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Updated: Apr 22, 2026
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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
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[Analysis of heart rate variability. Mathematical description and practical application].
1Bereich Arbeitsmedizin der Medizinischen Fakultät, Otto-von-Guericke-Universität Magdeburg, Leipziger Str. 44, 39190, Magdeburg, Deutschland, Stefan.Sammito@med.ovgu.de.
Herz
|October 10, 2014
Summary
Heart rate variability (HRV) analysis quantifies cardiovascular system demands by reflecting autonomic nervous system interactions. This review details HRV analysis methods, parameters, and practical considerations for accurate assessment.
Area of Science:
- Physiology
- Biomedical Engineering
- Cardiovascular Research
Context:
- Heart rate variability (HRV) analysis is a non-invasive method to assess cardiovascular system load.
- HRV reflects the interplay between sympathetic and parasympathetic nervous systems.
- Autonomic nervous system influence on cardiovascular regulation can be mathematically described using HRV.
Purpose:
- To review and explicate various heart rate variability (HRV) analysis methods.
- To discuss the range of HRV parameters, acquisition time requirements, and artefact correction.
- To provide guidance on selecting appropriate acquisition periods and present standard HRV parameter values.
Summary:
- This review details time, frequency, and non-linear methods for analyzing heart rate variability (HRV).
- It covers essential aspects such as parameter selection, data acquisition duration, and artefact correction techniques.
- Standard values for key HRV parameters are presented to aid interpretation.
Impact:
- Provides a comprehensive guide to HRV analysis for researchers and clinicians.
- Facilitates accurate non-invasive assessment of cardiovascular system demands.
- Enhances understanding of autonomic nervous system function through HRV metrics.
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