scholarly journals Evaluation of Mental Work Load in Vehicle Driving by Time Series Analysis of Heart Rate (2)

1993 ◽  
Vol 29 (Supplement) ◽  
pp. 406-407
Author(s):  
Bunji ATSUMI ◽  
Seiichi SUGIURA ◽  
Kenji KIMURA ◽  
Hiroshi KISHI ◽  
Masaaki NISHIWAKI
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Time Series Analysis ◽  
Work Load ◽  
Mental Work ◽  
Series Analysis ◽  
Mental Work Load

scholarly journals Evaluation of Mental Work Load in Vehicle Driving by Time Series Analysis of Heart Rate (1)

1993 ◽  
Vol 29 (Supplement) ◽  
pp. 404-405
Author(s):  
Bunji ATSUMI ◽  
Seiichi SUGIURA ◽  
Kenji KIMURA ◽  
Humihiro USHIJIMA
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Time Series Analysis ◽  
Work Load ◽  
Mental Work ◽  
Series Analysis ◽  
Mental Work Load

Evaluation of Mental Work Load in Vehicle Driving by Analysis of Heart Rate Variability

1993 ◽  
Vol 37 (9) ◽  
pp. 574-578
Author(s):  
Bunji Atsumi ◽  
Seiichi Sugiura ◽  
Kenji Kimura
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Work Load ◽  
Analysis Method ◽  
Mental Work ◽  
Sinus Arrhythmia ◽  
Dynamic Variations ◽  
Real Time Measurement ◽  
Mental Work Load ◽  
Fft Analysis

This paper discusses the mental work load index in vehicle driving and operation of various instruments by the use of the analysis method of heart rate variability. According to what has been reported previously, the heart rate (HR) and the respiratory sinus arrhythmia (RSA) is obtained by the FFT analysis of the R-R Interval. However, the calculation to obtain RSA by the FFT method has a drawback in that it is so complicated that it is impossible to detect dynamic mental variation. Therefore, we have devised a new method of calcurating RSA, which calculates the R-R variability (RRV) at each 3 beats. The method is referred to the RRV3 method. We succeeded to verify that this method enables simplified collection of RSA and real time measurement of mental work load in vehicle driving including dynamic variations.

Heart Rate Variability in Intensive Care

1998 ◽  
Vol 13 (5) ◽  
pp. 252-265 ◽  
Author(s):  
Brahm Goldstein ◽  
Timothy G. Buchman
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Intensive Care ◽  
Time Series Analysis ◽  
Fetal Distress ◽  
Heart Beat ◽  
Dynamic Interactions ◽  
Series Analysis ◽  
Injured Patients

Clinicians have long been aware that the normal oscillations in a heart beat are lost during fetal distress, during the early stages of heart failure, with advanced aging, and with critical illness and injury. However, these oscillations, or variability in heart rate and other cardiovascular signals, have largely been ignored or discounted as variances from the mean or average values. It is becoming increasingly clear that these oscillations reflect the dynamic interactions of many physiologic processes, including neuroautonomic regulation of heart rate and blood pressure. We present a synthesis and review of the current literature concerning heart rate variability with special reference to intensive care. This article describes the background of time series analysis of heart rate variability including time and frequency domain and nonlinear measurements. The implications and potential for time series analysis of variability in cardiovascular signals in clinical diagnosis and management of critically ill and injured patients are discussed.

Use of a prototype pulse oximeter for time series analysis of heart rate variability

2015 ◽  
Author(s):  
Erika González ◽  
Jehú López ◽  
Mathieu Hautefeuille ◽  
Víctor Velázquez ◽  
Jésica Del Moral
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Time Series Analysis ◽  
Pulse Oximeter ◽  
Series Analysis

scholarly journals Time Series Analysis of Heart Rate Variabililty during Mental Workload

1993 ◽  
Vol 29 (Supplement) ◽  
pp. 410-411
Author(s):  
Kiyoko YOKOYAMA ◽  
Masanori MOYOSHI ◽  
Yosaku WATANABE ◽  
Kazuyuki TAKATA
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Time Series Analysis ◽  
Mental Workload ◽  
Series Analysis

Dynamic changes in cardiac vagal tone as measured by time-series analysis

1990 ◽  
Vol 258 (3) ◽  
pp. H896-H902 ◽  
Author(s):  
G. E. Billman ◽  
J. P. Dujardin
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Time Series Analysis ◽  
Rate Control ◽  
Vagal Tone ◽  
Heart Rate Control ◽  
Dynamic Changes ◽  
Sinus Arrhythmia ◽  
Cardiac Vagal Tone ◽  
Series Analysis

A time-series analysis of heart rate variability was evaluated as a marker of cardiac vagal tone using well-characterized autonomic interventions. Heart period (R-R interval) was recorded in 14 mongrel dogs from which the amplitude of the respiratory sinus arrhythmia (0.24-1.04 Hz) was determined. Exercise elicited significant (P less than 0.01) reductions in the index of vagal tone (control 6.3 +/- 0.3 ln ms2 vs. exercise 2.4 +/- 0.4 ln ms2) that were accompanied by significant (P less than 0.01) increases in heart rate (control 123.1 +/- 5 vs. exercise 201.0 +/- 7.7 beats/min). The vagal tone index remained greater than 0 throughout exercise. After propranolol HCl pretreatment, the vagal tone index rapidly decreased toward zero (control 6.2 +/- 0.5; exercise 0.7 +/- 0.3 ln ms2), despite significantly lower increases in heart rate (control 109.3 +/- 4.2; exercise 178.0 +/- 7.6 beats/min). Atropine given during exercise evoked significantly greater increases in heart rate in the control (+48.7 +/- 7.9 beats/min) vs. propranolol (+14.2 +/- 6.7 beats/min) conditions. These data suggest that 1) high levels of cardiac vagal tone remain during exercise; 2) vagal withdrawal is largely responsible for the heart rate increase after beta-adrenergic receptor blockade; and 3) time-series analysis of the R-R interval can provide a dynamic and noninvasive index of cardiac vagal tone.

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