An ultrasensitive multimodal intracranial pressure biotelemetric system enabled by exceptional point and iontronics
The accurate monitoring of vital physiological parameters, exemplified by heart rate, respiratory rate, and intracranial pressure (ICP), is of paramount importance, particularly for managing severe cranial injuries. Despite the rapid development of implantable ICP sensing systems over the past decades, they still suffer from, for example, wire connection, low sensitivity, poor resolution, and the inability to monitor multiple variables simultaneously. Here, we propose an ultrasensitive multimodal biotelemetric system that amalgamates an iontronic pressure transducer with exceptional point (EP) operation for the monitoring of ICP signals. The proposed system can exhibit extraordinary performance regarding the detection of minuscule ICP fluctuation, demonstrated by the sensitivity of 115.95 kHz/mmHg and the sensing resolution down to 0.003 mmHg. Our system excels not only in the accurate quantification of ICP levels but also in distinguishing respiration and cardiac activities from ICP signals, thereby achieving the multimodal monitoring of ICP, respiratory, and heart rates within a single system. Our work may provide a pragmatic avenue for the real-time wireless monitoring of ICP and thus hold great potential to be extended to the monitoring of other vital physiological indicators.
Authors
- Shaomin Zhang (ORCID: https://orcid.org/0000-0001-6311-5946)
- Weipeng Xuan (ORCID: https://orcid.org/0000-0002-4818-2881)
- Jikui Luo (ORCID: https://orcid.org/0000-0003-0310-2443)
- Jianhui Wu (ORCID: https://orcid.org/0000-0001-8154-1199)
- Chi Zhang (ORCID: https://orcid.org/0009-0007-5221-1108)
- Minye Yang (ORCID: https://orcid.org/0000-0002-4659-7063)
- Yulu Liu (ORCID: https://orcid.org/0000-0002-9763-3976)
- Z. Cao (ORCID: https://orcid.org/0000-0002-4858-6130)
- Kaihang Zhang (ORCID: https://orcid.org/0009-0002-6575-1932)
- Jinkai Chen (ORCID: https://orcid.org/0000-0002-9409-9632)
- Zhilu Ye (ORCID: https://orcid.org/0000-0002-0017-6722)
- Liangquan Xu (ORCID: https://orcid.org/0009-0004-5988-3431)
- Xiaobin Xia
- Pai‐Yen Chen (ORCID: https://orcid.org/0000-0002-8112-8457)
- Shurong Dong (ORCID: https://orcid.org/0000-0002-8715-7072)
- Dinku Hazarika
- Fan Zhang (ORCID: https://orcid.org/0000-0002-4480-2158)
- Jie Li (ORCID: https://orcid.org/0000-0002-5715-7725)
- Yubo Li (ORCID: https://orcid.org/0000-0002-4687-2002)
- Xinyu Cai (ORCID: https://orcid.org/0009-0002-9611-6237)
- Hao Jin
- Jiaqi Lu (ORCID: https://orcid.org/0000-0001-7938-3371)
- Rui Wan (ORCID: https://orcid.org/0000-0003-1958-1784)
Institutions
- Ningbo University (CN)
- Ministry of Education (NZ)
- University of Illinois Chicago (US)
- Zhejiang Lab (CN)
- Zhejiang University-University of Edinburgh Institute (CN)
- Hangzhou Dianzi University (CN)
- Zhejiang University (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1038/s41467-024-53836-8
- Citations
- 26
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 8.91
Funders
- National Natural Science Foundation of China
- Zhejiang University
- Renji Hospital
- National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization