Orthopaedic implant micromotion sensing using an eddy current sensor

Khokle, Rajas; Heimlich, Michael; Bokor, Desmond

doi:10.1109/lsc.2017.8268159

Cited by 3 publications

(3 citation statements)

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“…For the detection of micromotion, eddy current sensors and factors that affect the sensitivity and range of sensors implanted in the tibia beneath the metallic plate were also investigated. 362 The sensor was tested using a bovine bone. It was found that sensor resistance is associated with higher sensitivity than inductance where the resistance-based range of the sensor peaks at 20 MHz and the inductance-based range of the sensor is constant over the frequency of 10−200 MHz.…”

Section: Experimental Studies Hip Implantsmentioning

confidence: 99%

“…To analyze loads in orthopedic implants, a three-dimensionally (3D)-printed sensor array (composed of PANI structures embedded in a polymeric parent phase) was developed. , Linear outputs following fractional changes in resistance occurring during incrementally applied loads, were obtained. For the detection of micromotion, eddy current sensors and factors that affect the sensitivity and range of sensors implanted in the tibia beneath the metallic plate were also investigated . The sensor was tested using a bovine bone.…”

Section: Implant Integrating Sensorsmentioning

confidence: 99%

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Implants with Sensing Capabilities

et al. 2022

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Because of the aging human population and increased numbers of surgical procedures being performed, there is a growing number of biomedical devices being implanted each year. Although the benefits of implants are significant, there are risks to having foreign materials in the body that may lead to complications that may remain undetectable until a time at which the damage done becomes irreversible. To address this challenge, advances in implantable sensors may enable early detection of even minor changes in the implants or the surrounding tissues and provide early cues for intervention. Therefore, integrating sensors with implants will enable real-time monitoring and lead to improvements in implant function. Sensor integration has been mostly applied to cardiovascular, neural, and orthopedic implants, and advances in combined implant-sensor devices have been significant, yet there are needs still to be addressed. Sensor-integrating implants are still in their infancy; however, some have already made it to the clinic. With an interdisciplinary approach, these sensor-integrating devices will become more efficient, providing clear paths to clinical translation in the future.

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Section: Experimental Studies Hip Implantsmentioning

confidence: 99%

Section: Implant Integrating Sensorsmentioning

confidence: 99%

Implants with Sensing Capabilities

et al. 2022

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“…Keeping in view the non-magnetic and lossy dielectric nature of the human tissue, we propose using inductive eddy current (EC) sensors for this purpose [ 36 ]. In [ 37 ], authors have discussed how eddy current sensors can be utilized for motion detection. In this article, we critically analyze the problem of micromotion detection of the orthopedic implant and discuss the simulation strategy, experimental methods and obtained results.…”

Section: Introductionmentioning

confidence: 99%

Design, Modeling, and Evaluation of the Eddy Current Sensor Deeply Implanted in the Human Body

Khokle

Bokor

2018

Sensors

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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 μm. 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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