Kubios HRV - Heart rate variability analysis software
Mika P. Tarvainen,Juha-Pekka Niskanen,Jukka A. Lipponen,Perttu O. Ranta-aho,Pasi A. Karjalainen +4 more
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TLDR
Kubios HRV is an advanced and easy to use software for heart rate variability (HRV) analysis that includes an adaptive QRS detection algorithm and tools for artifact correction, trend removal and analysis sample selection.About:
This article is published in Computer Methods and Programs in Biomedicine.The article was published on 2014-01-01 and is currently open access. It has received 1841 citations till now. The article focuses on the topics: Software.read more
Citations
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Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting.
TL;DR: This paper will provide psychophysiological researchers with recommendations and practical advice concerning experimental designs, data analysis, and data reporting to ensure that researchers starting a project with HRV and cardiac vagal tone are well informed regarding methodological considerations in order for their findings to contribute to knowledge advancement in their field.
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Chronic vagus nerve stimulation in Crohn's disease: a 6‐month follow‐up pilot study
Bruno Bonaz,Valérie Sinniger,Dominique Hoffmann,Didier Clarençon,Nicolas Mathieu,Cécile Dantzer,Laurent Vercueil,Chloé Picq,Candice Trocme,Patrice Faure,Jean-Luc Cracowski,Sonia Pellissier +11 more
TL;DR: The results provide the first evidence that VNS is feasible and appears as an effective tool in the treatment of active CD with a restored vagal tone.
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Resting heart rate variability predicts self-reported difficulties in emotion regulation: a focus on different facets of emotion regulation
DeWayne P. Williams,Claudia Cash,Cameron Rankin,Anthony Bernardi,Julian Koenig,Julian F. Thayer +5 more
TL;DR: Results revealed a negative relationship between resting vmHRV and DERS such that lower restingvmHRV was associated with greater difficulties in emotional regulation, especially a lack of emotional clarity and impulse control, as indicated by the respective subscales of the DERS.
Journal ArticleDOI
Validity of the Polar V800 heart rate monitor to measure RR intervals at rest
TL;DR: The V800 improves over previous Polar models, with narrower LoA, stronger ICC and smaller ES for both the RR intervals and HRV parameters, in comparison to an electrocardiograph (ECG).
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Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors.
Javier Marín-Morales,Juan Luis Higuera-Trujillo,Alberto Greco,Jaime Guixeres,Carmen Llinares,Enzo Pasquale Scilingo,Mariano Alcañiz,Gaetano Valenza +7 more
TL;DR: The findings validate the use of Immersive Virtual Environments to elicit and automatically recognize different emotional states from neural and cardiac dynamics; this development could have novel applications in fields as diverse as Architecture, Health, Education and Videogames.
References
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Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.
Alan John Camm,Marek Malik,J. T. Bigger,G. Breithardt,Sergio Cerutti,Richard J. Cohen,Philippe Coumel,Ernest L. Fallen,H.L. Kennedy,Robert E. Kleiger,Federico Lombardi,Alberto Malliani,Arthur J. Moss,Jeffrey N. Rottman,Georg Schmidt,Peter J. Schwartz,D.H. Singer +16 more
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Heart rate variability. Standards of measurement, physiological interpretation, and clinical use
Marek Malik,J. Thomas Bigger,A. John Camm,Robert E. Kleiger,Alberto Malliani,Arthur J. Moss,Peter J. Schwartz +6 more
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A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
TL;DR: A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
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Physiological time-series analysis using approximate entropy and sample entropy
TL;DR: A new and related complexity measure is developed, sample entropy (SampEn), and a comparison of ApEn and SampEn is compared by using them to analyze sets of random numbers with known probabilistic character, finding SampEn agreed with theory much more closely than ApEn over a broad range of conditions.
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Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series
TL;DR: A new method--detrended fluctuation analysis (DFA)--for quantifying this correlation property in non-stationary physiological time series is described and application of this technique shows evidence for a crossover phenomenon associated with a change in short and long-range scaling exponents.