Psychophysiological Stress Indicators of Heart Rate Variability and Electrodermal Activity With Application in Healthcare Simulation Research

Bhoja, Ravi; Guttman, Oren; Fox, Amanda A.; Melikman, Emily; Kosemund, Matthew; Gingrich, Kevin J.

doi:10.1097/sih.0000000000000402

Cited by 32 publications

(24 citation statements)

References 46 publications

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“…10 LF and HF spectral, and the derived LF/HF ratio, were also found to be descriptive for parasympathetic and sympathetic states. 11 In this study, we found a significant correlation between both mean heart rate and SI as well as SI and RMSSD. However, we were not able to demonstrate significant changes for LF/HF ratio.…”

Section: Discussionsupporting

confidence: 55%

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Simulation-based training of critical events during cardiopulmonary bypass: importance of a critical events checklist

et al. 2020

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Objectives: Evaluation of critical events training for clinical perfusionists is necessary to improve this educational approach. Critical events checklists are effective in reducing clinical complications, but should be tested in a simulation environment first. Individual behavior and stress response of clinical perfusionists during simulated critical events on cardiopulmonary bypass have not been evaluated yet. This study focuses on the evaluation of critical events training and critical events checklists in simulated cardiopulmonary bypass. Methods: A total of 19 clinical perfusionists from a single hospital took part in two simulated critical event scenarios. Clinical perfusionist behavior and physiological responses were recorded using eye tracking, heart rate variability, video, and audio. In addition, workloads were determined and participants were interviewed. Results: Relevant areas of interest were identified for each simulation phase. During critical event detection and subsequent decision-making, areas of interest hits and fixation durations varied with the use of a critical events checklist. Times to decision were shorter, decision quality was higher, and temporal workload was increased when the checklist was used. Evaluation of selected heart rate variability measures revealed a good correlation with pupil diameters. Conclusion: Evaluation of critical events during simulated cardiopulmonary bypass shows that the scenario is realistic and relevant for clinical practice. Integrating a critical events checklist improves the probability of correct decision-making and shortens the correct decision time. Temporal workload is increased when using a checklist. Eye tracking and heart rate variability are well suited to evaluate participants’ behaviors and stress levels. All participants welcomed simulation training for critical incidents.

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Section: Discussionsupporting

confidence: 55%

“…10 Low-frequency (LF) and high-frequency (HF) spectral analysis and the LF/HF ratio were also calculated. 11…”

Section: Methodsmentioning

confidence: 99%

Simulation-based training of critical events during cardiopulmonary bypass: importance of a critical events checklist

et al. 2020

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“…Various physiological parameters can be captured, such as electrodermal activity (EDA), electrocardiogram (ECG), blood oxygen levels, or lung capacity. This information could be useful to detect and evaluate the stress of the subjects (e.g., the rescuers) wearing the sensors [ 49 , 50 , 51 ].…”

Section: Implementation Of X-ioca For Sar Missions: Sar-iocamentioning

confidence: 99%

The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study

Bravo-Arrabal

Toscano-Moreno

Lozano

et al. 2021

Sensors

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Cloud robotics and advanced communications can foster a step-change in cooperative robots and hybrid wireless sensor networks (H-WSN) for demanding environments (e.g., disaster response, mining, demolition, and nuclear sites) by enabling the timely sharing of data and computational resources between robot and human teams. However, the operational complexity of such multi-agent systems requires defining effective architectures, coping with implementation details, and testing in realistic deployments. This article proposes X-IoCA, an Internet of robotic things (IoRT) and communication architecture consisting of a hybrid and heterogeneous network of wireless transceivers (H2WTN), based on LoRa and BLE technologies, and a robot operating system (ROS) network. The IoRT is connected to a feedback information system (FIS) distributed among multi-access edge computing (MEC) centers. Furthermore, we present SAR-IoCA, an implementation of the architecture for search and rescue (SAR) integrated into a 5G network. The FIS for this application consists of an SAR-FIS (including a path planner for UGVs considering risks detected by a LoRa H-WSN) and an ROS-FIS (for real-time monitoring and processing of information published throughout the ROS network). Moreover, we discuss lessons learned from using SAR-IoCA in a realistic exercise where three UGVs, a UAV, and responders collaborated to rescue victims from a tunnel accessible through rough terrain.

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“…For example, if one looks at the VR adaptations of the Trier Social Stress Test mentioned in Section 4.1.4, one finds that in all the listed examples the heart activity is measured. Two other signals frequently used in research to indicate changes in stress level is EDA (Kurniawan et al, 2013;Anusha et al, 2017;Bhoja et al, 2020) and skin temperature (Vinkers et al, 2013;Herborn et al, 2015). Both signals and heart rate variability were compared by Cho et al (2017) in VR.…”

Section: Stressmentioning

confidence: 99%

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

Halbig

Latoschik

2021

Front. Virtual Real.

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Measurements of physiological parameters provide an objective, often non-intrusive, and (at least semi-)automatic evaluation and utilization of user behavior. In addition, specific hardware devices of Virtual Reality (VR) often ship with built-in sensors, i.e. eye-tracking and movements sensors. Hence, the combination of physiological measurements and VR applications seems promising. Several approaches have investigated the applicability and benefits of this combination for various fields of applications. However, the range of possible application fields, coupled with potentially useful and beneficial physiological parameters, types of sensor, target variables and factors, and analysis approaches and techniques is manifold. This article provides a systematic overview and an extensive state-of-the-art review of the usage of physiological measurements in VR. We identified 1,119 works that make use of physiological measurements in VR. Within these, we identified 32 approaches that focus on the classification of characteristics of experience, common in VR applications. The first part of this review categorizes the 1,119 works by field of application, i.e. therapy, training, entertainment, and communication and interaction, as well as by the specific target factors and variables measured by the physiological parameters. An additional category summarizes general VR approaches applicable to all specific fields of application since they target typical VR qualities. In the second part of this review, we analyze the target factors and variables regarding the respective methods used for an automatic analysis and, potentially, classification. For example, we highlight which measurement setups have been proven to be sensitive enough to distinguish different levels of arousal, valence, anxiety, stress, or cognitive workload in the virtual realm. This work may prove useful for all researchers wanting to use physiological data in VR and who want to have a good overview of prior approaches taken, their benefits and potential drawbacks.

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Psychophysiological Stress Indicators of Heart Rate Variability and Electrodermal Activity With Application in Healthcare Simulation Research

Cited by 32 publications

References 46 publications

Simulation-based training of critical events during cardiopulmonary bypass: importance of a critical events checklist

Simulation-based training of critical events during cardiopulmonary bypass: importance of a critical events checklist

The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

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