Recent Advances in Nanomaterial-Based Biosignal Sensors.

Autor: Kim M; Applied Nano and Thermal Science Lab, Department of Mechanical Engineering, Seoul National University, Seoul, 08826, Republic of Korea., Hong S; Applied Nano and Thermal Science Lab, Department of Mechanical Engineering, Seoul National University, Seoul, 08826, Republic of Korea., Khan R; Soft Energy Systems and Laser Applications Laboratory, School of Mechanical Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea., Park JJ; Applied Nano and Thermal Science Lab, Department of Mechanical Engineering, Seoul National University, Seoul, 08826, Republic of Korea., In JB; Soft Energy Systems and Laser Applications Laboratory, School of Mechanical Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.; Department of Intelligent Energy and Industry, Chung-Ang University, Seoul, 06974, Republic of Korea., Ko SH; Applied Nano and Thermal Science Lab, Department of Mechanical Engineering, Seoul National University, Seoul, 08826, Republic of Korea.; Institute of Engineering Research / Institute of Advanced Machines and Design, Seoul National University, Seoul, 08826, Republic of Korea.
Jazyk: angličtina
Zdroj: Small (Weinheim an der Bergstrasse, Germany) [Small] 2024 Nov 28, pp. e2405301. Date of Electronic Publication: 2024 Nov 28.
DOI: 10.1002/smll.202405301
Abstrakt: Recent research for medical fields, robotics, and wearable electronics aims to utilize biosignal sensors to gather bio-originated information and generate new values such as evaluating user well-being, predicting behavioral patterns, and supporting disease diagnosis and prevention. Notably, most biosignal sensors are designed for body placement to directly acquire signals, and the incorporation of nanomaterials such as metal-based nanoparticles or nanowires, carbon-based or polymer-based nanomaterials-offering stretchability, high surface-to-volume ratio, and tunability for various properties-enhances their adaptability for such applications. This review categorizes nanomaterial-based biosignal sensors into three types and analyzes them: 1) biophysical sensors that detect deformation such as folding, stretching, and even pulse, 2) bioelectric sensors that capture electric signal originating from human body such as heart and nerves, and 3) biochemical sensors that catch signals from bio-originated fluids such as sweat, saliva and blood. Then, limitations and improvements to nanomaterial-based biosignal sensors is depicted. Lastly, it is highlighted on deep learning-based signal processing and human-machine interface applications, which can enhance the potential of biosignal sensors. Through this paper, it is aim to provide an understanding of nanomaterial-based biosignal sensors, outline the current state of the technology, discuss the challenges that be addressed, and suggest directions for development.
(© 2024 Wiley‐VCH GmbH.)
Databáze: MEDLINE
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