3 papers
cs.LG2025
Motion-Robust Multimodal Fusion of PPG and Accelerometer Signals for Three-Class Heart Rhythm Classification
Yangyang Zhao, Matti Kaisti, Olli Lahdenoja +1
Atrial fibrillation (AF) is a leading cause of stroke and mortality, particularly in elderly patients. Wrist-worn photoplethysmography (PPG) enables non-invasive, continuous rhythm…
eess.SP2025
Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment
Yangyang Zhao, Matti Kaisti, Olli Lahdenoja +10
With the growing application of deep learning in wearable devices, lightweight and efficient models are critical to address the computational constraints in resource-limited platfo…
cs.LG2024
Empirical investigation of multi-source cross-validation in clinical ECG classification
Tuija Leinonen, David Wong, Antti Vasankari +4
Traditionally, machine learning-based clinical prediction models have been trained and evaluated on patient data from a single source, such as a hospital. Cross-validation methods…