Keywords
Biomedical signal detection
Application strategies
Submitted : 2025-06-03
Accepted : 2025-06-18
Published : 2025-07-03
Abstract
This paper deeply explores oversampling technology and its applications in biomedical signal detection. It first expounds on the significance of oversampling technology in biomedical signal detection, and then analyzes the application strategies of oversampling technology in this field. On this basis, it details the specific applications of oversampling technology in electrophysiological signal detection, biomedical imaging signal processing, and other biomedical signal detections, and verifies its effectiveness through practical case analysis, aiming to provide certain references for relevant researchers.
References
Li J, Wang B, 2025, An Oversampling Method for Imbalanced Data Combining Fuzzy Clustering and Ensemble Learning. Computer Technology and Development, 2025: 1–10.
Zhao X, He J, 2025, An Adaptive Oversampling Method Based on Maximum Safe Neighbors and Local Density. Journal of Electronics and Information Technology, 47(4): 1140–1149. doi: 10.11999/JEIT240441.
Chen S, Huo Y, Zang Y, et al., 2025, Preparation of Organic Electrochemical Transistors and Their Synapse-like Performance Research: A Comprehensive Experiment in Biomedical Engineering for Undergraduates. Beijing Biomedical Engineering, 44(2): 186–191.
Liu S, Wang S, Han B, 2025, Applications of Chitosan-based Intelligent Hydrogels in the Biomedical Field. Chinese Journal of Marine Drugs, 44(2): 81–90.
Li T, Qi X, Zhang D, et al., 2025, Expression of the TTK Gene in Eyelid Basal Cell Carcinoma and Its Influence on the Biological Behaviors of Malignant Tumor Cells. Recent Advances in Ophthalmology, 45(4): 280–285.
Ma J, Shen D, 2025, The Founding Dean of the School of Biomedical Engineering at ShanghaiTech University: China Has a Leading Edge in the Landing and Application of AI in Healthcare. China Business Herald, 2025(5).
Requirements for the Use of Research Resource Identification Codes (RRIDs) in Biomedical Journals and Relevant Descriptions in Papers, 2025, Chinese Journal of Tissue Engineering Research, 29(30): 6379.
Li S, Zhao C, Li Z, 2025, A Low-Sampling-Rate Timing Recovery Algorithm for Low-Resolution Millimeter-Wave Communication Systems. Telecommunication Engineering, 65(3): 437–444.
Yang Y, 2025, Research on Oversampling Methods for Imbalanced Data Based on K-means. Information Technology and Informatization, (3): 143–146.
Liu X, Wang S, 2025, Research on Random Forest Intrusion Detection Based on RWO-ADASYN Oversampling. Journal of Shaoyang University (Natural Science Edition), 22(1): 60–68.
Leng Q, Li Z, 2025, A Synthetic Oversampling Method Based on the Density-Peaks Fast Clustering Algorithm. Journal of Frontiers of Computer Science and Technology, 2025: 1–15.
Huang Z, 2024, Design of a Noise-Shaping SAR ADC for Biomedical Signal Processing, thesis, Guilin University of Electronic Technology.
Luo D, 2023, A Reconfigurable Noise-Shaping SAR ADC for Biomedical Signal Processing, thesis, Guilin University of Electronic Technology.
Lu J, 2021, Design and Distributed Implementation of Non-Uniform and M-Channel Oversampled Graph Filter Banks, thesis, Guilin University of Electronic Technology.
Kong L, 2019, Research and Design of Sigma-Delta Modulators for Biomedical Applications, thesis, Guilin University of Electronic Technology.