According to BORSAM Biomedical
,Heart rate variability (HRV) refers to the variation of successive heartbeat cycles, and it contains the information of the regulation of neurohumoral factors on the cardiovascular system, so as to judge the condition and prevention of cardiovascular diseases. It may be a valuable indicator for the prediction of sudden cardiac death and arrhythmia events. According to bo sheng medical treatment, popularly speaking, heart rate variability (HRV) refers to the change of the difference of successive heartbeat cycle or the change of the heart rate, which is determined by the duration of two adjacent R-R intervals, namely, the small difference between the first cardiac cycle and the next cardiac week.
1. Autonomic nervous system
(1) activity of autonomic nervous system
According to BORSAM Biomedical,The total energy (TP) in the frequency domain index is similar to the SDNN parameter in the time domain index. Reflecting the overall activity of the autonomic nervous system can be used to evaluate the regulatory capacity of the autonomic nervous system.
(2) degree of balance of autonomic nervous system
LF/HF in the frequency domain index reflects the relative activity of sympathetic and parasympathetic nerves.
(3) stability of autonomic nervous system
According to BORSAM Biomedical,Generally, the stability of ANS system is reflected by the strength of LF and HF components. Both LF and HF intensity decrease when individuals are subjected to chronic stress or disease.
Proper stress can be a catalyst for life, while excessive stress can be harmful to human health.
(1) ability to work under pressure
(2) degree of fatigue
3. HRV measurement and analysis method
According to BORSAM Biomedical,Patients only need to wear the wireless data transmission integrated wearable sensor of the weth group biofeedback instrument, and the device will automatically collect HRV data of patients for real-time feedback.
In clinical practice, researchers have worked out some parameters from the changes of r-r interval, which can be divided into time domain and frequency domain changes.
(2) Frequency domain analysis