Development of a Heart Rate Variability Prediction Equation Through Multiple Linear Regression Analysis Using Physical Characteristics and Heart Rate Variables
Heart rate variability (HRV) is an effective tool for objectively evaluating physiological stress indices in psychological states. This study aimed to develop multiple linear regression equations to predict HRV variables using physical characteristics, body composition, and heart rate (HR) variables...
Saved in:
Main Authors: | Sung-Woo Kim PhD (Author), Hun-Young Park PhD (Author), Hoeryong Jung PhD (Author), Sin-Ae Park PhD (Author), Kiwon Lim PhD (Author) |
---|---|
Format: | Book |
Published: |
SAGE Publishing,
2023-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Heart Rate Variability as a Measure of Disease State in Irritable Bowel Syndrome
by: Hyo-Jung Park, RN, PhD
Published: (2008) -
Effects of Autogenic Training on Stress Response and Heart Rate Variability in Nursing Students
by: Seung-Joo Lim, PhD, RN, et al.
Published: (2014) -
Impact of Electroacupuncture Treatment on Quality of Life and Heart Rate Variability in Fibromyalgia Patients
by: Livia G. Díaz-Toral MD, et al.
Published: (2017) -
Impact of Electroacupuncture Treatment on Quality of Life and Heart Rate Variability in Fibromyalgia Patients
by: Livia G. Díaz-Toral MD, et al.
Published: (2017) -
Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study
by: Sung-Woo Kim, et al.
Published: (2021)