Objective:To study the value of the wearable single-lead remote monitoring device with the scatterplot in chronic disease management.Methods:dmitted into 435 residents accord with the inclusion criteria of 20 primary ...Objective:To study the value of the wearable single-lead remote monitoring device with the scatterplot in chronic disease management.Methods:dmitted into 435 residents accord with the inclusion criteria of 20 primary medical institutions of Yinchuan city,and grouped voluntarily by the implementation schemes were grouped voluntarily according to the implementation schemes.According to one of the three implementation schemes selected,the general practitioner guided the subjects to take on the wearable single-lead remote monitoring device,collecting and uploading the EEG data,then diagnosed and analyzed by the synchronously generated ECG scatterplot,finally,summarized the incidence and the categories,analyzed the differences among these three groups.Results:Among 435 subjects,there were 61 normal patients and 374 arrhythmias with the detection rate of 85.98%;and among the 1672 data collected,there were 606 normal data and 1066 arrhythmia with the detection rate of 63.76%;880 data in total 333 cases with atrial premature beat;442 data in total 215 cases with occasional ventricular premature beat;37 data of 22 cases with frequent atrial beat;65 data of 28 cases with frequent ventricular premature beat;13 data of 6 cases with atrial fibrillation;25 data of 15 cases with excitation conduction disorder;2 data of 2 cases with atrial flutter;31 data of 19 cases with ventricular tachycardia;30 data of 16 cases with conduction block;and 14 data of 8 cases with Para systolic rhythm.comparing the detection rate of arrhythmia in three groups,the difference was not statistically significant(P>0.05).Conclusion:The wearable singlelead remote monitoring device with the scatterplot has high application value in cardiovascular chronic disease management.Its effectively screening,validly diagnosing and detailed classifying are helpful to the early intervention,and the protection of the patients’lives.展开更多
Optical and visual measurement technology is used widely in fields that involve geometric measurements,and among such technology are laser and vision-based displacement measuring modules(LVDMMs).The displacement trans...Optical and visual measurement technology is used widely in fields that involve geometric measurements,and among such technology are laser and vision-based displacement measuring modules(LVDMMs).The displacement transformation coefficient(DTC)of an LVDMM changes with the coordinates in the camera image coordinate system during the displacement measuring process,and these changes affect the displacement measurement accuracy of LVDMMs in the full field of view(FFOV).To give LVDMMs higher accuracy in the FFOV and make them adaptable to widely varying measurement demands,a new calibration method is proposed to improve the displacement measurement accuracy of LVDMMs in the FFOV.First,an image coordinate system,a pixel measurement coordinate system,and a displacement measurement coordinate system are established on the laser receiving screen of the LVDMM.In addition,marker spots in the FFOV are selected,and the DTCs at the marker spots are obtained from calibration experiments.Also,a fitting method based on locally weighted scatterplot smoothing(LOWESS)is selected,and with this fitting method the distribution functions of the DTCs in the FFOV are obtained based on the DTCs at the marker spots.Finally,the calibrated distribution functions of the DTCs are applied to the LVDMM,and experiments conducted to verify the displacement measurement accuracies are reported.The results show that the FFOV measurement accuracies for horizontal and vertical displacements are better than±15μm and±19μm,respectively,and that for oblique displacement is better than±24μm.Compared with the traditional calibration method,the displacement measurement error in the FFOV is now 90%smaller.This research on an improved calibration method has certain significance for improving the measurement accuracy of LVDMMs in the FFOV,and it provides a new method and idea for other vision-based fields in which camera parameters must be calibrated.展开更多
应用Lorenz-RR散点图、1 h t-RR散点图及逆向分析技术,对5例复杂性心律失常患者进行分析,结果发现:借助心电散点图这项技术,可以快速判断与鉴别快速性心律失常合并缓慢性心律失常,也可以快速判断多源性室性早搏中室性并行心律的存在。...应用Lorenz-RR散点图、1 h t-RR散点图及逆向分析技术,对5例复杂性心律失常患者进行分析,结果发现:借助心电散点图这项技术,可以快速判断与鉴别快速性心律失常合并缓慢性心律失常,也可以快速判断多源性室性早搏中室性并行心律的存在。心电散点图既简化了动态心电图的分析过程,也强化了其诊断与鉴别诊断功能,使复杂性心律失常的诊断更为快捷准确。展开更多
基金The Special Project of Science and technology benefit the people of Ningxia Hui Autonomous Region(2018CMG03015)。
文摘Objective:To study the value of the wearable single-lead remote monitoring device with the scatterplot in chronic disease management.Methods:dmitted into 435 residents accord with the inclusion criteria of 20 primary medical institutions of Yinchuan city,and grouped voluntarily by the implementation schemes were grouped voluntarily according to the implementation schemes.According to one of the three implementation schemes selected,the general practitioner guided the subjects to take on the wearable single-lead remote monitoring device,collecting and uploading the EEG data,then diagnosed and analyzed by the synchronously generated ECG scatterplot,finally,summarized the incidence and the categories,analyzed the differences among these three groups.Results:Among 435 subjects,there were 61 normal patients and 374 arrhythmias with the detection rate of 85.98%;and among the 1672 data collected,there were 606 normal data and 1066 arrhythmia with the detection rate of 63.76%;880 data in total 333 cases with atrial premature beat;442 data in total 215 cases with occasional ventricular premature beat;37 data of 22 cases with frequent atrial beat;65 data of 28 cases with frequent ventricular premature beat;13 data of 6 cases with atrial fibrillation;25 data of 15 cases with excitation conduction disorder;2 data of 2 cases with atrial flutter;31 data of 19 cases with ventricular tachycardia;30 data of 16 cases with conduction block;and 14 data of 8 cases with Para systolic rhythm.comparing the detection rate of arrhythmia in three groups,the difference was not statistically significant(P>0.05).Conclusion:The wearable singlelead remote monitoring device with the scatterplot has high application value in cardiovascular chronic disease management.Its effectively screening,validly diagnosing and detailed classifying are helpful to the early intervention,and the protection of the patients’lives.
基金supported financially by the National Natural Science Foundation of China (NSFC) (Grant No.51775378)the Key Projects in Tianjin Science&Technology Support Program (Grant No.19YFZC GX00890).
文摘Optical and visual measurement technology is used widely in fields that involve geometric measurements,and among such technology are laser and vision-based displacement measuring modules(LVDMMs).The displacement transformation coefficient(DTC)of an LVDMM changes with the coordinates in the camera image coordinate system during the displacement measuring process,and these changes affect the displacement measurement accuracy of LVDMMs in the full field of view(FFOV).To give LVDMMs higher accuracy in the FFOV and make them adaptable to widely varying measurement demands,a new calibration method is proposed to improve the displacement measurement accuracy of LVDMMs in the FFOV.First,an image coordinate system,a pixel measurement coordinate system,and a displacement measurement coordinate system are established on the laser receiving screen of the LVDMM.In addition,marker spots in the FFOV are selected,and the DTCs at the marker spots are obtained from calibration experiments.Also,a fitting method based on locally weighted scatterplot smoothing(LOWESS)is selected,and with this fitting method the distribution functions of the DTCs in the FFOV are obtained based on the DTCs at the marker spots.Finally,the calibrated distribution functions of the DTCs are applied to the LVDMM,and experiments conducted to verify the displacement measurement accuracies are reported.The results show that the FFOV measurement accuracies for horizontal and vertical displacements are better than±15μm and±19μm,respectively,and that for oblique displacement is better than±24μm.Compared with the traditional calibration method,the displacement measurement error in the FFOV is now 90%smaller.This research on an improved calibration method has certain significance for improving the measurement accuracy of LVDMMs in the FFOV,and it provides a new method and idea for other vision-based fields in which camera parameters must be calibrated.
文摘应用Lorenz-RR散点图、1 h t-RR散点图及逆向分析技术,对5例复杂性心律失常患者进行分析,结果发现:借助心电散点图这项技术,可以快速判断与鉴别快速性心律失常合并缓慢性心律失常,也可以快速判断多源性室性早搏中室性并行心律的存在。心电散点图既简化了动态心电图的分析过程,也强化了其诊断与鉴别诊断功能,使复杂性心律失常的诊断更为快捷准确。
