On the Design of Microfluidic Implant Coil for Flexible Telemetry System

Qusba, A.; RamRakhyani, Anil Kumar; So, Ju‐Hee; Hayes, Gerard J.; Dickey, Michael D.; Lazzi, Gianluca

doi:10.1109/jsen.2013.2293096

Cited by 89 publications

(64 citation statements)

References 20 publications

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“…Such devices are increasingly being engineered for new areas of application. Research is being carried out into embedding microelectrodes directly into human bodies [8] [9] [10] and even into the human brain [11] [12] [13] [14]. Microelectrode based devices are quickly evolving from being temporary and disposable to being devices designed for long term use [15].…”

Section: Overviewmentioning

confidence: 99%

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

Khan

Al-Gayem

Richardson

2017

IEEE Trans. Device Mater. Relib.

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Abstract--Micro-electro-mechanical Systems and microfluidics are becoming popular solutions for sensing, diagnostics and control applications. Reliability and validation of function is of increasing importance in the majority of these applications. Online testing strategies for these devices have the potential to provide real-time condition monitoring information. It is shown that this information can be used to diagnose and prognose the health of the device. This information can also be used to provide an early failure warning system by predicting the remaining useful life. Diagnostic and prognostic outcomes can also be leveraged to improve the reliability, dependability and availability of these devices. This work has delivered a methodology for a "lightweight" prognostics solution for a microfluidic device based on real-time diagnostics. An oscillation based test methodology is used to extract diagnostic information that is processed using a Linear Discriminant Analysis based classifier. This enables the identification of current health based on pre-defined health levels. As the deteriorating device is periodically classified, the rate at which the device degrades is used to predict the devices remaining useful life. I. INTRODUCTIONA novel implementation of a prognostics function for a microfluidic device based on MEMS technology is presented. The term "prognostics" has been defined in various different ways depending on context [1], this research considers the definition given by ISO13381-1 as the most comprehensive. It states that prognostics is not only the prediction of the time to failure but also the risk of one or more existing or future failure modes [2].Studies have revealed some excellent Prognostic and Health Management (PHM) solutions that provide deep and detailed prognostic capabilities for micro-devices with a high level of accuracy. The use of machine learning [3] and physics based prognostics [4] is being actively explored. PHM solutions similar to these are designed from the ground up in a device specific framework with the prognostics modules being tightly coupled with the physics of failure of the device. While these PHM systems perform very well in conjunction with their target devices, flexibility and wide scale adoption in other MEMS devices is quite challenging.The onus of most PHM frameworks is to provide prognosis at the highest possible confidence level thus providing the most reliable Remaining Useful Life (RUL) predictions [5] [6] [7]. However, this comes at a cost, be it a heavy processing requirement or the aforementioned rigidity or complexity, to name two. This work proposes a "Housekeeping" Prognostics and Health Management (HPHM) framework that has a conservative prognostic mandate. Such a framework caters strictly for wear during normal use and evolving faults. This affords the usage of simpler models that are easy to adapt, implement and use.The scope of this HPHM is to predict patterns of low intensity failures and drift due to gradual aging and noncatastrophic faults du...

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Section: Overviewmentioning

confidence: 99%

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

Khan

Al-Gayem

Richardson

2017

IEEE Trans. Device Mater. Relib.

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“…The major shortcoming of the inductive powering link is that coil flexion detunes the resonance and the received power at the implant drops significantly. Approaches using flexible coils with serpentine structures of gold [30], [31] and liquid metals [32] have been proposed, although they report a marked drop in power delivered.…”

Section: A Near-field Inductive-coupling Schemementioning

confidence: 99%

Enabling Wireless Powering and Telemetry for Peripheral Nerve Implants

Jegadeesan¹,

Nag²,

Agarwal

et al. 2015

IEEE J. Biomed. Health Inform.

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Neuromodulation of peripheral nerves with bioelectronic devices is a promising approach for treating a wide range of disorders. Wireless powering could enable long-term operation of these devices, but achieving high performance for miniaturized and deeply placed devices remains a technological challenge. We report the miniaturized integration of a wireless powering system in soft neuromodulation device (15 mm length, 2.7 mm diameter) and demonstrate high performance (about 10%) during in vivo wireless stimulation of the vagus nerve in a porcine animal model. The increased performance is enabled by the generation of a focused and circularly polarized field that enhances efficiency and provides immunity to polarization misalignment. These performance characteristics establish the clinical potential of wireless powering for emerging therapies based on neuromodulation.

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“…28 In this case, we used polydimethylsiloxane (PDMS) channels fabricated by soft lithography to construct reconfigurable antennas based on EGaIn. 21,22,29,30 These antennas offer a variety of advantages over conventional antennas based on copper. Unlike conventional antennas, EGaIn antennas are resistant to damage from twisting, bending, or stretching, and can return to their original state after removal of any applied stresses.…”

Section: -Liquid Metal Antennasmentioning

confidence: 99%

Liquid metals as ultra-stretchable, soft, and shape reconfigurable conductors

Eaker

Dickey

2015

SPIE Proceedings

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Conventional, rigid materials remain the key building blocks of most modern electronic devices, but they are limited in their ability to conform to curvilinear surfaces. It is possible to make electronic components that are flexible and in some cases stretchable by utilizing thin films, engineered geometries, or inherently soft and stretchable materials that maintain their function during deformation. Here, we describe the properties and applications of a micromoldable liquid metal that can form conductive components that are ultra-stretchable, soft, and shapereconfigurable. This liquid metal is a gallium-based alloy with low viscosity and high conductivity. The metal develops spontaneously a thin, passivating oxide layer on the surface that allows the metal to be molded into nonspherical shapes, including films and wires, and patterned by direct-write techniques or microfluidic injection. Furthermore, unlike mercury, the liquid metal has low toxicity and negligible vapor pressure. This paper discusses the mechanical and electrical properties of the metal in the context of electronics, and discusses how the properties of the oxide layer have been exploited for new patterning techniques that enable soft, stretchable and reconfigurable devices.

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On the Design of Microfluidic Implant Coil for Flexible Telemetry System

Cited by 89 publications

References 20 publications

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

Enabling Wireless Powering and Telemetry for Peripheral Nerve Implants

Liquid metals as ultra-stretchable, soft, and shape reconfigurable conductors

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