TY - GEN
T1 - Wireless Ionic sensor on microrobots for Medical Application
AU - Zhao, Jing
AU - Li, Zhongyi
AU - Li, Chunyang
AU - Zhang, Fanqing
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Health detection and early diagnosis of disease have become one of the most concerned topics. However, the existing medical detection equipment were limited by huge size or sensitivity, which were unable to satisfy growing demand. Therefore, the microrobot combined with sensors can be a new route to realize the in-situ detection with more sensitivity and precision in real time due to the tiny scale and flexible movement. Here we introduced a micro wireless ionic sensor based on LC resonant circuit, which required no on-board power and can be easily fabricated on the microrobot to realize the real-time wireless sensing signal transmission. Further, the sensor fabricated on microrobot can realize remote sensing based on changes of the local imaging signal during navigation in magnetic field-based medical imaging equipment such as MRI or MPI. In addition, the non-invasive implantation of sensors on microrobots will provide more possible applications for future in vivo monitoring technology.
AB - Health detection and early diagnosis of disease have become one of the most concerned topics. However, the existing medical detection equipment were limited by huge size or sensitivity, which were unable to satisfy growing demand. Therefore, the microrobot combined with sensors can be a new route to realize the in-situ detection with more sensitivity and precision in real time due to the tiny scale and flexible movement. Here we introduced a micro wireless ionic sensor based on LC resonant circuit, which required no on-board power and can be easily fabricated on the microrobot to realize the real-time wireless sensing signal transmission. Further, the sensor fabricated on microrobot can realize remote sensing based on changes of the local imaging signal during navigation in magnetic field-based medical imaging equipment such as MRI or MPI. In addition, the non-invasive implantation of sensors on microrobots will provide more possible applications for future in vivo monitoring technology.
UR - http://www.scopus.com/inward/record.url?scp=85138671941&partnerID=8YFLogxK
U2 - 10.1109/RCAR54675.2022.9872232
DO - 10.1109/RCAR54675.2022.9872232
M3 - Conference contribution
AN - SCOPUS:85138671941
T3 - 2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022
SP - 39
EP - 44
BT - 2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022
Y2 - 17 July 2022 through 22 July 2022
ER -