Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system
The brain spatula has been an essential neurosurgical instrument since the early 20th century, when medical advancements enabled surgeons to operate deep intracranially for the first time. Monitoring the brain retraction pressure, especially at an early stage of the intradural procedure, is useful i...
Saved in:
Main Authors: | , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166399 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-166399 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1663992023-04-24T06:49:38Z Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system Wang, Yongqing Zhang, Chengjun Meng, Xianglin Zhang, Qisheng Li, Haoyu Chen, Feng Yang, Qing Zhang, Weiqiang Zheng, Yuanjin Chen, Sicheng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Brain Spatula Flexible and Compact Electronics The brain spatula has been an essential neurosurgical instrument since the early 20th century, when medical advancements enabled surgeons to operate deep intracranially for the first time. Monitoring the brain retraction pressure, especially at an early stage of the intradural procedure, is useful in preventing brain damage or postoperative cerebral swelling. Unfortunately, there is still a lack of effective methods that meet the demand for quantitative and real-time evaluation of applied pressure on brain tissue. In this study, a compact and wireless sensing system, encapsulated by soft biocompatible materials, for quantitatively assessing the pressure between brain tissue and a spatula, is proposed. The absence of physical tethers and the ion gel-based construction of the micro-structured sensor represent key defining features, resulting in high measurement accuracy of 1.0/N with reliable water-proof capabilities. Moreover, these sensors can be linked to a server network or mobile client for possible brain damage alerts as important safety addition. With our devices, detailed pressure data on retracting operations can be collected, analyzed, and stored for medical assistance as well as to improve surgery quality. 2023-04-24T06:49:38Z 2023-04-24T06:49:38Z 2023 Journal Article Wang, Y., Zhang, C., Meng, X., Zhang, Q., Li, H., Chen, F., Yang, Q., Zhang, W., Zheng, Y. & Chen, S. (2023). Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system. Advanced Functional Materials, 33(9), 2210596-. https://dx.doi.org/10.1002/adfm.202210596 1616-301X https://hdl.handle.net/10356/166399 10.1002/adfm.202210596 2-s2.0-85145023264 9 33 2210596 en Advanced Functional Materials © 2022 Wiley-VCH GmbH. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Electrical and electronic engineering Brain Spatula Flexible and Compact Electronics |
spellingShingle |
Engineering::Electrical and electronic engineering Brain Spatula Flexible and Compact Electronics Wang, Yongqing Zhang, Chengjun Meng, Xianglin Zhang, Qisheng Li, Haoyu Chen, Feng Yang, Qing Zhang, Weiqiang Zheng, Yuanjin Chen, Sicheng Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system |
description |
The brain spatula has been an essential neurosurgical instrument since the early 20th century, when medical advancements enabled surgeons to operate deep intracranially for the first time. Monitoring the brain retraction pressure, especially at an early stage of the intradural procedure, is useful in preventing brain damage or postoperative cerebral swelling. Unfortunately, there is still a lack of effective methods that meet the demand for quantitative and real-time evaluation of applied pressure on brain tissue. In this study, a compact and wireless sensing system, encapsulated by soft biocompatible materials, for quantitatively assessing the pressure between brain tissue and a spatula, is proposed. The absence of physical tethers and the ion gel-based construction of the micro-structured sensor represent key defining features, resulting in high measurement accuracy of 1.0/N with reliable water-proof capabilities. Moreover, these sensors can be linked to a server network or mobile client for possible brain damage alerts as important safety addition. With our devices, detailed pressure data on retracting operations can be collected, analyzed, and stored for medical assistance as well as to improve surgery quality. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Wang, Yongqing Zhang, Chengjun Meng, Xianglin Zhang, Qisheng Li, Haoyu Chen, Feng Yang, Qing Zhang, Weiqiang Zheng, Yuanjin Chen, Sicheng |
format |
Article |
author |
Wang, Yongqing Zhang, Chengjun Meng, Xianglin Zhang, Qisheng Li, Haoyu Chen, Feng Yang, Qing Zhang, Weiqiang Zheng, Yuanjin Chen, Sicheng |
author_sort |
Wang, Yongqing |
title |
Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system |
title_short |
Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system |
title_full |
Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system |
title_fullStr |
Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system |
title_full_unstemmed |
Quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system |
title_sort |
quantitative and real-time evaluation of pressure on brain spatula with wireless and compact sensing system |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/166399 |
_version_ |
1764208083144278016 |