Engineering Implantable Bioelectronics for Electrophysiological Monitoring in Preclinical Animal Models
Source abstract
Abstract
Implantable bioelectronics capable of electrophysiological monitoring intimately interfacing with biological tissue have provided massive information for profound understanding of biological systems. However, their invasive nature induces a potential risk of acute tissue damage, limiting accurate and chronic monitoring of electrophysiological signals. To address this issue, advanced studies have developed effective strategies to engineer the soft, flexible device using preclinical animal models. In addition, the optional but innovative approaches to improve the device's function have been also explored. Herein, these strategies satisfying essential and supplemental requirements for engineering implantable bioelectronics are summarized. Three types of implantable devices, classified by their structural designs, are introduced to describe the approaches using suitable strategies for their specific purpose. In conclusion, the further advancement of engineering implantable bioelectronics addresses the remaining challenges. Such advancements have the potential to contribute to enhanced functionality, encouraging a more delicate understanding of the physiology of biological systems and further broadening the applicability of implantable bioelectronics in the field of biomedical technology.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Neuroscience and Neural Engineering · Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
Center for Nanomedicine Institute for Basic Science (IBS) Seoul 03722 Republic of Korea
John A. Paulson School of Engineering and Applied Sciences Harvard University Boston 02134 MA USA
Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea
Brain Engineering Convergence Research Center Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea
Department of Electrical Engineering and Computer Science Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea
Korea Brain Research Institute Daegu 41062 Republic of Korea
Artificial Intelligence Major in Department of Interdisciplinary Studies Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea
Department of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea
Department of Neurosurgery Yonsei University College of Medicine Seoul 03722 Republic of Korea
Graduate Program of Nano Biomedical Engineering (NanoBME) Advanced Science Institute Yonsei University Seoul 03722 Republic of Korea
Funding
Ministry of Trade, Industry and Energy
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