Samsung (Brazil)

Recent papers from Samsung (Brazil)

1. A convolutional autoencoder approach for high-density surface electromyogram decompositionBiomedical Signal Processing and Control · 2026
2. Utilization of Guarana Agroindustrial Waste as a Source of Antimicrobial Compounds for Human Pathogenic Bacterial Removal in Wastewater SampleBioTech · 2026
3. Predicting Health-Related Physical Fitness From Smartwatch DataIEEE Sensors Letters · 2025
4. An integrated platform for 2‐D and 3‐D optical and electrical mapping of arrhythmias in Langendorff‐perfused rabbit heartsThe Journal of Physiology · 2025
5. Highly Sensitive Pressure Transducer for Measuring Arterial Pulse Wave Velocity Based on Giant Magneto-Impedance SensorsSensors · 2025
6. Synergistic Neuroprotective and Immunomodulatory Effects of Cocoa Seed Husk and Guarana Extract: A Nutraceutical Approach for Parkinson’s Disease ManagementAntioxidants · 2025
7. TV 3.0: An OverviewIEEE Transactions on Broadcasting · 2025
8. 2024 Position Statement on the Use of Different Diagnostic Methods for Sleep Disorders in Adults – Brazilian Sleep AssociationSleep Science · 2024
9. MIMIC-BP: A curated dataset for blood pressure estimationSHILAP Revista de lepidopterología · 2024
10. Multi-domain Estimation of Health-Related Physical Fitness from Smartwatches2024
11. Wearable-oriented Support for Interpretation of Behavioural Effects on Sleep2024
12. Combining Pruning Strategies to Generate Efficient Inpainting Networks2024
13. Photoplethysmography Signal Quality Assessment using Attentive-CNN Models2024
14. Ultra-Wideband Radar-Based Sleep Stage Classification in Smartphone Using an End-to-End Deep LearningIEEE Access · 2024
15. An Open Educational Resource Supporting Mutation Testing Teaching2023
16. Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch DataSensors · 2023
17. A Study on the Influence of Sensors in Frequency and Time Domains on Context RecognitionSensors · 2023
18. Towards Low-Power Heart Rate Estimation Based on User’s Demographics and Activity Level For Wearables2023
19. Toward characterizing cardiovascular fitness using machine learning based on unobtrusive dataPLoS ONE · 2023
20. Learning to Estimate Heart Rate From Accelerometer and User's Demographics During Physical ExercisesIEEE Journal of Biomedical and Health Informatics · 2023