Name
Title | ||
|---|---|---|
In-Vitro Demonstration of Ultra-Reliable, Wireless and Batteryless Implanted Intracranial Sensors Operated on Loci of Exceptional Points |
Abstract | ||
|---|---|---|
Vital signal monitoring, such as pulse, respiration rate, intra-organ and intra-vascular pressure, can provide important information for determination of clinic diagnosis, treatments, and surgical protocols. Nowadays, micromachined bioimplants, equipped with antennas for converting bio-signals to modulated radio transmissions, may allow remote continuous monitoring of patients’ vital signs. Yet, current passive biotelemetry techniques usually suffer from poor signal reproducibility and robustness in light of inevitable misalignment between transmitting and receiving antennas. Here, we seek to address this long-existing challenge and to robustly acquire information from a passive wireless intracranial pressure (or brain pressure) sensor by introducing a novel, high-performance biotelemetry system. In spite of variable inductive links, this biotelemetry system may have absolute accuracy by leveraging the uniqueness of loci of exceptional points (EPs) in non-Hermitian radio-frequency (RF) electronic systems with parity-time (
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) symmetry. Our in-vitro experimental demonstration shows that the proposed intracranial (ICP) monitoring system can provide a sub-mmHg resolution in the ICP range of 0-20 mmHg and ultra-robust wireless data acquisition against the misalignment-induced weakening of inductive link. Our results could provide a practical pathway toward reliable, real-time wireless monitoring of ICP, and other vital signals generated by bio-implants and wearables. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TBCAS.2022.3164697 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | DocType | Volume |
Humans,Intracranial Pressure,Monitoring, Physiologic,Prostheses and Implants,Reproducibility of Results,Vital Signs,Wireless Technology | Journal | 16 |
Issue | ISSN | Citations |
2 | 1932-4545 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minye Yang | 1 | 0 | 0.34 |
| Zhilu Ye | 2 | 0 | 0.34 |
| Nabeel Alsaab | 3 | 0 | 0.34 |
| Mohamed Farhat | 4 | 0 | 0.34 |
| P.-Y. Chen | 5 | 3 | 3.42 |