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Hjärtfrekvensvariabilitet Mätt med Kontrollerad Andning

Lundström, Em LU and Melander, Marcus LU (2024) EEML05 20241
Department of Biomedical Engineering
Abstract (Swedish)
Heart rate variability (HRV) is a measure of the variation in the time intervals between heartbeats. HRV can provide insights into the condition of the heart as well as the state and interaction of the sympathetic and parasympathetic nervous systems. HRV can be measured over shorter periods (5 minutes) or longer periods (up to 24 hours). Similar to pulse, HRV is linked to respiratory rate. During a typical 5-minute HRV examination, HRV is measured during spontaneous breathing, which can vary significantly from person to person. This report therefore investigates how an analysis method using controlled breathing could be structured and what information could be extracted. Subjects were asked to breathe in sync with a metronome that... (More)
Heart rate variability (HRV) is a measure of the variation in the time intervals between heartbeats. HRV can provide insights into the condition of the heart as well as the state and interaction of the sympathetic and parasympathetic nervous systems. HRV can be measured over shorter periods (5 minutes) or longer periods (up to 24 hours). Similar to pulse, HRV is linked to respiratory rate. During a typical 5-minute HRV examination, HRV is measured during spontaneous breathing, which can vary significantly from person to person. This report therefore investigates how an analysis method using controlled breathing could be structured and what information could be extracted. Subjects were asked to breathe in sync with a metronome that gradually increased in speed. At the same time, HRV and respiratory rate were measured; the same individuals also underwent a conventional examination for comparative purposes. A total of 97 individuals aged 20-61 years old were examined with the majority being between 20 and 30 years old. The participants were divided into age groups. After performing a Fourier transform, the most prevalent frequency from the breathing was identified. By then performing a Fourier transform on the heart rate variability and examining the energy in a frequency range around the dominant respiratory frequency, it was possible to see how well the respiratory rate and heart rate variability corresponded with each other. Significant differences in energy around the dominant resperatoryfrequncy were observed between both the youngest and oldest age group and between the second youngest and oldest age group. (Less)
Please use this url to cite or link to this publication:
author
Lundström, Em LU and Melander, Marcus LU
supervisor
organization
alternative title
Heart Rate Variability measured with Controlled Breathing
course
EEML05 20241
year
type
M2 - Bachelor Degree
subject
keywords
Hjärtfrekvensvariabilitet, andningsfrekvens, styrd andning
language
Swedish
id
9163633
date added to LUP
2024-06-20 12:52:11
date last changed
2024-06-20 12:52:11
@misc{9163633,
  abstract     = {{Heart rate variability (HRV) is a measure of the variation in the time intervals between heartbeats. HRV can provide insights into the condition of the heart as well as the state and interaction of the sympathetic and parasympathetic nervous systems. HRV can be measured over shorter periods (5 minutes) or longer periods (up to 24 hours). Similar to pulse, HRV is linked to respiratory rate. During a typical 5-minute HRV examination, HRV is measured during spontaneous breathing, which can vary significantly from person to person. This report therefore investigates how an analysis method using controlled breathing could be structured and what information could be extracted. Subjects were asked to breathe in sync with a metronome that gradually increased in speed. At the same time, HRV and respiratory rate were measured; the same individuals also underwent a conventional examination for comparative purposes. A total of 97 individuals aged 20-61 years old were examined with the majority being between 20 and 30 years old. The participants were divided into age groups. After performing a Fourier transform, the most prevalent frequency from the breathing was identified. By then performing a Fourier transform on the heart rate variability and examining the energy in a frequency range around the dominant respiratory frequency, it was possible to see how well the respiratory rate and heart rate variability corresponded with each other. Significant differences in energy around the dominant resperatoryfrequncy were observed between both the youngest and oldest age group and between the second youngest and oldest age group.}},
  author       = {{Lundström, Em and Melander, Marcus}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Hjärtfrekvensvariabilitet Mätt med Kontrollerad Andning}},
  year         = {{2024}},
}