The detection of electrocardiogram (ECG) characteristic wave is the basis of cardiovascular disease analysis and heart rate variability analysis. In order to solve the problems of low detection accuracy and poor real-time performance of ECG signal in the state of motion, this paper proposes a detection algorithm based on segmentation energy and stationary wavelet transform (SWT). Firstly, the energy of ECG signal is calculated by segmenting, and the energy candidate peak is obtained after moving average to detect QRS complex. Secondly, the QRS amplitude is set to zero and the fifth component of SWT is used to locate P wave and T wave. The experimental results show that compared with other algorithms, the algorithm in this paper has high accuracy in detecting QRS complex in different motion states. It only takes 0.22 s to detect QSR complex of a 30-minute ECG record, and the real-time performance is improved obviously. On the basis of QRS complex detection, the accuracy of P wave and T wave detection is higher than 95%. The results show that this method can improve the efficiency of ECG signal detection, and provide a new method for real-time ECG signal classification and cardiovascular disease diagnosis.
Medical education is undergoing the transition from traditional classroom teaching to more diversified " inside-and-outside-class collaborative teaching”, that is, extracurricular teaching has become an important supplement to medical education. The academic societies of medical students are important platforms in medical education. With the increasing of academic societies in medical colleges, the coordination and balance between community construction and student development requires deep thinking and investigation. The society should develop under the ideas of " following the initial intention - realizing transformation - promoting innovation”. The society-based extracurricular teaching should be performed in the manner of capacity-directing " translational teaching”. The society needs to carry out the " personalized and advanced” training to improve the scientific research or innovation capacity of individual medical student. This paper aims to discuss key points on the construction and management of academic society of medical students at the micro-level, to provide references for single society’s development.