Going Beyond Heart Rate: Autonomic Space and Cardiovascular Assessment of Mental Workload

1995 ◽  
Vol 5 (1) ◽  
pp. 25-48 ◽  
Author(s):  
Richard W. Backs
Keyword(s):  
Heart Rate ◽  
Mental Workload ◽  
Cardiovascular Assessment ◽  
Autonomic Space

scholarly journals Telemetry System Utilization for Stress Monitoring of Pilots During Training

2016 ◽  
Vol 4 (20) ◽  
pp. 33
Author(s):  
Luboš Socha ◽  
Lenka Hanáková ◽  
Vladimír Socha ◽  
Andrej Lališ ◽  
Róbert Rozenberg ◽  
...  
Keyword(s):  
Heart Rate ◽  
Mental Workload ◽  
Heart Beat ◽  
Mental Wellbeing ◽  
Telemetry System ◽  
Stress Monitoring ◽  
System Utilization ◽  
Glass Cockpit ◽  
Heart Beat Rate ◽  
Excessive Stress

Air transport development brings an increased focus on the safety of piloting. The safety conditions can be assessed by mental workload. Psychic discomfort or excessive stress on pilots can negatively influence the course of flights. Therefore it appears convenient to monitor such parameters, which represent the mental wellbeing, or discomfort of a pilot. Since physiological measurements can provide a good information about mental workload or stress, this work primarily focuses on the observation of the change in heart rate, as it is an indicator of stress during the training of pilots, using the designed modular telemetry system. Another aim of this study is to evaluate the influence of a change in the avionic data visualization. This can have an unfavorable effect on the piloting of an airplane. This work, based on the evaluation of heart rate shows, that the switch from analog visualization to glass cockpit creates increased levels of stress in pilots, which was proved for all examined subjects except one. Significant level of correlation in the heart beat rate change in subjects in the course of training was also discovered.

scholarly journals Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task

2017 ◽  
pp. 69-72 ◽  
Author(s):  
Rossana Castaldo ◽  
Luis Montesinos ◽  
Tim S. Wan ◽  
Andra Serban ◽  
Sebastiano Massaro ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Heart Rate Variability Analysis ◽  
Variability Analysis ◽  
And Performance

Cardiovascular assessment by imaging photoplethysmography – a review

2018 ◽  
Vol 63 (5) ◽  
pp. 617-634 ◽  
Author(s):  
Sebastian Zaunseder ◽  
Alexander Trumpp ◽  
Daniel Wedekind ◽  
Hagen Malberg
Keyword(s):  
Heart Rate ◽  
Widespread Application ◽  
Cardiovascular Parameters ◽  
Current State ◽  
Cardiovascular Assessment

AbstractOver the last few years, the contactless acquisition of cardiovascular parameters using cameras has gained immense attention. The technique provides an optical means to acquire cardiovascular information in a very convenient way. This review provides an overview on the technique’s background and current realizations. Besides giving detailed information on the most widespread application of the technique, namely the contactless acquisition of heart rate, we outline further concepts and we critically discuss the current state.

Combined Time-Frequency Calculation of pNN50 Metric From Noisy Heart Rate Measurements

2014 ◽  
Author(s):  
Payam Parsinejad ◽  
Yolanda Rodriguez-Vaqueiro ◽  
Jose Angel Martinez-Lorenzo ◽  
Rifat Sipahi
Keyword(s):  
Heart Rate ◽  
Mental Workload ◽  
Human Subjects ◽  
Detection Algorithm ◽  
Frequency Domain Analysis ◽  
Peak Detection ◽  
Time Frequency ◽  
Peak Detection Algorithm ◽  
Frequency Calculation ◽  
Noticeable Improvement

pNN50 is a metric derived from heart rate (HR) measurements, and it is known to correlate with mental-workload changes in human subjects. Conventionally, this metric is calculated based on the variability of successive time periods in peak-to-peak occurrences in HR data. In the case of noisy measurements of HR, however, peak-to-peak detection may not be reliable. Here, we present a combined time-frequency domain analysis, benefiting from Short Time Fourier Transform, by which we can more accurately extract pNN50 metric from noisy HR data. An experimental measurement with added noise is used as a benchmark problem to demonstrate the effectiveness of the approach with noticeable improvement over the conventional time domain peak-to-peak detection algorithm.

The Influence of Monochronic/Polychronic Time Orientation on Temporal Demand and Subjective Mental Workload

2019 ◽  
Vol 7 (3) ◽  
pp. 243-253
Author(s):  
Ari Widyanti ◽  
Dewi Regamalela
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Time Orientation ◽  
Individual Factors ◽  
Individual Factor ◽  
Comparable Performance ◽  
Nasa Tlx ◽  
Study Participants ◽  
Higher Sensitivity

The sensitivity of mental workload measures is influenced by cultural and individual factors. One individual factor that is hypothesized to influence mental workload is time orientation. The aim of this study is to observe the influence of time orientation on temporal demand and subjective mental workload. One hundred and two participants representing three different time orientations, namely monochronic, neutral, and polychronic orientations, assessed using the Modified Polychronic Attitude Index 3 (MPAI3), voluntarily participated in this study. Participants were instructed to complete a search and count task in four different conditions with varying degrees of difficulty. Mental workload was assessed using subjective (NASA-TLX) and objective (heart rate variability, or HRV) methods and analyzed for each condition. The results show that, with comparable performance and comparable HRV, monochronic participants show higher sensitivity than neutral or polychronic participants in subjective mental workload, particularly the temporal demand dimension. The implications are discussed.

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