coupling among the alterations of the complexities of other physiological signals and walking paths.

Heart rate variability in myocardial ischemia during daily life

1997 ◽  
Vol 30 (1) ◽  
pp. 45-56 ◽  
Author(s):  
K. Sroka ◽  
C.-J. Peimann ◽  
H. Seevers
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Myocardial Ischemia ◽  
Daily Life
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