Heart rate variability analysis method, apparatus and application

A technology of heart rate variability and analysis method, applied in the field of heart rate variability analysis, can solve problems such as no curative effect prediction

Active Publication Date: 2017-04-05
TSINGHUA UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] At present, there is no research and technical plan to use ECG signal HRV analysis technology to predict the curative effect of VNS treatment drug refractory

Method used

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  • Heart rate variability analysis method, apparatus and application
  • Heart rate variability analysis method, apparatus and application
  • Heart rate variability analysis method, apparatus and application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] like figure 2 As shown, the standard 12-lead ECG acquisition 24 hours before the operation: the sampling rate of the ECG acquisition device is required to be greater than or equal to 500 Hz, and during the ECG recording period, avoid strenuous exercise, medication and other activities that may affect the heart function, and the recording time length is 24 hours. The recording environment and conditions of the subjects and individuals should be basically similar. It is also required to ensure that the data used for HRV analysis are normal sinus NN intervals. When performing HRV analysis, the 24-hour time domain, frequency domain and nonlinear indicators were extracted at the same time, and the time domain, frequency domain and nonlinear indicators of each 5-min short-range ECG in wakefulness and sleep were extracted. The specific processing flow of ECG signal is as follows: image 3 shown.

[0034] 1) Collect ECG signals and digitally process the signals;

[0035] ...

Embodiment 2

[0049] Other markers that may characterize vagus nerve activity in the HRV analysis method in Example 1 can also be used for the prediction of the therapeutic effect and patient screening of the above-mentioned VNS treatment drug-refractory epilepsy.

[0050] The present invention can predict the curative effect of drug refractory epilepsy patients before VNS operation by collecting ECG 24 hours before operation and HRV time domain, frequency domain and nonlinear analysis, and guide drug refractory epilepsy Patients with epilepsy should correctly choose VNS surgery to avoid unnecessary expenditures and avoid delaying the best treatment opportunity. At the same time, the characteristic parameters representing vagus nerve activity obtained by ECG HRV analysis can be used to predict the efficacy of VNS and clearly select patients with indications for VNS surgery. Can improve the efficacy of VNS therapy as a whole.

Embodiment 3

[0052] According to the above screening method, 32 patients with drug-refractory epilepsy who completed VNS surgery in Beijing Tiantan Hospital between August 13, 2014 and December 31, 2014 were selected for verification. Thirty-two patients with drug-refractory epilepsy underwent a complete evaluation (including demographic characteristics, clinical history, history of antiepileptic drugs, 24-hour video EEG, MRI, and 24-hour Holter, etc.) before VNS.

[0053] The time-domain, frequency-domain and nonlinear analysis of HRV were performed on the 24-hour dynamic ECG data according to the above-mentioned ECG signal processing method, and the characteristic parameters RMSSD, pNN50, SD1 and HF that characterize the vagus nerve activity of each patient were extracted. At the end of the 1-year follow-up, among the 32 patients with drug-resistant epilepsy who received VNS treatment, 17 patients had a reduction in seizure frequency of 50% or more (including 6 patients whose seizures wer...

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Abstract

The invention relates to a heart rate variability (HRV) analysis method, apparatus and application. A low-cost, portable and wearable signal acquisition device is employed to obtain electrocardiography (ECG) signals of an epileptic patient within 24 hours before operation, the time domain, the frequency domain and the non-linear index of long-range and short-range ECG are calculated by means of a stylized HRV analysis method, based on the characteristic parameter representing the modulating effect degree of the vagus nerve to the heart rate, i.e., the vagus nerve activity, the curative effect of vagus nerve stimulation (VNS) operation to medically intractable epileptic patients is predicted accurately and efficiently, unnecessary appropriation expenditure is avoided, the optimal opportunity for treatment is prevented from being delayed, by means the HRV characteristic parameter of ECG, VNS operation indication patients are selected definitely, and the curative effect of the VNS therapy is improved on the whole.

Description

technical field [0001] The present invention relates to a heart rate variability analysis method, device and application, in particular to the curative effect prediction of the heart rate variability analysis method and the device in the field of vagus nerve stimulation (Vagus Nerve Stimulation, VNS) treatment of drug-refractory epilepsy. Background technique [0002] Epilepsy as a disease will affect the lives of patients. Most patients can use one or more drugs to control the onset, but there are still some patients who are not sensitive to drug treatment. These patients are called drug refractory. patients with epilepsy. Vagus Nerve Stimulation (VNS), as an adjuvant therapy, can effectively control seizures in patients with drug-refractory epilepsy, but its efficacy varies greatly among individuals and has high uncertainty. Statistical analysis results show that only 5%-9% of drug-refractory epilepsy patients undergoing VNS surgery have complete seizure control, and abou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0245
CPCA61B5/02405A61B5/0245A61B5/4035A61B5/4094A61B5/4848A61B5/349A61B5/352A61B5/316A61B5/339A61B5/341
Inventor 李路明刘洪运杨曌
Owner TSINGHUA UNIV
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