Miniature magneto-oscillatory wireless sensor for magnetic field and gradient measurements
Magneto-oscillatory devices have been recently developed as very potent wireless miniature position trackers and sensors with an exceptional accuracy and sensing distance for surgical and robotic applications. However, it is still unclear to which extend a mechanically resonating sub-millimeter magn...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
12 August 2024
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| In: |
Applied physics letters
Year: 2024, Jahrgang: 125, Heft: 7, Pages: 1-7 |
| ISSN: | 1077-3118 |
| DOI: | 10.1063/5.0222971 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1063/5.0222971
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| Verfasserangaben: | F. Fischer, M. Jeong, and T. Qiu |
| Zusammenfassung: | Magneto-oscillatory devices have been recently developed as very potent wireless miniature position trackers and sensors with an exceptional accuracy and sensing distance for surgical and robotic applications. However, it is still unclear to which extend a mechanically resonating sub-millimeter magnet interacts with external magnetic fields or gradients, which induce frequency shifts of sub-mHz to several Hz and, therefore, affect the sensing accuracy. Here, we investigate this effect experimentally on a cantilever-based magneto-oscillatory wireless sensor (MOWS) and build an analytical model concerning magnetic and mechanical interactions. The millimeter-scale MOWS is capable to detect magnetic fields with sub-µT resolution to at least ±5 mT and simultaneously detects magnetic field gradients with a resolution of 65 µT/m to at least ±50 mT/m. The magnetic field sensitivity allows direct calculation of mechanical device properties, and by rotation, individual contributions of the magnetic field and gradient can be analyzed. The derived model is general and can be applied to other magneto-oscillatory systems interacting with magnetic environments. |
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| Beschreibung: | Online veröffentlicht: 16. August 2024 Gesehen am 22.07.2025 |
| Beschreibung: | Online Resource |
| ISSN: | 1077-3118 |
| DOI: | 10.1063/5.0222971 |