山东大学教师主页周卫东 ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features Home

Current position: Home >> Scientific Research >> Paper Publications

ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features

Hits:

Institution:集成电路学院

Title of Paper:ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features

Journal:Computer Methods and Programs in Biomedicine

First Author:刘国洋

Document Code:D9FBC370C87F4F13B849722078F134AF

Issue:208

Number of Words:7

Translation or Not:No

Date of Publication:2021-09

Release Time:2023-11-17

Prev One:ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features

Next One:An Efficient and Accurate Iris Recognition Algorithm Based on a Novel Condensed 2-ch Deep Convolutional Neural Network