Magnetic foreign body location based on least squares and extended Kalman filter
The accurate and noninvasive localization of ferromagnetic objects in the human body for surgical removal is a healthcare demand. There are studies focused on enhancing the method and low-cost magnetometers’ sensitivity. This work focuses on improving the inverse problem algorithm for locating the f...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917421002397 |
| Summary: | The accurate and noninvasive localization of ferromagnetic objects in the human body for surgical removal is a healthcare demand. There are studies focused on enhancing the method and low-cost magnetometers’ sensitivity. This work focuses on improving the inverse problem algorithm for locating the ferromagnetic object in humans, using two models: least-squares and extended Kalman filter. Tests simulating sensor scans were performed using Matlab to check their performance and see which is the most robust. The least-squares method proved to be the most satisfactory method for the problem. |
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| ISSN: | 2665-9174 |