Mental workload classification using heart rate metrics

Henelius, Andreas; Hirvonen, Kati; Holm, Anu; Korpela, Jussi; Müller, Kiti

doi:10.1109/iembs.2009.5332602

Cited by 55 publications

(41 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The underlying mechanism may be due to increased sympathetic activation or the subjects’ pattern of breathing (Althaus et al, 1998). In other studies, apart from a strong inverse relationship between mental effort and HRV power, mean RR interval appears to be the most sensitive measure (Capa et al, 2008; De Rivecourt et al, 2008; Henelius et al, 2009; Weippert et al, 2009). …”

Section: Introductionmentioning

confidence: 76%

“…Mean HR, which can be easily recorded in a study (i.e., HR= 60/RRI), has previously been demonstrated to be more reproducible than spectral power estimates during incremental head-up tilt (Bootsma et al, 1996). Time domain metrics of RRI were also found to be the most sensitive measure of HRV in cognitive function tasks (Henelius, et al, 2009). Hence, cognitive functional changes associated with mental effort task likely represents a different autonomic profile than cardiovascular disorders, in which PSD and non-linear analysis can provide much more information than only HR (Akselrod et al, 1981; Stein et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity to mental effort and test???retest reliability of heart rate variability measures in healthy seniors

Mukherjee¹,

Yadav²,

Yung³

et al. 2011

Clinical Neurophysiology

View full text Add to dashboard Cite

Objectives To determine 1) whether heart rate variability (HRV) was a sensitive and reliable measure in mental effort tasks carried out by healthy seniors and 2) whether non-linear approaches to HRV analysis, in addition to traditional time and frequency domain approaches were useful to study such effects. Methods Forty healthy seniors performed two visual working memory tasks requiring different levels of mental effort, while ECG was recorded. They underwent the same tasks and recordings two weeks later. Traditional and 13 non-linear indices of HRV including Poincaré, entropy and detrended fluctuation analysis (DFA) were determined. Results Time domain (especially mean R-R interval/RRI), frequency domain and, among nonlinear parameters- Poincaré and DFA were the most reliable indices. Mean RRI, time domain and Poincaré were also the most sensitive to different mental effort task loads and had the largest effect size. Conclusions Overall, linear measures were the most sensitive and reliable indices to mental effort. In non-linear measures, Poincaré was the most reliable and sensitive, suggesting possible usefulness as an independent marker in cognitive function tasks in healthy seniors. Significance A large number of HRV parameters was both reliable as well as sensitive indices of mental effort, although the simple linear methods were the most sensitive.

show abstract

Section: Introductionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Sensitivity to mental effort and test???retest reliability of heart rate variability measures in healthy seniors

Mukherjee¹,

Yadav²,

Yung³

et al. 2011

Clinical Neurophysiology

View full text Add to dashboard Cite

show abstract

“…Students were given a brief lecture describing the average interbeat interval (IBI; also R-R interval) when a patient is in sinus rhythm. Students were instructed that the IBI commonly decreases under periods of stress, high emotionality, or mental workload ( Henelius, Hirvonen, Holm, Korpela, & Muller, 2009 ).…”

Section: An Experimental Variation: Combining Physiological Measures mentioning

confidence: 99%

Using the Labyrinth as a Teaching Tool in Psychology

Baskin¹,

Cushing²,

Abramson

2012

Comprehensive Psychology

View full text Add to dashboard Cite

This article describes the use of the labyrinth for inquiry-based, hands-on activities suitable for a variety of psychology courses including learning, physiological psychology, clinical child psychology, and history of psychology. Two classroom examples that focus on psychology of learning and psychophysiology are presented. In general, students appeared to enjoy and learn from the labyrinth task. We see the labyrinth as a helpful base upon which instructors can build a set of activities to experientially communicate psychological concepts to students.

show abstract

“…The less invasive methods (such as heart rate or skin conductivity) tend to be fine-tailored to specific tasks (consider e.g. [8] or [9]), and are difficult to apply to real world activities, in which the biological signs of cognitive load are affected by noise from physical workload and emotions [10]. • Self-reported: Standardized tests are used, such as NASA-TLX [11] or RSME [12].…”

Section: B Measuring Cognitive Loadmentioning

confidence: 99%

Real time modeling of the cognitive load of an Urban Search And Rescue robot operator

Colin

Smets²,

Mioch³

et al. 2014

The 23rd IEEE International Symposium on Robot and Human Interactive Communication

View full text Add to dashboard Cite

Urban Search And Rescue (USAR) robots are used to find and save victims in the wake of disasters such as earthquakes or terrorist attacks. The operators of these robots are affected by high cognitive load; this hinders effective robot usage. This paper presents a cognitive task load model for real-time monitoring and, subsequently, balancing of workload on three factors that affect operator performance and mental effort: time occupied, level of information processing, and number of task switches. To test an implementation of the model, five participants drove a shape-shifting USAR robot, accumulating over 16 hours of driving time in the course of 485 USAR missions with varying objectives and difficulty. An accuracy of 69% was obtained for discrimination between low and high cognitive load; higher accuracy was measured for discrimination between extreme cognitive loads. This demonstrates that such a model can contribute, in a non-invasive manner, to estimating an operator's cognitive state. Several ways to further improve accuracy are discussed, based on additional experimental results.

show abstract

Mental workload classification using heart rate metrics

Cited by 55 publications

References 12 publications

Sensitivity to mental effort and test???retest reliability of heart rate variability measures in healthy seniors

Sensitivity to mental effort and test???retest reliability of heart rate variability measures in healthy seniors

Using the Labyrinth as a Teaching Tool in Psychology

Real time modeling of the cognitive load of an Urban Search And Rescue robot operator

Contact Info

Product

Resources

About