Development of capacitive pure bending strain sensor for wireless spinal fusion monitoring

Lin, Ji-Tzuoh; Walsh, Kevin M.; Jackson, Douglas; Aebersold, Julia; Crain, Mark M.; Naber, John; Hnat, William P.

doi:10.1016/j.sna.2007.04.069

Cited by 25 publications

(17 citation statements)

References 12 publications

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“…Gibson [9] showed that the maximum strain value of the rod was nearly 1000 με. In order to be able to mount on the rod and other wireless circuitry, Aebersold et al [4] and Lin et al [5] suggested the maximum dimension of the sensor to be around 10 mm × 2 mm (width × length). Table 2 summarizes the requirement of the sensor for spinal fusion monitoring.…”

Section: Sensor Designmentioning

confidence: 99%

“…where B is a constant that can be obtained using a boundary condition [5,11]. When the sensor model bends, the tangent deflection line at point…”

Section: Theorymentioning

confidence: 99%

“…It is also the most commonly used structure for sensor. However, the cantilever beam structure designed by Lin et al [5] showed highest sensitivity when compared to comb drive structure. In this study, the cantilever beam structure design has been utilized owing to its higher sensitivity.…”

Section: Introductionmentioning

confidence: 98%

“…The sensitivity of this sensor was 2.94 fF/με for strain value between 0 to 1000 με. Similarly, Lin et al [5] developed a MEMS capacitive bending strain sensor for spinal fusion monitoring but having different sensor structure. The sensor had a cantilever beam structure with two layers.…”

Section: Introductionmentioning

confidence: 99%

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Simulation Study of Sensitivity Performance of MEMS Capacitive Bending Strain Sensor for Spinal Fusion Monitoring

Mokti

Rahim

2012

Modelling and Simulation in Engineering

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This study evaluates the sensitivity of microelectromechanical system (MEMS) capacitive bending strain sensor with a double layer cantilever designed to meet the requirements of spinal fusion monitoring. The cantilever structure of the sensor consists of two parallel substrate plates which constitute the electrodes, attached to an anchor made of silicon dioxide. The sensor was able to monitor bending strain value ranging from 0 to 1000 με. In order to evaluate the sensitivity of the sensor, parametric study was carried out by varying electrode gap, anchor length, and dielectric coverage between the electrodes. The nominal capacitive strain sensor for various applications has sensitivity ranging from 255 aF/μεto 0.0225 pF/με. An increase in the sensitivity was observed on reducing the electrode gap and the anchor length and increasing the dielectric coverage, resulting in a highest sensitivity value of 0.2513 pF/με. It was also observed that dielectric constant has a significant effect on the sensitivity behavior of the sensor.

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Section: Sensor Designmentioning

confidence: 99%

“…where B is a constant that can be obtained using a boundary condition [5,11]. When the sensor model bends, the tangent deflection line at point…”

Section: Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation Study of Sensitivity Performance of MEMS Capacitive Bending Strain Sensor for Spinal Fusion Monitoring

Mokti

Rahim

2012

Modelling and Simulation in Engineering

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“…Therefore, it is desirable that the sensor length be less than 10 mm. The housing is installed between two pedicle screws and needs to transfer the bending strain from the rod to the sensor as described in (Aebersold et al 2007). The curved surface of the rod is compensated with the 2 mm thick plastic housing which conforms to the rod and is trimmed 1 mm down to provide a flat area of 2 mm x 10 mm for the sensor to mount.…”

Section: The Mems Strain Sensorsmentioning

confidence: 99%

Inductively Coupled Telemetry in Spinal Fusion Application Using Capacitive Strain Sensors

Lin¹,

Jackson²,

Aebersold³

et al. 2011

Modern Telemetry

Self Cite

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Patient‐Specific Self‐Powered Metamaterial Implants for Detecting Bone Healing Progress

Barri

Zhang

Swink

et al. 2022

Adv Funct Materials

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There is an unmet need for developing a new class of smart medical implants with novel properties and advanced functionalities. Here, the concept of “self‐aware implants” is proposed to enable the creation of a new generation of multifunctional metamaterial implantable devices capable of responding to their environment, empowering themselves, and self‐monitoring their condition. These functionalities are achieved via integrating nano energy harvesting and mechanical metamaterial design paradigms. Various aspects of the proposed concept are highlighted by developing proof‐of‐concept interbody spinal fusion cage implants with self‐sensing, self‐powering, and mechanical tunability features. Bench‐top testing is performed using synthetic biomimetic and human cadaver spine models to evaluate the electrical and mechanical performance of the developed patient‐specific metamaterial implants. The results show that the self‐aware cage implants can diagnose bone healing process using the voltage signals generated internally through their built‐in contact‐electrification mechanisms. The voltage and current generated by the implants under the axial compression forces of the spine models reach 9.2 V and 4.9 nA, respectively. The metamaterial implants can serve as triboelectric nanogenerators to empower low‐power electronics. The capacity of the proposed technology to revolutionize the landscape of implantable devices and to achieve better surgical outcomes is further discussed.

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Development of capacitive pure bending strain sensor for wireless spinal fusion monitoring

Cited by 25 publications

References 12 publications

Simulation Study of Sensitivity Performance of MEMS Capacitive Bending Strain Sensor for Spinal Fusion Monitoring

Simulation Study of Sensitivity Performance of MEMS Capacitive Bending Strain Sensor for Spinal Fusion Monitoring

Inductively Coupled Telemetry in Spinal Fusion Application Using Capacitive Strain Sensors

Patient‐Specific Self‐Powered Metamaterial Implants for Detecting Bone Healing Progress

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