2016
DOI: 10.1371/journal.pone.0154834
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Feasibility, Reliability and Predictive Value Of In-Ambulance Heart Rate Variability Registration

Abstract: BackgroundHeart rate variability (HRV) is a parameter of autonomic nervous system function. A decrease of HRV has been associated with disease severity, risk of complications and prognosis in several conditions.ObjectiveWe aim to investigate the feasibility and the reliability of in-ambulance HRV registration during emergency interventions, and to evaluate the association between prehospital HRV parameters, patient characteristics, vital parameters and short-term outcome.MethodsWe conducted a prospective study… Show more

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Cited by 11 publications
(25 citation statements)
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References 24 publications
(33 reference statements)
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“…A non-invasive two-lead ECG registration (eMotion HRV, Motion Ltd., Kuopio, Finland) in supine position at rest, was performed at baseline (all MS and HC participants) and three months later (MS and HC recruited in the NMSC) for 10 min (1000 Hz sampling frequency). Kubios HRV 2.1 software (Department of Applied Physics, University of Eastern Finland, Kuopio, Finland) was used to select the middle 5 min interval (2 30" to 7 30"), followed by ectopic interval detection (4th order filter) with cubic spline interpolation and de-trending with Wavelet Packet in HRVAS software [18] as in [31]. The batch processing function allowed a blinded analysis.…”
Section: Methodsmentioning
confidence: 99%
“…A non-invasive two-lead ECG registration (eMotion HRV, Motion Ltd., Kuopio, Finland) in supine position at rest, was performed at baseline (all MS and HC participants) and three months later (MS and HC recruited in the NMSC) for 10 min (1000 Hz sampling frequency). Kubios HRV 2.1 software (Department of Applied Physics, University of Eastern Finland, Kuopio, Finland) was used to select the middle 5 min interval (2 30" to 7 30"), followed by ectopic interval detection (4th order filter) with cubic spline interpolation and de-trending with Wavelet Packet in HRVAS software [18] as in [31]. The batch processing function allowed a blinded analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Power spectral analysis describes the periodic oscillations of the heart rate decomposed at different frequencies and amplitudes by Fast Fourier Transformation [31], with regard to oscillations in cardiovascular parameters. The HF component (0.15-0.4 Hz) is considered to indicate vagal influence over the heart, while the LF component (0.04-0.15 Hz) is believed to reflect both sympathetic and vagal influence and has been correlated with baroreflex sensitivity [25,28].…”
Section: Frequency Domainmentioning
confidence: 99%
“…The LF/HF ratio is an index for overall sympatho-vagal balance. A ratio greater than one is an estimate of sympathetic dominance, while a LF/HF ratio less than one is associated with parasympathetic dominance [22,31,32]. Time Domain Analysis (SDNN, RMSSD, pNN50) A total of four studies provided analyzable data for time domain analysis of HRV (SDNN, RMSSD, and pNN50) with 384 patients.…”
Section: Frequency Domainmentioning
confidence: 99%
“…Recordings were visualized and processed using HRV Analysis Software (HRVAS). For each condition an artefact-free segment with a duration of 5 minutes was chosen for the analysis, in order to correct for noise or extrabeats, etc (22).…”
Section: Hrv and Cbfmentioning
confidence: 99%