Heart Rate Variability HRV Detection with ECG Samrt Watch

Why we need to monitor the Heart Rate Variability HRV and ECG at home?

Heart rate variability HRV detection

1. Heart rate variability (HRV,Heart Rate Variability HRV Detection ) is one of the non-invasive electroencephalographic monitoring indicators that has received considerable attention in recent years, and its physiological impact on HRV.

2. Extensive and in-depth research of HRV has been conducted on its pathological significance, and the results indicate that heart rate variability signals contain information related to cardiovascular regulation.

3. Analysis of HRV can indirectly and quantitatively evaluate the tension and balance of myocardial sympathetic and vagus nerves, which is important information in the section.

4. Balance of HRV, and it can also analyze the activity of the autonomic nervous system. Heart rate variability can also serve as an independent cardiac source.

5. Predictive indicators for the risk of sudden sexual death.

6. Simultaneous analysis of heart rate variability for prognostic assessment and medication of multiple malignant arrhythmia.

7. The analysis of therapeutic effects of HRV has a guiding role. So, research on HRV can greatly promote human understanding of cardiovascular disease.

8. Understand and achieve HRV results is very important in the prevention and treatment of cardiovascular diseases.

Research Methods of HRV Detection

With the continuous deepening of research on HRV, the physiological and pathological information it contains will be further revealed, making HRV.

There is more application space and value. At present, the main methods for analyzing heart rate variability are time-domain analysis and frequency-domain analysis，time-frequency analysis, and nonlinear analysis methods.

 

(1) Prediction of sudden cardiac death (SCD): Since HRV is one of the most sensitive indicators of the tension of the autonomic nervous system.

That is, we can detect the long-term data of HRV and find the pattern of HRV decrease to predict the probability of sudden cardiac death. This HRV is one of the most valuable independent indicators for sudden cardiac death (SCD).

(2) Risk assessment of patients after acute myocardial infarction: HRV decrease is an important basis for predicting the occurrence of heart disease in patients after acute myocardial infarction. It is particularly important to follow up on this indicator.

HRV is one of the important independent indicators of the risk of sudden cardiac death and malignant arrhythmia. It is generally recommended to start HRV testing one week after the occurrence of stroke.

HRV decreases immediately after infarction and begins to recover within a few weeks (gradually recovers after 2 weeks), and returns to normal within about 6-12 months.

Therefore, multiple HRV measurements may be more valuable than single measurements. The speed of HRV recovery after infarction also has predictive value for future mortality risk.

(3) Assessment of autonomic nervous system damage in diabetic patients: Regardless of the severity of diabetes, the degree of autonomic dysfunction varies.

HRV is the most accurate and sensitive indicator for determining whether diabetic patients have autonomic nervous system damage.

(4) Risk assessment of patients with heart failure (CHF) is performed through HRV.

(5) Heart rate variability biofeedback therapy: It plays a good role in improving the chances of conception in infertile individuals, improving pregnancy anxiety in pregnant individuals, and alleviating postpartum depression in the elderly and postpartum population.

(6) Application of HRV in other clinical situations: For example, chronic severe mitral regurgitation caused by angina pectoris, hypertension, cardiomyopathy, and non-cardiac dysfunction heart disease. Cardiovascular diseases such as valvular regurgitation, mitral valve prolapse, arrhythmia, vasovagal syncope, etc.

HRV Detection at home is an important and relatively easy-to-implement monitoring. We will collect data, process, analyze, and report to the platform through algorithms, and the platform will perform management or third-party analysis to generate important human vital signs data that are actually useful.

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