Influence of Mental Stress on Heart Rate and Heart Rate Variability

Taelman, Joachim; Vandeput, Steven; Spaepen, Arthur; Huffel, Sabine Van

doi:10.1007/978-3-540-89208-3_324

Cited by 366 publications

(252 citation statements)

References 13 publications

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“…This kit has five modules such as ECG, NIBP, respiration rate, SpO2, and bio-impedance 3 levels (high, normal, and low) as below. Three health parameters (BP, HR, and RR) known to increase with anxiety or stress are selected based in previous studies [2,10,11,22,25].…”

Section: Sensing Emotion From Measurementsmentioning

confidence: 99%

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Multi-level assessment model for wellness service based on human mental stress level

Jung

Yoon

2016

Multimed Tools Appl

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In this paper, we measure human physiological changes from different body parts to quantify human mental stress level by using multimodal bio-sensors. By integrating these physiological responses, we generate bio-index and rule for the prediction of mental status, such as tension, normal, and relax. We also develop an inspection service middleware for analyzing health parameters such as electroencephalography (EEG), electrocardiography (ECG), oxygen saturation (SpO2), blood pressure (BP), and respiration rate (RR). In this service middleware, we use the multi-level assessment model for mental stress level that consists of three steps as follows; classification, reasoning, and decision making. The classification of datasets from bio-sensors is enabled by fuzzy logic and SVM algorithm. The reasoning uses the decision-tree model and random forest algorithm to classify the mental stress level from the health parameters. Finally, we propose a prediction model to make a decision for the wellness contents by using Expectation Maximization (EM).

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Section: Sensing Emotion From Measurementsmentioning

confidence: 99%

“…low (<90 bpm), normal (90-120 bpm) and high (>120 bpm) (3) Heart rate (HR) is the speed of the heartbeat and HR is known to increase with anxiety or stress [22].…”

Section: Sensing Emotion From Measurementsmentioning

confidence: 99%

Multi-level assessment model for wellness service based on human mental stress level

Jung

Yoon

2016

Multimed Tools Appl

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“…GSR has been found to be associated with self-reported sadness (Kreibig, Wilhelm, Roth, & Gross, 2007) and writing about traumatic experiences (Hughes, Uhlmann, & Pennebaker, 1994). HRV reflects the fluctuations in time between two consecutive heartbeats, which is considered to be an indication of the constant interaction of the sympathetic and parasympathetic circuits of the autonomous nervous system (ANS) innervating the heart (Taelman & Vandeput, 2009). HRV therefore provides a means to quantify the activity of the ANS, and may thus provide a measure for stress.…”

Section: Biomarkersmentioning

confidence: 99%

13. State of the Art in Technology-Supported Resilience Training For Military Professionals

Favié¹,

Vakili²,

Brinkman³

et al. 2015

Human Computer Confluence

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Certain professions carry a risk of experiencing traumatic events and sometimes developing Posttraumatic Stress Disorder (PTSD). Researchers have been working on strategies to prevent professionals in those fields from developing PTSD. Recently, there has been a focus on applying technology that supports these preventive strategies, especially in a military context. This chapter provides an overview of the state of the art in technology-supported resilience training for military professionals, which has considerable common ground with the interdisciplinary field of human computer confluence (HCC). The effectiveness of these technologies and the resilience strategies they support are reviewed through the literature.

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“…where P x is Alpha band power as stated in (5). R refers to right hemisphere electrodes and L refers to left right hemisphere electrodes.…”

Section: ) Alpha Brain Asymmetry Scorementioning

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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Influence of Mental Stress on Heart Rate and Heart Rate Variability

Cited by 366 publications

References 13 publications

Multi-level assessment model for wellness service based on human mental stress level

Multi-level assessment model for wellness service based on human mental stress level

13. State of the Art in Technology-Supported Resilience Training For Military Professionals

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

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