Accuracy of the StressEraser® in the Detection of Cardiac Rhythms

Heilman, Keri J.; Handelman, Mika; Lewis, Gregory F.; Porges, Stephen W.

doi:10.1007/s10484-008-9054-1

Cited by 29 publications

(12 citation statements)

References 4 publications

(4 reference statements)

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“…This method has been previously shown to accurately capture interbeat variability that is comparable to standard Electrocardiography and was pilot-tested in our laboratory using simultaneous pulse transduction and ECG before proceeding (Heilman et al, 2008). A Biopac MP150 pressure transduction system running AcqKnowledge 4.1 software (Biopac Systems, USA), with a 1000 Hz sample rate and 1 Hz high band pass filter, was used for acquiring and processing heart rate data.…”

Section: Methodsmentioning

confidence: 99%

Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes

Libby¹,

Worhunsky²,

Pilver³

et al. 2012

Front. Hum. Neurosci.

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Background: High-frequency heart rate variability (HF-HRV) is a measure of parasympathetic nervous system (PNS) output that has been associated with enhanced self-regulation. Low resting levels of HF-HRV are associated with nicotine dependence and blunted stress-related changes in HF-HRV are associated with decreased ability to resist smoking. Meditation has been shown to increase HF-HRV. However, it is unknown whether tonic levels of HF-HRV or acute changes in HF-HRV during meditation predict treatment responses in addictive behaviors such as smoking cessation. Purpose: To investigate the relationship between HF-HRV and subsequent smoking outcomes. Methods: HF-HRV during resting baseline and during mindfulness meditation was measured within two weeks of completing a 4-week smoking cessation intervention in a sample of 31 community participants. Self-report measures of smoking were obtained at a follow up 17-weeks after the initiation of treatment. Results: Regression analyses indicated that individuals exhibiting acute increases in HF-HRV from resting baseline to meditation smoked fewer cigarettes at follow-up than those who exhibited acute decreases in HF-HRV (b = −4.89, p = 0.008). Conclusion: Acute changes in HF-HRV in response to meditation may be a useful tool to predict smoking cessation treatment response.

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Section: Methodsmentioning

confidence: 99%

Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes

Libby¹,

Worhunsky²,

Pilver³

et al. 2012

Front. Hum. Neurosci.

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“…A hand-held mobile HRV biofeedback device (StressEraser TM , Helicor, USA) validated by Heilman, Handelman, Lewis, and Porges (2008) was used for both the training and the testing sessions in the BIO group. An infrared emitter and sensor incorporated into the device into which the subject placed their index finger, measured the heart rate on a beat to beat basis.…”

Section: Training and Familiarisation Protocolmentioning

confidence: 99%

“…After the familiarisation test, electrodes and transducers were applied to the subjects and connected to a Biopac MP150WSW (Biopac Systems, Goleta, CA, USA) to record electrocardiogram (ECG) and respiratory rates (Rr). The Biopac MP system is a laboratory-based physiological monitoring system which is commonly used as a research tool, and has been cited in numerous publications (Heilman et al, 2008). Subjects were seated throughout the testing and were instructed to move as little as possible.…”

Section: Experimental Trialmentioning

confidence: 99%

The effect of short duration heart rate variability (HRV) biofeedback on cognitive performance during laboratory induced cognitive stress

Prinsloo

Rauch

Lambert

et al. 2010

Applied Cognitive Psychology

128

105

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The aim of this study was to examine the effect of 10 minutes of heart rate variability (HRV) biofeedback on cognitive performance and affect scores during induced stress. Eighteen healthy male volunteers (aged 23-41 years) exposed to workrelated stress, were randomised into an HRV biofeedback intervention (BIO) and a comparative intervention group (COM). Subjects completed a modified Stroop task, which included having to mentally count 18 white squares randomly presented between colour words, before and after a 10-minute intervention. Subjects also completed questionnaires to rate their anxiety. BIO subjects improved their reaction times and consistency of responses, and made fewer mistakes in counting squares during the modified Stroop task. They also felt more relaxed, less anxious and less sleepy than the COM subjects. In conclusion our results suggest that short duration HRV biofeedback is associated with improved cognitive performance while concurrently aiding relaxation.

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“…It is an over-the-counter non-invasive biofeedback device which measures real-time pulse by pulse activity via an infrared finger sensor (Heilman et al 2008). The finger sensor has a built-in pulse detector to identify every pulse the moment it occurs.…”

Section: Ambulatory Heart Rate Variability Biofeedback Devicementioning

confidence: 99%

Moderating Laboratory Adaptation with the Use of a Heart-rate Variability Biofeedback Device (StressEraser®)

Ebben

Kurbatov

Pollak

2009

Appl Psychophysiol Biofeedback

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Difficulty sleeping is a common problem with laboratory polysomnograms. This affects both polysomnograms that are used as a clinical tool to investigate sleep pathology or as an outcome variable in research. The goal of this study was to use a handheld biofeedback device (StressEraser) to improve sleep quality in the laboratory. Ten subjects without a history of sleep disorders were randomly assigned to either a StressEraser or no-treatment control condition. A sleep disturbance scale derived from sleep efficiency, REM latency, minutes of stage 1 sleep, and wake after sleep onset was created to evaluate the differences between these groups. Subjects in the StressEraser group had significantly lower scores on the sleep disturbance scale compared to the no-treatment control group (p = 0.003). Sleep latency was not improved. In conclusion, the StressEraser significantly improved sleep quality compared to a no-treatment control group. This suggests that the StressEraser may be an effective tool to help reduce the first-night effect in nighttime laboratory sleep studies.

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Accuracy of the StressEraser® in the Detection of Cardiac Rhythms

Cited by 29 publications

References 4 publications

Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes

Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes

The effect of short duration heart rate variability (HRV) biofeedback on cognitive performance during laboratory induced cognitive stress

Moderating Laboratory Adaptation with the Use of a Heart-rate Variability Biofeedback Device (StressEraser®)

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