To improve the low tracking precision caused by lagged filter gain or imprecise state noise when the target highly maneuvers, a modified unscented Kalman filter algorithm based on the improved filter gain and adaptive...To improve the low tracking precision caused by lagged filter gain or imprecise state noise when the target highly maneuvers, a modified unscented Kalman filter algorithm based on the improved filter gain and adaptive scale factor of state noise is presented. In every filter process, the estimated scale factor is used to update the state noise covariance Qk, and the improved filter gain is obtained in the filter process of unscented Kalman filter （UKF） via predicted variance Pk｜k-1, which is similar to the standard Kalman filter. Simulation results show that the proposed algorithm provides better accuracy and ability to adapt to the highly maneuvering target compared with the standard UKF.展开更多
BACKGROUND A modified Valsalva maneuver(VM)has been suggested to be superior to the standard VM for conversion of paroxysmal supraventricular tachycardia(PSVT).AIM To evaluate the efficacy and economic benefits of a m...BACKGROUND A modified Valsalva maneuver(VM)has been suggested to be superior to the standard VM for conversion of paroxysmal supraventricular tachycardia(PSVT).AIM To evaluate the efficacy and economic benefits of a modified VM in Chinese patients.METHODS Patients with PSVT admitted to our center between October 2017 and September 2019 were randomly assigned to the modified and standard VM groups.Conversion via VM was performed up to three times.The primary outcome of the study was the success rate of PSVT conversion to sinus rhythm.The secondary outcomes included the incidence of adverse events,economic cost during the visit,and the degree of patient acceptance of the treatment.RESULTS Overall,361 patients were enrolled,with 180 allocated to the modified VM group and 181 to the standard VM group.Baseline characteristics were well matched in the groups.Overall,the modified VM group had higher success rates of PSVT conversion after single(47.78%vs 15.38%,P<0.001)and multiple(62.22%vs 19.78%,P<0.001)VM sessions.No significant differences in the incidences of adverse events and rates of patient acceptance were detected between the two groups(both P>0.05).Moreover,the economic cost of the clinic visit was significantly lower for the modified VM group than for the standard VM group(P<0.05).CONCLUSION The modified VM may confer both therapeutic and economic benefits as compared with the standard VM for conversion of PSVT.展开更多
In order to estimate the systematic error in the processof maneuvering target adaptive tracking, a new method is proposed.The proposed method is a linear tracking scheme basedon a modified input estimation approach. A...In order to estimate the systematic error in the processof maneuvering target adaptive tracking, a new method is proposed.The proposed method is a linear tracking scheme basedon a modified input estimation approach. A special augmentationin the state space model is considered, in which both the systematicerror and the unknown input vector are attached to thestate vector. Then, an augmented state model and a measurementmodel are established in the case of systematic error, andthe corresponding filter formulas are also given. In the proposedscheme, the original state, the acceleration and the systematicerror vector can be estimated simultaneously. This method can notonly solve the maneuvering target adaptive tracking problem in thecase of systematic error, but also give the system error value inreal time. Simulation results show that the proposed tracking algorithmoperates in both the non-maneuvering and the maneuveringmodes, and the original state, the acceleration and the systematicerror vector can be estimated simultaneously.展开更多
基金supported by the National Natural Science Fundationof China(61102109)
文摘To improve the low tracking precision caused by lagged filter gain or imprecise state noise when the target highly maneuvers, a modified unscented Kalman filter algorithm based on the improved filter gain and adaptive scale factor of state noise is presented. In every filter process, the estimated scale factor is used to update the state noise covariance Qk, and the improved filter gain is obtained in the filter process of unscented Kalman filter （UKF） via predicted variance Pk｜k-1, which is similar to the standard Kalman filter. Simulation results show that the proposed algorithm provides better accuracy and ability to adapt to the highly maneuvering target compared with the standard UKF.
基金Supported by Key Research and Development Project of Shandong Province,No.2016GST201224and Jinan Clinical Medicine Science and Technology Innovation Plan,No.201907056.
文摘BACKGROUND A modified Valsalva maneuver(VM)has been suggested to be superior to the standard VM for conversion of paroxysmal supraventricular tachycardia(PSVT).AIM To evaluate the efficacy and economic benefits of a modified VM in Chinese patients.METHODS Patients with PSVT admitted to our center between October 2017 and September 2019 were randomly assigned to the modified and standard VM groups.Conversion via VM was performed up to three times.The primary outcome of the study was the success rate of PSVT conversion to sinus rhythm.The secondary outcomes included the incidence of adverse events,economic cost during the visit,and the degree of patient acceptance of the treatment.RESULTS Overall,361 patients were enrolled,with 180 allocated to the modified VM group and 181 to the standard VM group.Baseline characteristics were well matched in the groups.Overall,the modified VM group had higher success rates of PSVT conversion after single(47.78%vs 15.38%,P<0.001)and multiple(62.22%vs 19.78%,P<0.001)VM sessions.No significant differences in the incidences of adverse events and rates of patient acceptance were detected between the two groups(both P>0.05).Moreover,the economic cost of the clinic visit was significantly lower for the modified VM group than for the standard VM group(P<0.05).CONCLUSION The modified VM may confer both therapeutic and economic benefits as compared with the standard VM for conversion of PSVT.
基金supported by the National Natural Science Foundation of China(91538201)
文摘In order to estimate the systematic error in the processof maneuvering target adaptive tracking, a new method is proposed.The proposed method is a linear tracking scheme basedon a modified input estimation approach. A special augmentationin the state space model is considered, in which both the systematicerror and the unknown input vector are attached to thestate vector. Then, an augmented state model and a measurementmodel are established in the case of systematic error, andthe corresponding filter formulas are also given. In the proposedscheme, the original state, the acceleration and the systematicerror vector can be estimated simultaneously. This method can notonly solve the maneuvering target adaptive tracking problem in thecase of systematic error, but also give the system error value inreal time. Simulation results show that the proposed tracking algorithmoperates in both the non-maneuvering and the maneuveringmodes, and the original state, the acceleration and the systematicerror vector can be estimated simultaneously.
