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Materials and Structural Designs toward Motion Artifact-Free Bioelectronics.
Park, Byeonghak; Jeong, Chanho; Ok, Jehyung; Kim, Tae-Il.
Affiliation
  • Park B; School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea.
  • Jeong C; School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea.
  • Ok J; School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea.
  • Kim TI; School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea.
Chem Rev ; 124(10): 6148-6197, 2024 May 22.
Article in En | MEDLINE | ID: mdl-38690686
ABSTRACT
Bioelectronics encompassing electronic components and circuits for accessing human information play a vital role in real-time and continuous monitoring of biophysiological signals of electrophysiology, mechanical physiology, and electrochemical physiology. However, mechanical noise, particularly motion artifacts, poses a significant challenge in accurately detecting and analyzing target signals. While software-based "postprocessing" methods and signal filtering techniques have been widely employed, challenges such as signal distortion, major requirement of accurate models for classification, power consumption, and data delay inevitably persist. This review presents an overview of noise reduction strategies in bioelectronics, focusing on reducing motion artifacts and improving the signal-to-noise ratio through hardware-based approaches such as "preprocessing". One of the main stress-avoiding strategies is reducing elastic mechanical energies applied to bioelectronics to prevent stress-induced motion artifacts. Various approaches including strain-compliance, strain-resistance, and stress-damping techniques using unique materials and structures have been explored. Future research should optimize materials and structure designs, establish stable processes and measurement methods, and develop techniques for selectively separating and processing overlapping noises. Ultimately, these advancements will contribute to the development of more reliable and effective bioelectronics for healthcare monitoring and diagnostics.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artifacts Limits: Humans Language: En Journal: Chem Rev Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artifacts Limits: Humans Language: En Journal: Chem Rev Year: 2024 Document type: Article