Artificial intelligence system for depression assessment based on sleep ECG data(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第12期
- Page:
- 1538-1543
- Research Field:
- 医学信号处理与医学仪器
- Publishing date:
Info
- Title:
- Artificial intelligence system for depression assessment based on sleep ECG data
- Author(s):
- XIAO Bibo1; TANG Jianhao2; ZENG Jiayu3; WANG Xiaowen2; WEI Xiaobin1
- 1. Department of Equipment, the Third Peoples Hospital of Foshan, Foshan 528041, China 2. Department of Equipment, the First Peoples Hospital of Foshan, Foshan 528000, China 3. Department of Medical Engineering, Air Force Hospital of Southern Theatre Command, Guangzhou 510062, China
- Keywords:
- Keywords: sleep ECG data artificial intelligence depression
- PACS:
- R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.12.013
- Abstract:
- Abstract: Sleep disorder is one of the evaluation factors of depression, and the characteristic values can be extracted from ECG data for depression assessment and clinical diagnosis. An artificial intelligence system using sleep ECG data to carry out depression assessment is designed and developed, with the functions of ECG data analysis, ECG filtering and ECG R wave localization. The ECG RR interval graph is generated through the conversion from data to graph. After image enhancement with TensorFlow, a convolution neural network is constructed, and finally an artificial intelligence model for depression assessment based on sleep ECG data is obtained.
Last Update: 2022-12-23