The “Bioelectronics” Section of Electronics (ISSN: 2079-9292) comprehensively covers topics at the intersection of biology and electronics. It serves as a key platform for researchers, engineers, and students from both academic and industrial backgrounds to share innovative ideas and robust research on theoretical and practical aspects of bioelectronics.

This Section focuses on the design, development, and application of bioelectronic systems, with emphasis on both theoretical advances and practical applications in areas such as biosensors, wearable/implantable electronics, neural interfaces, lab-on-a-chip devices, and AI-integrated health technologies. Initially rooted in the convergence of electronics and biology, it now supports a wide range of sectors including healthcare, biomedical research, disease diagnostics, rehabilitation robotics, and personalized medicine.

You have free and unlimited access to the full texts of all the open access articles published in our journal. We welcome you to read our most highly cited papers published in 2024 below:

1. “FDA-Approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices: An Updated Landscape”
by Geeta Joshi, Aditi Jain, Shalini Reddy Araveeti, Sabina Adhikari, Harshit Garg and Mukund Bhandari
Electronics 2024, 13(3), 498; https://doi.org/10.3390/electronics13030498
Available online: https://www.mdpi.com/2079-9292/13/3/498

2. “Development of Non-Invasive Ventilator for Homecare and Patient Monitoring System”
by Michele Menniti, Filippo Laganà, Giuseppe Oliva, Maria Bianco, Antonino S. Fiorillo and Salvatore A. Pullano
Electronics 2024, 13(4), 790; https://doi.org/10.3390/electronics13040790
Available online: https://www.mdpi.com/2079-9292/13/4/790

3. “A Method for Ocular Disease Diagnosis through Visual Prediction Explainability”
by Antonella Santone, Mario Cesarelli, Emanuella Colasuonno, Vitoantonio Bevilacqua and Francesco Mercaldo
Electronics 2024, 13(14), 2706; https://doi.org/10.3390/electronics13142706
Available online: https://www.mdpi.com/2079-9292/13/14/2706

4. “Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence”
by Mekhla Sarkar, Tsong-Hai Lee and Prasan Kumar Sahoo
Electronics 2024, 13(12), 2309; https://doi.org/10.3390/electronics13122309
Available online: https://www.mdpi.com/2079-9292/13/12/2309

5. “Automated Left Ventricle Segmentation in Echocardiography Using YOLO: A Deep Learning Approach for Enhanced Cardiac Function Assessment”
by Madankumar Balasubramani, Chih-Wei Sung, Mu-Yang Hsieh, Edward Pei-Chuan Huang, Jiann-Shing Shieh and Maysam F. Abbod
Electronics 2024, 13(13), 2587; https://doi.org/10.3390/electronics13132587
Available online: https://www.mdpi.com/2079-9292/13/13/2587

6. “Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI”
by Vishnu Pendyala and Hyungkyun Kim
Electronics 2024, 13(6), 1025; https://doi.org/10.3390/electronics13061025
Available online: https://www.mdpi.com/2079-9292/13/6/1025

7. “Secure and Efficient Federated Learning Schemes for Healthcare Systems”
by Cheng Song, Zhichao Wang, Weiping Peng and Nannan Yang
Electronics 2024, 13(13), 2620; https://doi.org/10.3390/electronics13132620
Available online: https://www.mdpi.com/2079-9292/13/13/2620

8. “The Role of Machine Learning in Advanced Biometric Systems”
by Milkias Ghilom and Shahram Latifi
Electronics 2024, 13(13), 2667; https://doi.org/10.3390/electronics13132667
Available online: https://www.mdpi.com/2079-9292/13/13/2667

9. “Enhancing Motor Imagery Electroencephalography Classification with a Correlation-Optimized Weighted Stacking Ensemble Model”
by Hossein Ahmadi and Luca Mesin
Electronics 2024, 13(6), 1033; https://doi.org/10.3390/electronics13061033
Available online: https://www.mdpi.com/2079-9292/13/6/1033

10. “LMA-EEGNet: A Lightweight Multi-Attention Network for Neonatal Seizure Detection Using EEG signals”
by Weicheng Zhou, Wei Zheng, Youbing Feng and Xiaolong Li
Electronics 2024, 13(12), 2354; https://doi.org/10.3390/electronics13122354
Available online: https://www.mdpi.com/2079-9292/13/12/2354