.png){kind=icon}
.png){kind=icon}
Return
Guest Editorial Machine Learning Technology for Biomedical Signal Processing
.png){kind=icon}
PRE
AI
DOI：10.1109/JBHI.2024.3451828.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Biomedical signal processing integrates the evaluation of health measures for the purpose of delivering significant factor diagnostic information [1]. Real-time monitoring features enabled by biomedical signal processing can lead to better chronic condition control and timely identification of hazardous occurrences. The use of a remote database for cloud computing in biomedical signal processing has significant implications for healthcare applications. To guarantee effective analysis, optimal data presentation, and product quality, innovative research and ideas need to be implemented.
Keywords:
Special issues and sections
Biomedical signal processing
Machine learning
Medical diagnosis
Brain modeling
Electroencephalography
Convolutional neural networks
Data models
Biomedical imaging
Image segmentation
Journal
IF:
6.8
Papers:
4.5K
Citations:
2.0W