Yangyang Zhao
Moore4Medical Project yangyang.zhao@utu.fi |
Digital Health Technology Group
- Assessing the impact of signal quality on heart rate detection from long-term clinical wrist PPG under varying cardiac rhythms (2026)
- Biomedical Signal Processing and Control
- A Cascading Multi-Stage Deep Learning Approach for Detecting Chagas Disease from Electrocardiograms (2025)
- Computing in Cardiology
- Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment (2025)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Motion-Robust Multimodal Fusion of PPG and Accelerometer Signals for Three-Class Heart Rhythm Classification (2025)
- ACM international joint conference on pervasive and ubiquitous computing
- Validation of an MEMS-Based Pressure Sensor System for Atrial Fibrillation Detection from Wrist and Finger (2025)
- IEEE Sensors Journal
UTU Research Portal