Heart rate and heart rate variability in emergency medicine

Jenks, Shane; Peacock, W. Frank; Cornelius, Angela; Shafer, Sarah L.; Pillow, M. Tyson; Rayasam, Swathi

doi:10.1016/j.ajem.2019.10.035

Cited by 13 publications

(8 citation statements)

References 27 publications

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“…To address these drawbacks, direct measurements of physiological responses such as heart rate (HR; or pulse rate [PR] when measured using photoplethysmography [PPG]), heart rate variability (HRV), electrodermal activity (EDA), skin temperature (ST), cortisol levels, blood pressure, and pupil diameter data have been investigated for assessment of stress (Greene et al, 2016) and other related constructs such as workload and arousal (Hancock & Matthews, 2019; Matthews et al, 2015). The recent evolution and availability of HR, EDA, and ST sensor technology has enabled continuous collection of physiological responses in real-world settings and has empowered naturalistic research (Healey & Picard, 2005; Jenks et al, 2020; Mehler et al, 2012; Rodrigues et al, 2015; Schneegass et al, 2013). While naturalistic studies of stress using wearable sensors (e.g., Chen et al, 2014; Giakoumis et al, 2012; Giannakakis et al, 2017; Gjoreski et al, 2017; McDuff et al, 2014) have shown promise in complementing participant self-report and simulated laboratory-based measurement, the correlations between several psycho-physiological responses used to assess stress have not been documented in unconstrained and naturalistic environments.…”

Section: Introductionmentioning

confidence: 99%

“…de Looff et al (2018) reviewed 38 articles related to occupational stress and reported a positive correlation between HR and stress; however, it was recommended that results across studies be compared with caution, as both HR (Bexton et al, 1986) and EDA (Hot et al, 1999, 2005) display diurnal variation. A recent study on emergency medicine residents’ HR data using wearable technology revealed that most participants experienced at least one episode of very high level of stress in their shifts, which was associated with maximum HR data (Jenks et al, 2020). HR has also been studied in the context of low arousal (Borghini et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Quantifying Occupational Stress in Intensive Care Unit Nurses: An Applied Naturalistic Study of Correlations Among Stress, Heart Rate, Electrodermal Activity, and Skin Temperature

et al. 2021

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Objective To identify physiological correlates to stress in intensive care unit nurses. Background Most research on stress correlates are done in laboratory environments; naturalistic investigation of stress remains a general gap. Method Electrodermal activity, heart rate, and skin temperatures were recorded continuously for 12-hr nursing shifts (23 participants) using a wrist-worn wearable technology (Empatica E4). Results Positive correlations included stress and heart rate (ρ = .35, p < .001), stress and skin temperature (ρ = .49, p < .05), and heart rate and skin temperatures (ρ = .54, p = .0008). Discussion The presence and direction of some correlations found in this study differ from those anticipated from prior literature, illustrating the importance of complementing laboratory research with naturalistic studies. Further work is warranted to recognize nursing activities associated with a high level of stress and the underlying reasons associated with changes in physiological responses. Application Heart rate and skin temperature may be used for real-time detection of stress, but more work is needed to validate such surrogate measures.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantifying Occupational Stress in Intensive Care Unit Nurses: An Applied Naturalistic Study of Correlations Among Stress, Heart Rate, Electrodermal Activity, and Skin Temperature

et al. 2021

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“…Other wearables are able to track dominant factors of cardiovascular function, associated with arrhythmia initiation and development, even though they do not feature specific AF detection algorithms. The E4 wristband and EmbracePlus smartwatch by Empatica, in particular, assess the heart rate variability, a measure of the autonomic nervous systems related to AF development ( 83 , 84 ). Schuurmans et al validated the performance of Empatica E4 wristband in assessing heart rate variability, underlying the need for the user to remain still, in order to achieve accurate measurements ( 72 ).…”

Section: Wearables For Detection Of Atrial Fibrillationmentioning

confidence: 99%

Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives

Xintarakou

Sousonis

Asvestas

et al. 2022

Front. Cardiovasc. Med.

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Remote monitoring and control of heart function are of primary importance for patient evaluation and management, especially in the modern era of precision medicine and personalized approach. Breaking technological developments have brought to the frontline a variety of smart wearable devices, such as smartwatches, chest patches/straps, or sensors integrated into clothing and footwear, which allow continuous and real-time recording of heart rate, facilitating the detection of cardiac arrhythmias. However, there is great diversity and significant differences in the type and quality of the information they provide, thus impairing their integration into daily clinical practice and the relevant familiarization of practicing physicians. This review will summarize the different types and dominant functions of cardiac smart wearables available in the market. Furthermore, we report the devices certified by official American and/or European authorities and the respective sources of evidence. Finally, we comment pertinent limitations and caveats as well as the potential answers that flow from the latest technological achievements and future perspectives.

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“…BPM peak may suggest extra-effort or stress. Tachycardia may be indicative of mental stress, which in turn can decrease performance (Jenks et al, 2020).…”

Section: Max_bpmmentioning

confidence: 99%

Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers

Aloini

Colladon

Gloor

et al. 2021

TQM

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PurposeThe purpose of the research is to conduct an exploratory investigation of the material handling activities of an Italian logistics hub. Wearable sensors and other smart tools were used for collecting human and environmental features during working activities. These factors were correlated with workers' performance and well-being.Design/methodology/approachHuman and environmental factors play an important role in operations management activities since they significantly influence employees' performance, well-being and safety. Surprisingly, empirical studies about the impact of such aspects on logistics operations are still very limited. Trying to fill this gap, the research empirically explores human and environmental factors affecting the performance of logistics workers exploiting smart tools.FindingsResults suggest that human attitudes, interactions, emotions and environmental conditions remarkably influence workers' performance and well-being, however, showing different relationships depending on individual characteristics of each worker.Practical implicationsThe authors' research opens up new avenues for profiling employees and adopting an individualized human resource management, providing managers with an operational system capable to potentially check and improve workers' well-being and performance.Originality/valueThe originality of the study comes from the in-depth exploration of human and environmental factors using body-worn sensors during work activities, by recording individual, collaborative and environmental data in real-time. To the best of the authors' knowledge, the current paper is the first time that such a detailed analysis has been carried out in real-world logistics operations.

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Heart rate and heart rate variability in emergency medicine

Cited by 13 publications

References 27 publications

Quantifying Occupational Stress in Intensive Care Unit Nurses: An Applied Naturalistic Study of Correlations Among Stress, Heart Rate, Electrodermal Activity, and Skin Temperature

Quantifying Occupational Stress in Intensive Care Unit Nurses: An Applied Naturalistic Study of Correlations Among Stress, Heart Rate, Electrodermal Activity, and Skin Temperature

Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives

Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers

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