Towards noninvasive and fast detection of Glycated hemoglobin levels based on ECG using convolutional neural networks with multisegments fusion and Varied-weight.
Jingzhen LiJingyi LuTobore IgbeYuhang LiuAbhishek KandwalLei WangJian ZhouZedong NiePublished in: Expert Syst. Appl. (2021)
Keyphrases
- convolutional neural networks
- false positives
- detection accuracy
- object detection
- multi modal fusion
- detection algorithm
- false alarms
- high levels
- data fusion
- detection rate
- automatic detection
- fusion methods
- levels of abstraction
- multi sensor
- convolutional network
- complex background
- data sets
- detection method
- computer vision
- neural network