Using Heart Rate Monitors to Detect Mental Stress

Choi, Junho; Gutierrez‐Osuna, Ricardo

doi:10.1109/bsn.2009.13

Cited by 126 publications

(76 citation statements)

References 19 publications

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“…Based on the Table I, most of the studies were adopted mental arithmetic task as a mental stress inducer. This method is commonly used in psychology studies to induce mental stress in human [3]- [7]. Furthermore, other technique such as driving simulator has been adapted to study the changes in brain dynamics of stress and fatigue [8], [9].…”

Section: Related Workmentioning

confidence: 99%

The Assessment of Developed Mental Stress Elicitation Protocol Based on Heart Rate and EEG Signals

Saidatul¹,

Pandiyan²,

Yaacob³

2015

IJCTE

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Abstract-Nowadays, stress is one of the major issues where too much stress may lead to the depression, fatigue and insomnia. Stress can be divided into two types called Eustress and Distress. However, Distress is highly focuses research field due to the harm affect to the body system. The aim of this study is to assess the developed mental stress elicitation protocol via the physiological changes in heart rate and brain activity. It is well known that mental stress may influences the heart rate and the Electroencephalography (EEG) signal. EEG signal contains information that represents the brain state and other neurological disease. A new developed mental stress elicitation experimental protocol is proposed to trigger the mental stress via Mental Arithmetic Task (MAT). Some modifications of the existing MAT have been made improve the ability of new protocol in order to ensure the targeted level of stress is properly induced. MAT which is on dynamical excitation concept and time pressure are the two combination of stressor which were introduced in this study. EEG signal processing such as preprocessing, feature extraction and classification were employed to extract and classified the mental stress features. In order to verify the ability of proposed mental stress elicitation protocol to induce properly as targeted level, three validation methods i.e statistical analysis (paired t-test), k-nearest neighbors (kNN) and Alpha Brain Asymmetry Score were adapted. Based on the results from these three validation methods, it was found that the proposed mental stress elicitation protocol is comparable to be used for further mental stress study.Index Terms-Electroencephalography (EEG), heart rate mental stress, mental arithmetic task (MAT).

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Section: Related Workmentioning

confidence: 99%

The Assessment of Developed Mental Stress Elicitation Protocol Based on Heart Rate and EEG Signals

Saidatul¹,

Pandiyan²,

Yaacob³

2015

IJCTE

View full text Add to dashboard Cite

show abstract

“…For instance (Choi and Gutierrez-Osuna, 2009) demonstrated the effectiveness of heart rate monitors in detecting mental stress. They highlighted the importance of an unobtrusive design to obtain high user acceptance rates.…”

Section: Related Workmentioning

confidence: 99%

Fine-Grained Prediction of Cognitive Workload in a Modern Working Environment by Utilizing Short-Term Physiological Parameters

Hörmann

Hesse

Christ

et al. 2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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Abstract:In this paper we present a method to predict cognitive workload during the interaction with a tablet computer.To set up a predictor that estimates the reflected self-reported cognitive workload we analyzed the information gain of heart rate, electrodermal activity and user input (touch) based features. From the derived optimal feature set we present a Gaussian Process based learner that enables fine-grained and short term detection of cognitive workload. Average inter-subject accuracy in 10-fold cross validation is 74.1 % for the fine-grained 5-class problem and 96.0 % for the binary class problem.

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“…On the other hand, Heart Rate (HR) measures the number of heartbeats per unit of time. HR can be obtained at any place on the human body, being an accessible parameter to be easily acquired Choi & Gutierrez-Osuna (2009);Jovanov et al (2003). HR describes the heart activity when the Autonomic Nervous System (ANS) attempts to tackle with the human body demands depending on the stimuli received Picard & Healey (2000).…”

Section: Physiological Signalsmentioning

confidence: 99%