Fully Implantable Multi-Channel Measurement System for Acquisition of Muscle Activity

Lewis, Sören; Russold, Michael Friedrich; Dietl, H.; Ruff, Roman; Audí, Josep Marcel Cardona; Hoffmann, K.-P.; Abu-Saleh, Lait; Schroeder, Dietmar; Krautschneider, Wolfgang H.; Westendorff, Stephanie; Gail, Alexander; Meiners, Thomas; Kaniušas, Eugenijus

doi:10.1109/tim.2013.2253992

Cited by 47 publications

(35 citation statements)

References 36 publications

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“…Alternatives to the proposed systems are intramuscular (Weir et al, 2009) and epimysial (Lewis et al, 2013) electrodes. These approaches acquire the signals closer to the origin but require a more complicated surgery.…”

Section: Discussionmentioning

confidence: 99%

“…Machine learning based approaches do not require such a high specificity as the parallel dual-side control, but stable signal patterns over time to avoid recalibration. Another promising approach based on an implantable, flexible electrode array has been proposed by Lewis et al (2013). Both approaches have the advantage that no link through the skin remains after implantation.…”

Section: Discussionmentioning

confidence: 99%

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A Novel Percutaneous Electrode Implant for Improving Robustness in Advanced Myoelectric Control

et al. 2016

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Despite several decades of research, electrically powered hand and arm prostheses are still controlled with very simple algorithms that process the surface electromyogram (EMG) of remnant muscles to achieve control of one prosthetic function at a time. More advanced machine learning methods have shown promising results under laboratory conditions. However, limited robustness has largely prevented the transfer of these laboratory advances to clinical applications. In this paper, we introduce a novel percutaneous EMG electrode to be implanted chronically with the aim of improving the reliability of EMG detection in myoelectric control. The proposed electrode requires a minimally invasive procedure for its implantation, similar to a cosmetic micro-dermal implant. Moreover, being percutaneous, it does not require power and data telemetry modules. Four of these electrodes were chronically implanted in the forearm of an able-bodied human volunteer for testing their characteristics. The implants showed significantly lower impedance and greater robustness against mechanical interference than traditional surface EMG electrodes used for myoelectric control. Moreover, the EMG signals detected by the proposed systems allowed more stable control performance across sessions in different days than that achieved with classic EMG electrodes. In conclusion, the proposed implants may be a promising interface for clinically available prostheses.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Novel Percutaneous Electrode Implant for Improving Robustness in Advanced Myoelectric Control

et al. 2016

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“…It is now common for neuroscientists and clinicians to observe the behavior of diverse signals as part of their research, and this has motivated the development of lownoise, low-power neural recording systems [1][2][3][4]. Since most neurological and behavioral disorders can be observed by brain activity, brain computer interfaces (BCIs) have been developed for the acquisition of neural signals by electroencephalography (EEG) signals [5].…”

Section: Introductionmentioning

confidence: 99%

A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems

Kim

Yang

et al. 2017

JSTS:Journal of Semiconductor Technology and Science

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“…In particular, multisensor systems, which are sensor nodes with several heterogeneous and/or homogeneous sensors, are widely applied in engineering measurement, such as fluid flow-rate measuring [Harnett et al 2011] and multiphase flow metering [Deng et al 2010;Meribout et al 2011], industrial robots [Sequeira and Tsourdos 2011;Koch et al 2013], the petroleum industry [Abdelgawad 2011], railway [Akpinar 2012] and vehicular systems [Zeng 2012], nondestructive evaluation (NDE) measurement [Khan et al 2011], and the medical field [Lewis et al 2013].…”

Section: Introductionmentioning

confidence: 99%

Structure Design of Wireless Sensor Nodes with Energy and Cost Awareness for Multichannel Signal Measurement

Zhu

Oyadiji

2016

ACM Trans. Embed. Comput. Syst.

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This article aims to develop a design pattern of a wireless sensor node working in multichannel signal measurement for effectively lowering energy consumption and cost. The proposed design pattern enables the architecture of a wireless sensor node to adapt to application requirements, thus to significantly reduce system redundancy. Two multisensor structures are parameterized regarding frequency response, power consumption, and cost. The system design pattern provides flexibility through three proposed interface circuits that bridge between multisensor structures and the microprocessors inside sensor nodes. It also allows adjusting time the delay parameter that can enlarge the selection range of main electronic components, and thereby increases the robustness of the model for practical implementations. A virtual case study is provided to demonstrate how to apply this model into an application design. ACM Reference Format:Zhenhuan Zhu and S. Olutunde Oyadiji. 2016. Structure design of wireless sensor nodes with energy and cost awareness for multichannel signal measurement.

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Fully Implantable Multi-Channel Measurement System for Acquisition of Muscle Activity

Cited by 47 publications

References 36 publications

A Novel Percutaneous Electrode Implant for Improving Robustness in Advanced Myoelectric Control

A Novel Percutaneous Electrode Implant for Improving Robustness in Advanced Myoelectric Control

A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems

Structure Design of Wireless Sensor Nodes with Energy and Cost Awareness for Multichannel Signal Measurement

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