Currently, I am in the joint training program between Northeastern University School of Medicine and the University of Dundee in the UK, and I am a student majoring in Biomedical Engineering. Biomedical engineering is a highly cutting-edge and interdisciplinary field that integrates knowledge systems from multiple disciplines such as medicine, biology, and engineering. It is committed to tackling complex challenges in the healthcare field and contributing to the cause of human health. My research focuses on medical signal and image analysis, and utilizes artificial intelligence algorithms to carry out computer-aided diagnosis and treatment decision-making related work. The research projects I have participated in mainly cover two directions. One is the construction of an electrocardiogram signal classification model and the deployment of embedded devices. At present, I am committed to building an open source sharing platform aimed at unifying evaluation standards, building the industry's largest benchmark, and promoting the standardization and normalization of the field of electrocardiogram signal analysis. Secondly, it is to explore the application of large-scale models such as SAM and CLIP in the field of medical imaging, including image segmentation and cross disciplinary research with genomics. By combining advanced artificial intelligence technology with medical image analysis, we expect to make breakthrough progress in precision medicine and personalized treatment, providing stronger technical support for medical diagnosis and treatment.

IrregularConv-ECG: A Domain-Generalized Approach Combining Asymmetric Convolution and Dynamic Data Augmentation for Wearable ECG Analysis
Xidong Wu
Computer Methods and Programs in Biomedicine IF 4.9 TOP
[In Writing]


Personalized low rank factor arrhythmia detection based on irregular perception
Xidong Wu
Engineering Applications of Artificial Intelligence IF 7.5 TOP
[In Writing]


PhysioSAug: A novel data augmentation method based on diffusion probabilistic model for disease classification using physiological signals
Xidong Wu
Engineering Applications of Artificial Intelligence IF 7.5 TOP
[In Writing]


SAM-adapter for mutil organ segmentation
Xidong Wu
International Conference on Medical Image Computing and Computer Assisted Intervention(MICCAI)
[SUBMITTED]


Adaptive Aliasing Denoising Module for Noise-Robust Time Series Classification
Xidong Wu
Pattern Recognition IF 7.5 TOP
[In Writing]


MSCGN: Multiscale complementary gating network for time series classification
Xidong Wu, MingKe Yan, Haotian Tan, Dongchen Wu, Liping Xie
Biomedical Signal Processing and Control IF 4.9
[SUBMITTED]


Element-wise Product Enhanced Lightweight Model for Efficient ECG Arrhythmia Detection on Embedded Devices
MingKe Yan, Haotian Tang, Xidong Wu, Hongkai Lai, Yang Zhang, Hanyu Cui, Liping Xie
Computers and Electrical Engineering IF 4.1
[SUBMITTED]


An open-set atrial fibrillation recognition algorithm based on entropy perception
Xidong Wu
[In writing]


Multiscale feature enhanced gating network for atrial fibrillation detection
Xidong Wu, Mingke Yan, Renqiao Wang, Liping Xie
Computer Methods and Programs in Biomedicine IF 4.9 TOP
[PDF] [BibTeX]


Predicting the mechanism of pyramidal neurons in synaptic integration by high-frequency electrical stimulation and patch clamp
Xidong Wu
The International Conference on Modern Medicine and Global Health (ICMMGH)
[PDF] [BibTeX]