Abstract: A method and an apparatus for analyzing heart rate Variability (HRV), and use thereof are provided. A low-cost, portable and wearable signal acquisition device is utilized to acquire electrocardiography (ECG) signals of epilepsy patients for 24 hours before treatment, and a time domain index, a frequency domain index and a nonlinear index of the ECG during a long term and during a short term are calculated with a programmed HRV analysis method, and the efficacy of vagus nerve stimulation (VNS) treatment for patients with medically intractable epilepsy is accurately and efficiently predicted based on characteristic parameters for characterizing an effect level of the vagus nerve regulating the heart rate, i.e., vagus nerve activity, thereby avoiding unnecessary costs and avoiding the delay of the optimal treatment timing. In addition, the characteristic parameters obtained by the HRV analysis on the ECG may be utilized to clearly select VNS treatment indication patients.

Abstract: A modeling method for screening surgical patients, used in analysis modeling for heart rate variability (HRV). Low-cost, portable and wearable signal acquisition equipment is utilized to acquire an electrocardiography (ECG) signal of an epileptic 24 hours before surgery; a multiscale entropy (MSE) of the ECG is calculated by means of a programmed HRV analysis method, wherein characteristic parameters representing heart rate complexity are extracted on the basis of an MSE curve, and a medical refractory epileptic suitable for vagus nerve stimulation (VNS) surgery is accurately and efficiently screened, thus avoiding unnecessary expenditures and avoiding delaying an optimal opportunity for treatment. Meanwhile, the curative effects of the VNS treatment may be wholly improved by means of clearly selecting VNS surgical indication patients according to the characteristic parameters of the MSE complexity of the ECG.

Abstract: A method for analyzing heart rate variability, and an apparatus and use thereof, the method for analyzing heart rate variability including collecting ECG data in vitro; digitizing and denoising the ECG data; forming the processed ECG data into a sinus NN interval sequence; selecting sinus NN interval data of 4 hours in an awake state; performing MSE calculation on the sinus NN interval sequence of 4 hours in an awake state; and extracting parameters representing the complexity of a heart rate by using MSE curves. The present invention may provide accurate and efficient screening for drug-refractory epilepsy patients who are suitable for vagus nerve stimulation surgery, thus avoiding unnecessary expenses, and avoiding missing the most opportune moment for treatment. At the same time, patients suitable for VNS surgery are selected by using MSE complexity feature parameters of ECG, thus improving the overall efficacy of VNS therapy.

Abstract: A method and an apparatus for analyzing heart rate Variability (HRV), and use thereof are provided. A low-cost, portable and wearable signal acquisition device is utilized to acquire electrocardiography (ECG) signals of epilepsy patients for 24 hours before treatment, and a time domain index, a frequency domain index and a nonlinear index of the ECG during a long term and during a short term are calculated with a programmed HRV analysis method, and the efficacy of vagus nerve stimulation (VNS) treatment for patients with medically intractable epilepsy is accurately and efficiently predicted based on characteristic parameters for characterizing an effect level of the vagus nerve regulating the heart rate, i.e., vagus nerve activity, thereby avoiding unnecessary costs and avoiding the delay of the optimal treatment timing. In addition, the characteristic parameters obtained by the HRV analysis on the ECG may be utilized to clearly select VNS treatment indication patients.

Abstract: An electrical pulse stimulation system includes a pulse generator, a first lead electrically connected to the pulse generator, and a second lead electrically connected to the pulse generator. The pulse generator is configured to deliver a left sacral nerve electrical pulse stimulation signal to the first lead and deliver a right sacral nerve electrical pulse stimulation signal to the second lead. The pulse generator is further configured to determine and adjust a stimulation quantity proportion of the left sacral nerve electrical pulse stimulation signal and the right sacral nerve electrical pulse stimulation signal according to a sacral nerve data of a patient.

Abstract: A method for analyzing heart rate variability, and an apparatus and use thereof, the method for analyzing heart rate variability including collecting ECG data in vitro; digitizing and denoising the ECG data; forming the processed ECG data into a sinus NN interval sequence; selecting sinus NN interval data of 4 hours in an awake state; performing MSE calculation on the sinus NN interval sequence of 4 hours in an awake state; and extracting parameters representing the complexity of a heart rate by using MSE curves. The present invention may provide accurate and efficient screening for drug-refractory epilepsy patients who are suitable for vagus nerve stimulation surgery, thus avoiding unnecessary expenses, and avoiding missing the most opportune moment for treatment. At the same time, patients suitable for VNS surgery are selected by using MSE complexity feature parameters of ECG, thus improving the overall efficacy of VNS therapy.

Abstract: A method and an apparatus for analyzing heart rate Variability (HRV), and use thereof are provided. A low-cost, portable and wearable signal acquisition device is utilized to acquire electrocardiography (ECG) signals of epilepsy patients for 24 hours before treatment, and a time domain index, a frequency domain index and a nonlinear index of the ECG during a long term and during a short term are calculated with a programmed HRV analysis method, and the efficacy of vagus nerve stimulation (VNS) treatment for patients with medically intractable epilepsy is accurately and efficiently predicted based on characteristic parameters for characterizing an effect level of the vagus nerve regulating the heart rate, i.e., vagus nerve activity, thereby avoiding unnecessary costs and avoiding the delay of the optimal treatment timing. In addition, the characteristic parameters obtained by the HRV analysis on the ECG may be utilized to clearly select VNS treatment indication patients.

Abstract: A modeling method for screening surgical patients, used in analysis modeling for heart rate variability (HRV). Low-cost, portable and wearable signal acquisition equipment is utilized to acquire an electrocardiography (ECG) signal of an epileptic 24 hours before surgery; a multiscale entropy (MSE) of the ECG is calculated by means of a programmed HRV analysis method, wherein characteristic parameters representing heart rate complexity are extracted on the basis of an MSE curve, and a medical refractory epileptic suitable for vagus nerve stimulation (VNS) surgery is accurately and efficiently screened, thus avoiding unnecessary expenditures and avoiding delaying an optimal opportunity for treatment. Meanwhile, the curative effects of the VNS treatment may be wholly improved by means of clearly selecting VNS surgical indication patients according to the characteristic parameters of the MSE complexity of the ECG.