Bioelectronic Implantable Devices for Physiological Signal Recording and Closed‐Loop Neuromodulation

Author:

Oh Saehyuck12,Jekal Janghwan12,Liu Jia3,Kim Jeehwan4,Park Jang‐Ung5,Lee Taeyoon6,Jang Kyung‐In12789ORCID

Affiliation:

1. Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu 42988 Republic of Korea

2. Brain Engineering Convergence Research Center Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea

3. John A. Paulson School of Engineering and Applied Sciences Harvard University Boston MA 02134 USA

4. Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA 02139 USA

5. Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea

6. School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea

7. Korea Brain Research Institute (KBRI) Daegu 41062 Republic of Korea

8. Artificial Intelligence Major in Department of Interdisciplinary Studies Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea

9. Institute of Next‐generation Semiconductor Convergence Technology Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea

Abstract

AbstractBioelectronic implantable devices are adept at facilitating continuous monitoring of health and enabling the early detection of diseases, offering insights into the physiological conditions of various bodily organs. Furthermore, these advanced systems have therapeutic capabilities in neuromodulation, demonstrating their efficacy in addressing diverse medical conditions through the precise delivery of stimuli directly to specific targets. This comprehensive review explores developments and applications of bioelectronic devices within the biomedical field. Special emphasis is placed on the evolution of closed‐loop systems, which stand out for their dynamic treatment adjustments based on real‐time physiological feedback. The integration of Artificial Intelligence (AI) and edge computing technologies is discussed, which significantly bolster the diagnostic and therapeutic functions of these devices. By addressing elemental analyses, current challenges, and future directions in implantable devices, the review aims to guide the pathway for advances in bioelectronic devices.

Funder

Naver Corporation

Ministry of Science and ICT, South Korea

Publisher

Wiley

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