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

Saehyuck Oh, Janghwan Jekal, Jia Liu, Jeehwan Kim, Jang Ung Park, Taeyoon Lee, Kyung In Jang

Research output: Contribution to journalReview articlepeer-review

22 Citations (Scopus)

Abstract

Bioelectronic 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.

Original languageEnglish
Article number2403562
JournalAdvanced Functional Materials
Volume34
Issue number41
DOIs
Publication statusPublished - 2024 Oct 8

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Advanced Functional Materials published by Wiley-VCH GmbH.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • General Chemistry
  • Biomaterials
  • General Materials Science
  • Condensed Matter Physics
  • Electrochemistry

Fingerprint

Dive into the research topics of 'Bioelectronic Implantable Devices for Physiological Signal Recording and Closed-Loop Neuromodulation'. Together they form a unique fingerprint.

Cite this