The “Bioelectronics” Section of Electronics (ISSN: 2079-9292) is dedicated to publishing high-quality articles that describe the most significant and cutting-edge research in all areas of bioelectronics sciences.

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 2022 below:

1. “Depth Estimation Method for Monocular Camera Defocus Images in Microscopic Scenes”
by Yuxi Ban, Mingzhe Liu, Peng Wu, Bo Yang, Shan Liu, Lirong Yin and Wenfeng Zheng
Electronics 2022, 11(13), 2012; https://doi.org/10.3390/electronics11132012
Available online: https://www.mdpi.com/2079-9292/11/13/2012

2. “Improved Image Fusion Method Based on Sparse Decomposition”
by Xiaomei Qin, Yuxi Ban, Peng Wu, Bo Yang, Shan Liu, Lirong Yin, Mingzhe Liu and Wenfeng Zheng
Electronics 2022, 11(15), 2321; https://doi.org/10.3390/electronics11152321
Available online: https://www.mdpi.com/2079-9292/11/15/2321

3. “Wearable Circular Polarized Antennas for Health Care, 5G, Energy Harvesting, and IoT Systems”
by Albert Sabban
Electronics 2022, 11(3), 427; https://doi.org/10.3390/electronics11030427
Available online: https://www.mdpi.com/2079-9292/11/3/427

4. “A Flexible Lightweight Triboelectric Nanogenerator for Protector and Scoring System in Taekwondo Competition Monitoring”
by Fengxin Sun, Yongsheng Zhu, Changjun Jia, Bowen Ouyang, Tianming Zhao, Caixia Li, Ning Ba, Xinxing Li, Song Chen, Tongtong Che and Yupeng Mao
Electronics 2022, 11(9), 1306; https://doi.org/10.3390/electronics11091306
Available online: https://www.mdpi.com/2079-9292/11/9/1306

5. “A Review of Deep Learning Methods for Compressed Sensing Image Reconstruction and Its Medical Applications”
by Yutong Xie and Quanzheng Li
Electronics 2022, 11(4), 586; https://doi.org/10.3390/electronics11040586
Available online: https://www.mdpi.com/2079-9292/11/4/586

6. “Methods for Continuous Blood Pressure Estimation Using Temporal Convolutional Neural Networks and Ensemble Empirical Mode Decomposition”
by Kai Zhou, Zhixiang Yin ,Yu Peng and Zhiliang Zeng
Electronics 2022, 11(9), 1378; https://doi.org/10.3390/electronics11091378
Available online: https://www.mdpi.com/2079-9292/11/9/1378

7. “Improving Cuff-Less Continuous Blood Pressure Estimation with Linear Regression Analysis”
by Valeria Figini, Sofia Galici, Daniele Russo, Ilenia Centonze, Monica Visintin and Guido Pagana
Electronics 2022, 11(9), 1442; https://doi.org/10.3390/electronics11091442
Available online: https://www.mdpi.com/2079-9292/11/9/1442

8. “How to Assess the Measurement Performance of Mobile/Wearable Point-of-Care Testing Devices? A Systematic Review Addressing Sweat Analysis”
by Sarah Tonello, Giulia Abate, Michela Borghetti, Nicola Francesco Lopomo, Mauro Serpelloni and Emilio Sardini
Electronics 2022, 11(5), 761; https://doi.org/10.3390/electronics11050761
Available online: https://www.mdpi.com/2079-9292/11/5/761

9. “A 1.8 V Low-Power Low-Noise High Tunable Gain TIA for CMOS Integrated Optoelectronic Biomedical Applications”
by Guido Di Patrizio Stanchieri, Andrea De Marcellis, Graziano Battisti, Marco Faccio, Elia Palange and Ulkuhan Guler
Electronics 2022, 11(8), 1271; https://doi.org/10.3390/electronics11081271
Available online: https://www.mdpi.com/2079-9292/11/8/1271

10. “Active Mask-Box Scoring R-CNN for Sonar Image Instance Segmentation”
by Fangjin Xu, Jianxing Huang, Jie Wu and Longyu Jiang
Electronics 2022, 11(13), 2048; https://doi.org/10.3390/electronics11132048
Available online: https://www.mdpi.com/2079-9292/11/13/2048