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Adv. Healthc. Mater., Feb 16 2025, | https://doi.org/10.1002/adhm.202404680
Non-Surgical, In-Stent Membrane Bioelectronics for Long-Term Intracranial Pressure Monitoring
Jimin Lee 1,2, Allison Bateman 1,2, Mi Hyeon Kim 3,4, Bruno Rigo 2,5, Hodam Kim 1,6, Jaeho Lee 1,2, Yun Hyeok Choi 7, Robert Herbert 8, Deok Hee Lee 3, Woon-Hong Yeo 1,2,9,10
1George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
2Wearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
3Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
4Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
5School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
6Biomedical Engineering and Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
7Department of Neurosurgery, Haeundae Paik Hospital, 875, Haeun-daero, Haeundae-gu, Busan, 48108, Republic of Korea.
8Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
9Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, 30332, USA.
10Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
J.L., A.B., and M.H.K. contributed equally to this work.
Corresponding Authors: Deok Hee Lee, Woon-Hong Yeo
1George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
2Wearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
3Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
4Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
5School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
6Biomedical Engineering and Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
7Department of Neurosurgery, Haeundae Paik Hospital, 875, Haeun-daero, Haeundae-gu, Busan, 48108, Republic of Korea.
8Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
9Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, 30332, USA.
10Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
J.L., A.B., and M.H.K. contributed equally to this work.
Corresponding Authors: Deok Hee Lee, Woon-Hong Yeo
Abstract
Traditional intracranial pressure (ICP) monitoring methods, using intraventricular catheters, face significant limitations, including high invasiveness, discrete data, calibration complexities, and drift issues, which hinder long-term and stable monitoring. Here, a non-surgical, in-stent membrane bioelectronic system is presented for continuous and reliable ICP monitoring. This platform integrates a capacitive thin-film sensor with a stent, enabling precise real-time detection of pressure fluctuations directly within the dural venous sinus without requiring skull penetration or frequent recalibration. The sensor demonstrates a high sensitivity of 0.052%/mmHg and a broad, readable pressure range of 3-30 mmHg while maintaining calibration-free and drift-free performance. A series of in vivo studies highlight the system's superior sensitivity, rapid sampling rate, and long-term stability compared to conventional microcatheters. Statistical analyses reveal a strong agreement between the device and clinical reference, underscoring its potential to revolutionize ICP monitoring. These advancements pave the way for broader clinical applications, minimizing complications and improving patient outcomes in neurocritical care.
논문정보
- Research article
- 2025년 02월 (BRIC 등록일 2025-02-18)
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