Objective To explore the application effect of time tracking platform in improving the reperfusion treatment of patients with acute ischemic stroke in primary hospitals. Methods and Results Patients with acute ischemi...Objective To explore the application effect of time tracking platform in improving the reperfusion treatment of patients with acute ischemic stroke in primary hospitals. Methods and Results Patients with acute ischemic stroke who carried out emergency intravenous thrombolysis and arterial thrombectomy in our hospital in 2021, 2022 and 2023 were selected. The time tracking mode was implemented, and the patients were recorded at each time node of the hospital and the whole-process digital management was conducted. Compared the mean DNT (Door to Needle Time) of intravenous thrombolysis in emergency stroke patients in 2021, 2022 and 2023, the total number of hospital cases within 4.5 h of onset, the total number of thrombolysis cases within 4.5 h of onset, the number of intravenous thrombolysis in 60 minutes of acute ischemic stroke, and the number of thrombolysis cases. The results show that from 2021 to 2023 our emergency stroke patients with intravenous thrombolysis average DNT shortened year by year, to the hospital within 4.5 h after the onset of the difference is statistically significant (all P < 0.05) conclusion through the application of stroke time tracking platform, is beneficial to shorten the treatment time of each link, can effectively reduce the hospital time delay, improve the rate of thrombolysis, improve the reperfusion of stroke centers in primary hospitals.展开更多
The development of artificial intelligence technology has promoted the rapid improvement of human-computer interaction. This system uses the Kinect visual image sensor to identify human bone data and complete the reco...The development of artificial intelligence technology has promoted the rapid improvement of human-computer interaction. This system uses the Kinect visual image sensor to identify human bone data and complete the recognition of the operator’s movements. Through the filtering process of real-time data by the host computer platform with computer software as the core, the algorithm is programmed to realize the conversion from data to control signals. The system transmits the signal to the lower computer platform with Arduino as the core through the transmission mode of the serial communication, thereby completing the control of the steering gear. In order to verify the feasibility of the theory, the team built a 4-DOF robotic arm control system and completed software development. It can display other functions such as the current bone angle and motion status in real time on the computer operation interface. The experimental data shows that the Kinect-based motion recognition method can effectively complete the tracking of the expected motion and complete the grasping and transfer of the specified objects, which has extremely high operability.展开更多
The bridge deck on the Yuzhong side of Zengjiayan Jialing River Bridge is close to subway lines and light rail stations.It is necessary to set up transfer stairways on both sides of the bridge.The construction technol...The bridge deck on the Yuzhong side of Zengjiayan Jialing River Bridge is close to subway lines and light rail stations.It is necessary to set up transfer stairways on both sides of the bridge.The construction technology of installing and replacing with tunnel under special conditions is discussed to provide reference for bridge construction.展开更多
在高速铁路场景下,准确估计和跟踪无线电信号的波达方向(Direction of Arrival, DOA)能够有效提升无线通信服务质量.然而,高速移动的无线信道具有快速时变特性,对信号处理的速度和准确性提出了更高的挑战.针对传统的基于信号子空间的DO...在高速铁路场景下,准确估计和跟踪无线电信号的波达方向(Direction of Arrival, DOA)能够有效提升无线通信服务质量.然而,高速移动的无线信道具有快速时变特性,对信号处理的速度和准确性提出了更高的挑战.针对传统的基于信号子空间的DOA估计算法,由于巨大的计算量而无法应用于高速铁路快速时变系统中进行DOA跟踪的问题,提出了基于卡尔曼滤波和正交压缩近似投影子空间跟踪(Kalman Filter-Orthonormal Projection Approximation and Subspace Tracking of deflation, K-OPASTd)的DOA算法.首先,搭建基于云平台的铁路信号动态测向系统;然后,建立列车接收信号模型,提出K-OPASTd算法对DOA进行动态跟踪;最后,将本文提出的算法与OPASTd算法所得到的估计角度的均方根误差进行仿真对比实验.研究结果表明:信噪比均为10dB时,本文所提算法的均方根误差比OPASTd算法低约60%;阵元均为20时,K-OPASTd算法的均方根误差比OPASTd算法低约80%.展开更多
文摘Objective To explore the application effect of time tracking platform in improving the reperfusion treatment of patients with acute ischemic stroke in primary hospitals. Methods and Results Patients with acute ischemic stroke who carried out emergency intravenous thrombolysis and arterial thrombectomy in our hospital in 2021, 2022 and 2023 were selected. The time tracking mode was implemented, and the patients were recorded at each time node of the hospital and the whole-process digital management was conducted. Compared the mean DNT (Door to Needle Time) of intravenous thrombolysis in emergency stroke patients in 2021, 2022 and 2023, the total number of hospital cases within 4.5 h of onset, the total number of thrombolysis cases within 4.5 h of onset, the number of intravenous thrombolysis in 60 minutes of acute ischemic stroke, and the number of thrombolysis cases. The results show that from 2021 to 2023 our emergency stroke patients with intravenous thrombolysis average DNT shortened year by year, to the hospital within 4.5 h after the onset of the difference is statistically significant (all P < 0.05) conclusion through the application of stroke time tracking platform, is beneficial to shorten the treatment time of each link, can effectively reduce the hospital time delay, improve the rate of thrombolysis, improve the reperfusion of stroke centers in primary hospitals.
文摘The development of artificial intelligence technology has promoted the rapid improvement of human-computer interaction. This system uses the Kinect visual image sensor to identify human bone data and complete the recognition of the operator’s movements. Through the filtering process of real-time data by the host computer platform with computer software as the core, the algorithm is programmed to realize the conversion from data to control signals. The system transmits the signal to the lower computer platform with Arduino as the core through the transmission mode of the serial communication, thereby completing the control of the steering gear. In order to verify the feasibility of the theory, the team built a 4-DOF robotic arm control system and completed software development. It can display other functions such as the current bone angle and motion status in real time on the computer operation interface. The experimental data shows that the Kinect-based motion recognition method can effectively complete the tracking of the expected motion and complete the grasping and transfer of the specified objects, which has extremely high operability.
文摘The bridge deck on the Yuzhong side of Zengjiayan Jialing River Bridge is close to subway lines and light rail stations.It is necessary to set up transfer stairways on both sides of the bridge.The construction technology of installing and replacing with tunnel under special conditions is discussed to provide reference for bridge construction.
文摘在高速铁路场景下,准确估计和跟踪无线电信号的波达方向(Direction of Arrival, DOA)能够有效提升无线通信服务质量.然而,高速移动的无线信道具有快速时变特性,对信号处理的速度和准确性提出了更高的挑战.针对传统的基于信号子空间的DOA估计算法,由于巨大的计算量而无法应用于高速铁路快速时变系统中进行DOA跟踪的问题,提出了基于卡尔曼滤波和正交压缩近似投影子空间跟踪(Kalman Filter-Orthonormal Projection Approximation and Subspace Tracking of deflation, K-OPASTd)的DOA算法.首先,搭建基于云平台的铁路信号动态测向系统;然后,建立列车接收信号模型,提出K-OPASTd算法对DOA进行动态跟踪;最后,将本文提出的算法与OPASTd算法所得到的估计角度的均方根误差进行仿真对比实验.研究结果表明:信噪比均为10dB时,本文所提算法的均方根误差比OPASTd算法低约60%;阵元均为20时,K-OPASTd算法的均方根误差比OPASTd算法低约80%.
