Biomedical Engineering Systems and Technologies

Biomedical Engineering Systems and Technologies

14th International Joint Conference, BIOSTEC 2021, Virtual Event, February 11-13, 2021, Revised Selected Papers

Lorenz, Ronny; Gehin, Claudine; Fred, Ana; Douplik, Alexandre; Pesquita, Catia; Wacogne, Bruno; Bracken, Bethany; Gamboa, Hugo

Springer International Publishing AG

01/2023

259

Mole

Inglês

9783031206634

15 a 20 dias

433

Descrição não disponível.
Systematic Design Procedure of CMOS Microelectrode-Arrays based on Analog Signal Processing Noise Figure.- LigityScore: A CNN-based Method for Binding Affinity Predictions.- Chaotic Changes in Fingertip Pulse Waves and Psychological Effects of Reminiscence Therapy Intervention.- Determination of Charge Transfer Resistance from Randles Circuit Spectra using Elliptical Fitting.- Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios.- Evaluating the Performance of Diadochokinetic Tests in CharacterizingParkinson's Disease Hypokinetic Dysarthria.- Technology-based Education and Training System for Nursing Professionals.- Evaluation of Algorithms to Measure a Psychophysical Threshold using Digital Applications.- Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization.- Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attentionde deficit/Hyperactivity Disorder.- Requirements for Implementing Digital Health Terminology Standards in Uganda's Electronic Medical Records-based Health Information Systems.- Multi-class Detection of Arrhythmia Conditions through the Combination of Compressed Sensing and Machine Learning.- DL-assisted ROP Screening Technique.
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artificial intelligence;communication systems;computer networks;computer vision;Computer-Aided Design (CAD);fuzzy sets;Human-Computer Interaction (HCI);image analysis;image processing;image quality;image reconstruction;image segmentation;machine learning;matrix algebra;network protocols;neural networks;pattern recognition;sensors;signal processing;user interfaces