A5100721273- ECG Monitoring and Analysis
- Blind Source Separation Techniques
- EEG and Brain-Computer Interfaces
- Fault Detection and Control Systems
- Educational Technology and Assessment
- AI in cancer detection
- Electrostatic Discharge in Electronics
- Immune Cell Function and Interaction
- Advancements in Semiconductor Devices and Circuit Design
- NF-κB Signaling Pathways
- Intelligent Tutoring Systems and Adaptive Learning
- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Screening and Detection
- Genomics, phytochemicals, and oxidative stress
- Online Learning and Analytics
- Integrated Circuits and Semiconductor Failure Analysis
Nanjing University of Chinese Medicine
2020-2024
Fujian Normal University
2024
Shanghai University of Traditional Chinese Medicine
2021
Traditional Chinese Medicine Hospital of Kunshan
2021
University of Wisconsin–Madison
2002-2003
University of Wisconsin System
1992
The authors have developed an adaptive matched filtering algorithm based upon artificial neural network (ANN) for QRS detection. They use ANN whitening filter to model the lower frequencies of electrocardiogram (ECG) which are inherently nonlinear and nonstationary. residual signal contains mostly higher frequency complex energy is then passed through a linear detect location complex. adaptively update template from detected in ECG itself so that can be customized individual subject. This...
Colorectal cancer remains a leading cause of cancer-related deaths worldwide, with early detection and removal polyps being critical in preventing disease progression. Automated polyp segmentation, particularly colonoscopy images, is challenging task due to the variability appearance low contrast between surrounding tissues. In this work, we propose an edge-enhanced network (EENet) designed address these challenges by integrating two novel modules: covariance attention (CEEA) cross-scale...
We developed a QRS detection algorithm which uses fuzzy neural network (FNN) to process lead II recordings of the ECG. trained and tested our using MIT/BIH arrhythmia database, compared results existing algorithms. For tapes 100, 105 108, FNN reduced total number combined false-positive false-negative detections from 174 44.
The application of a multilayer perceptron artificial neural network model (ANN) to detect the QRS complex in ECG (electrocardiography) signal processing is presented. objective improve heart beat detection rate presence severe background noise. An adaptively tuned structure used nonlinear, time-varying noise removed by subtracting predicted from original signal. Preliminary experimental results indicate that ANN based approach consistently outperforms conventional bandpass filtering and...
With the rapid development of Internet technology, online learning and education are becoming more popular. Intelligent diagnosis has become an effective means to guarantee quality learning, a research hotspot in direction informatization. Concept map is intuitive visual tool that can discover concepts poorly mastered by students, provide useful clues for identifying disabilities students. This paper proposed method constructed based on concept map. First, it groups learners, then uses...