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Health Technology

University of Turku » Faculty of Technology » Department of Computing

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A Cascading Multi-Stage Deep Learning Approach for Detecting Chagas Disease from ElectrocardiogramsAccuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis (2025)
Accelerating Image Processing Using Reduced Precision Calculation Convolution EnginesA comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability (2023)
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2022)
Acute pain intensity monitoring with the classification of multiple physiological parameters (2022)
2019
(2019)
Adaptive Autocorrelation Based Heart Rate Estimation from Single-Axis Seismocardiogram: A Comprehensive Benchmark Across Six Diverse Datasets (2024)
Adaptive risk prediction system with incremental and transfer learning2026
(2021)
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)