TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare
Published in IEEE COMPSAC 2025, 2025
This paper proposes TransConv-DDPM, a transformer-convolution hybrid diffusion model designed to generate high-quality synthetic time-series data for healthcare analytics. The model improves diversity and realism while preserving temporal consistency, enabling robust downstream tasks like fall detection and activity recognition.
Recommended citation: Kabir, Md Shahriar, Sana Alamgeer, Minakshi Debnath, and Anne H. H. Ngu. (2025). "TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare." IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 866–875.
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