Design, Modeling, and Evaluation of the Eddy Current Sensor Deeply Implanted in the Human Body.
- Publisher:
- MDPI
- Publication Type:
- Journal Article
- Citation:
- Sensors (Basel), 2018, 18, (11), pp. E3888
- Issue Date:
- 2018-11-11
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Khokle, RP | |
dc.contributor.author | Esselle, KP | |
dc.contributor.author | Bokor, DJ | |
dc.date.accessioned | 2022-09-05T20:59:47Z | |
dc.date.available | 2018-11-06 | |
dc.date.available | 2022-09-05T20:59:47Z | |
dc.date.issued | 2018-11-11 | |
dc.identifier.citation | Sensors (Basel), 2018, 18, (11), pp. E3888 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10453/161380 | |
dc.description.abstract | Joint replacement surgeries have enabled motion for millions of people suffering from arthritis or grave injuries. However, over 10% of these surgeries are revision surgeries. We have first analyzed the data from the worldwide orthopedic registers and concluded that the micromotion of orthopedic implants is the major reason for revisions. Then, we propose the use of inductive eddy current sensors for in vivo micromotion detection of the order of tens of μ m. To design and evaluate its characteristics, we have developed efficient strategies for the accurate numerical simulation of eddy current sensors implanted in the human body. We present the response of the eddy current sensor as a function of its frequency and position based on the robust curve fit analysis. Sensitivity and Sensitivity Range parameters are defined for the present context and are evaluated. The proposed sensors are fabricated and tested in the bovine leg. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | MDPI | |
dc.relation.ispartof | Sensors (Basel) | |
dc.relation.isbasedon | 10.3390/s18113888 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | 0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering | |
dc.subject.classification | Analytical Chemistry | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Arthritis | |
dc.subject.mesh | Arthroplasty, Replacement | |
dc.subject.mesh | Biosensing Techniques | |
dc.subject.mesh | Cattle | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Orthopedics | |
dc.subject.mesh | Prostheses and Implants | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Cattle | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Arthritis | |
dc.subject.mesh | Arthroplasty, Replacement | |
dc.subject.mesh | Biosensing Techniques | |
dc.subject.mesh | Prostheses and Implants | |
dc.subject.mesh | Orthopedics | |
dc.title | Design, Modeling, and Evaluation of the Eddy Current Sensor Deeply Implanted in the Human Body. | |
dc.type | Journal Article | |
utslib.citation.volume | 18 | |
utslib.location.activity | Switzerland | |
utslib.for | 0301 Analytical Chemistry | |
utslib.for | 0502 Environmental Science and Management | |
utslib.for | 0602 Ecology | |
utslib.for | 0805 Distributed Computing | |
utslib.for | 0906 Electrical and Electronic Engineering | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering | |
utslib.copyright.status | recently_added | * |
dc.date.updated | 2022-09-05T20:59:40Z | |
pubs.issue | 11 | |
pubs.publication-status | Published online | |
pubs.volume | 18 | |
utslib.citation.issue | 11 |
Abstract:
Joint replacement surgeries have enabled motion for millions of people suffering from arthritis or grave injuries. However, over 10% of these surgeries are revision surgeries. We have first analyzed the data from the worldwide orthopedic registers and concluded that the micromotion of orthopedic implants is the major reason for revisions. Then, we propose the use of inductive eddy current sensors for in vivo micromotion detection of the order of tens of μ m. To design and evaluate its characteristics, we have developed efficient strategies for the accurate numerical simulation of eddy current sensors implanted in the human body. We present the response of the eddy current sensor as a function of its frequency and position based on the robust curve fit analysis. Sensitivity and Sensitivity Range parameters are defined for the present context and are evaluated. The proposed sensors are fabricated and tested in the bovine leg.
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