The primary focus of the “Bioelectronics” Section are topics that seek to utilize electronic knowledge and execution in the field of biology and medicine for health wellness with research efforts that cross disciplines, such as chemistry, life science, physics, electrical engineering, and materials science. Bioelectronic research works in a wide context, encompassing, for example, biosensors, bionics and biomaterials, DNA chips, lab-on-a-chip, innovative devices or advanced signal processes for the prevention, diagnosis, and treatment of physical and mental diseases, robotic devices for patient rehabilitation, bioelectromagnetics, artificial intelligence for improving health, conductive polymers, organic semiconductors, carbon nanotubes, graphene, wearable electronics, and implantable electronics, just to cite a few.

As they are published in an open access format, you have free and unlimited access to the full text of all the articles in our journal. We welcome you to read our most highly cited papers published in 2021:

1. “CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope”
by Dulari Bhatt et al.
Electronics 2021, 10(20), 2470; https://doi.org/10.3390/electronics10202470
Available online: https://www.mdpi.com/2079-9292/10/20/2470

2. “Automated Workers’ Ergonomic Risk Assessment in Manual Material Handling Using sEMG Wearable Sensors and Machine Learning”
by Srimantha E. Mudiyanselage et al.
Electronics 2021, 10(20), 2558; https://doi.org/10.3390/electronics10202558
Available online: https://www.mdpi.com/2079-9292/10/20/2558

3. “State-of-the-Art Optical Devices for Biomedical Sensing Applications—A Review”
by N. L. Kazanskiy et al.
Electronics 2021, 10(8), 973; https://doi.org/10.3390/electronics10080973
Available online: https://www.mdpi.com/2079-9292/10/8/973

4. “Multiclass ECG Signal Analysis Using Global Average-Based 2-D Convolutional Neural Network Modeling”
by Muhammad Wasimuddin et al.
Electronics 2021, 10(2), 170; https://doi.org/10.3390/electronics10020170
Available online: https://www.mdpi.com/2079-9292/10/2/170

5. “Integration and Applications of Fog Computing and Cloud Computing Based on the Internet of Things for Provision of Healthcare Services at Home”
by Muhammad Ijaz et al.
Electronics 2021, 10(9), 1077; https://doi.org/10.3390/electronics10091077
Available online: https://www.mdpi.com/2079-9292/10/9/1077

6. “An Overview of Wearable Piezoresistive and Inertial Sensors for Respiration Rate Monitoring”
by Roberto De Fazio et al.
Electronics 2021, 10(17), 2178; https://doi.org/10.3390/electronics10172178
Available online: https://www.mdpi.com/2079-9292/10/17/2178

7. “Generating Synthetic ECGs Using GANs for Anonymizing Healthcare Data”
by Esteban Piacentino et al.
Electronics 2021, 10(4), 389; https://doi.org/10.3390/electronics10040389
Available online: https://www.mdpi.com/2079-9292/10/4/389

8. “Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography”
by Imayanmosha Wahlang et al.
Electronics 2021, 10(4), 495; https://doi.org/10.3390/electronics10040495
Available online: https://www.mdpi.com/2079-9292/10/4/495

9. “Bone Metastasis Detection in the Chest and Pelvis from a Whole-Body Bone Scan Using Deep Learning and a Small Dataset”
by Da-Chuan Cheng et al.
Electronics 2021, 10(10), 1201; https://doi.org/10.3390/electronics10101201
Available online: https://www.mdpi.com/2079-9292/10/10/1201

10. “GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG Signals”
by Hui Wen Loh et al.
Electronics 2021, 10(14), 1740; https://doi.org/10.3390/electronics10141740
Available online: https://www.mdpi.com/2079-9292/10/14/1740