Aomalous changes in the ST segment, including ST level deviation and ST shape change, are the major parameters in clinical electrocardiogram (ECG) diagnosis of myocardial ischemia. Automatic detection of ST segment mo...Aomalous changes in the ST segment, including ST level deviation and ST shape change, are the major parameters in clinical electrocardiogram (ECG) diagnosis of myocardial ischemia. Automatic detection of ST segment morphology can provide a more accurate evidence for clinical diagnosis of myocardial ischemia. In this paper, we proposed a method for classifying the shape of the ST-segment based on the curvature scale space (CSS) technique. First, we established a reference ST set and preprocessed the ECG signal by using the CSS technique. Then, the corner points in the ST-segment were detected at a high scale of the CSS and tracked through multiple lower scales, in order to improve its localization. Finally, the current beat of ST morphology can be distinguished by the corner points. We applied the developed algorithm to the ECG recordings in European ST-T database and QT database to validate the accuracy of the algorithm. The experimental results showed that the average detection accuracy of our algorithm was 91.60%. We could conclude that the proposed method is able to provide a new way for the automatic detection of myocardial ischemia.展开更多
Timely and effective knee function evaluation and knee exercises promote the prevention and self-management of knee diseases.In this paper,aKinectbased exergame system is proposed to assess and train the knee function...Timely and effective knee function evaluation and knee exercises promote the prevention and self-management of knee diseases.In this paper,aKinectbased exergame system is proposed to assess and train the knee function.Azure Kinect was used to capture and generate 3D models of the user and immerse them in an interactive virtual environment.The software included three functional modules:knee function evaluation,Knee exercises game,and Comprehensive evaluation.The stand,step,leg lift,and squat were selected for knee function evaluation and exercises.Twenty volunteers participated in the experiment.Intraclass correlation coefficients(ICCs)were calculated to assess the reliability of kinematic measurements of knee angles during the movements.The ICC of these movements were stand(ICC=0.987),step(ICC=0.997),left leg lift(ICC=0.981),right leg lift(ICC=0.990),stand(ICC=0.998).The results show that the test-retest reliability is high.It means that the motion capture data is effective and the data obtained by Kinect is stable.展开更多
文摘Aomalous changes in the ST segment, including ST level deviation and ST shape change, are the major parameters in clinical electrocardiogram (ECG) diagnosis of myocardial ischemia. Automatic detection of ST segment morphology can provide a more accurate evidence for clinical diagnosis of myocardial ischemia. In this paper, we proposed a method for classifying the shape of the ST-segment based on the curvature scale space (CSS) technique. First, we established a reference ST set and preprocessed the ECG signal by using the CSS technique. Then, the corner points in the ST-segment were detected at a high scale of the CSS and tracked through multiple lower scales, in order to improve its localization. Finally, the current beat of ST morphology can be distinguished by the corner points. We applied the developed algorithm to the ECG recordings in European ST-T database and QT database to validate the accuracy of the algorithm. The experimental results showed that the average detection accuracy of our algorithm was 91.60%. We could conclude that the proposed method is able to provide a new way for the automatic detection of myocardial ischemia.
基金This research was funded by the Key Project on Anhui Provincial Natural Science Study by Colleges and Universities under Grant“Key technical research of knee function evaluation and rehabilitation training”(No.KJ2019A0555)Key project of Science and Technology Service Network Program of Chinese Academy of Sciences“Construction of chronic disease risk prevention and control service system based on big data”(No.KFJ-STS-ZDTP-079)Major Science and Technology Projects ofAnhui Province”Research and demonstration of key technologies of non-medical sexual health promotion services”(No.18030801133).
文摘Timely and effective knee function evaluation and knee exercises promote the prevention and self-management of knee diseases.In this paper,aKinectbased exergame system is proposed to assess and train the knee function.Azure Kinect was used to capture and generate 3D models of the user and immerse them in an interactive virtual environment.The software included three functional modules:knee function evaluation,Knee exercises game,and Comprehensive evaluation.The stand,step,leg lift,and squat were selected for knee function evaluation and exercises.Twenty volunteers participated in the experiment.Intraclass correlation coefficients(ICCs)were calculated to assess the reliability of kinematic measurements of knee angles during the movements.The ICC of these movements were stand(ICC=0.987),step(ICC=0.997),left leg lift(ICC=0.981),right leg lift(ICC=0.990),stand(ICC=0.998).The results show that the test-retest reliability is high.It means that the motion capture data is effective and the data obtained by Kinect is stable.
