Design and Manufacturing of a Dry Electrode for EMG Signals Recording with Microneedles

Rayo, Araceli Guadalupe Santana; Hernández-Gómez, Luis Héctor; Sánchez, Alejandro Tonatiu Velázquez; Fernández, Juan Alfonso Beltrán; Flores-Campos, Juan Alejandro; Calderón, Guillermo Urriolagoitia; Rayo, Víctor Manuel Santana; Peñaloza, Arturo Enrique Flores

doi:10.1007/978-3-319-59590-0_22

Cited by 10 publications

(9 citation statements)

References 11 publications

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“…Compared with the conventional gel patch electrodes (wet electrodes) for medical sensing, dry microneedle electrodes are much smaller and can penetrate the outermost layer epidermis, receiving more strong signals from a precise area. They ensure good contact with the skin, and thus, the contact impedance between the microelectrode and the skin is greatly lowered, as explained in Figure f . They can also avoid limitations such as (i) skin allergies induced by the electrolytic gel, (ii) short circuit caused by the spreading of the gel, and (iii) inaccurate measurements due to the dehydration of the gel and the differing diffusion distances into the diverse skin layers …”

Section: Resultsmentioning

confidence: 99%

“…They ensure good contact with the skin, and thus, the contact impedance between the microelectrode and the skin is greatly lowered, as explained in Figure 4f. 41 They can also avoid limitations such as (i) skin allergies induced by the electrolytic gel, (ii) short circuit caused by the spreading of the gel, and (iii) inaccurate measurements due to the dehydration of the gel and the differing diffusion distances into the diverse skin layers. 41 The biocompatibility and cytotoxicity of the MXene nanosheet-based microneedle were evaluated using the direct contact method according to ISO 10993-5.…”

Section: Resultsmentioning

confidence: 99%

“…The MXene nanosheet-based microneedles are highly conductive, stable, and biocompatible. Although there are many different types of microneedles, portable multifunctional MXene nanosheet-based microneedles for hospital-on-a-chip are relatively rare. ,, This system is promising for the efficient diagnosis of abnormal eye movements, even when the person closes his eyes. Using this system, muscle contraction signals can be recorded and then treated with an electrically assisted drug release system or electrostimulation.…”

Section: Discussionmentioning

confidence: 99%

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MXene Nanosheet-Based Microneedles for Monitoring Muscle Contraction and Electrostimulation Treatment

Yang

Lin

et al. 2021

ACS Appl. Nano Mater.

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MXenes belong to a large family of two-dimensional layered transition-metal carbides and nitrides. MXene nanosheets integrate the fascinating advantages of high electronic conductivity, excellent biocompatibility, and acid/base resistance. Herein, we demonstrate a “hospital-on-a-chip” system with multifunctional microneedle electrodes for biosensing and electrostimulation using highly stable MXene nanosheets. This system consists of integrated microchip biosensors for an efficient diagnosis and medical treatment elements for therapies, thus resembling a miniaturized hospital. Microneedles are composed of dozens of micron-sized needles that can be used as an effective and painless transdermal patch to puncture the dead skin barrier for drug delivery or biosensing purposes since they are directly in contact with the dermal layer inside the human body. The wearable MXene nanosheet-based microneedles can sense the tiny electric potential difference generated from the human eye movements or muscle contraction from the human arm. Therefore, the diseases associated with neuromuscular abnormalities such as myasthenia gravis can be monitored. Consequently, the transcutaneous electrical nerve stimulation treatment can be applied according to the feedback of the micro-biosensors. In addition, MXene microneedles can offer an electrically controlled drug delivery platform and the function of enhancing blood coagulation. Finally, MXene nanosheet-based microneedles provide an interesting platform for wearable micro-biosensors and offer an essential part of the hospital-on-a-chip system.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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MXene Nanosheet-Based Microneedles for Monitoring Muscle Contraction and Electrostimulation Treatment

Yang

Lin

et al. 2021

ACS Appl. Nano Mater.

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“…The surface of the electrodes is typically silver and the contact with the skin can be either wet, using a silver-chloride gel, or dry (without any medium) [13]. Wet contact electrodes offer lower skin contact impedance, which reduces the effect of external interference sources on sEMG electrodes and improves SNR.…”

Section: A Signal Overviewmentioning

confidence: 99%

A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction

et al. 2019

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This paper presents a literature review on pattern recognition of electromyography (EMG) signals and its applications. The EMG technology is introduced and the most relevant aspects for the design of an EMG-based system are highlighted, including signal acquisition and filtering. EMG-based systems have been used with relative success to control upper-and lower-limb prostheses, electronic devices and machines, and for monitoring human behavior. Nevertheless, the existing systems are still inadequate and are often abandoned by their users, prompting for further research. Besides controlling prostheses, EMG technology is also beneficial for the development of machine learning-based devices that can capture the intention of able-bodied users by detecting their gestures, opening the way for new human-machine interaction (HMI) modalities. This paper also reviews the current feature extraction techniques, including signal processing and data dimensionality reduction. Novel classification methods and approaches for detecting non-trained gestures are discussed. Finally, current applications are reviewed, through the comparison of different EMG systems and discussion of their advantages and drawbacks.INDEX TERMS EMG, human-machine interaction, pattern classification, regression.

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“…So, the sEMGs is a non-invasive technique. Surface EMG sensors typically use silver electrodes and contact with skins can be either wet (silver-chloride) or dry [11]. Wet sEMG sensors have higher signal to noise ratioa.…”

Section: Introductionmentioning

confidence: 99%

Deep learning approach to control of prosthetic hands with electromyography signals

Jafarzadeh

Hussey

Tadesse

2019

2019 IEEE International Symposium on Measurement and Control in Robotics (ISMCR)

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Natural muscles provide mobility in response to nerve impulses. Electromyography (EMG) measures the electrical activity of muscles in response to a nerve's stimulation. In the past few decades, EMG signals have been used extensively in the identification of user intention to potentially control assistive devices such as smart wheelchairs, exoskeletons, and prosthetic devices. In the design of conventional assistive devices, developers optimize multiple subsystems independently. Feature extraction and feature description are essential subsystems of this approach. Therefore, researchers proposed various hand-crafted features to interpret EMG signals. However, the performance of conventional assistive devices is still unsatisfactory. In this paper, we propose a deep learning approach to control prosthetic hands with raw EMG signals. We use a novel deep convolutional neural network to eschew the feature-engineering step. Removing the feature extraction and feature description is an important step toward the paradigm of end-to-end optimization. Fine-tuning and personalization are additional advantages of our approach. The proposed approach is implemented in Python with TensorFlow deep learning library, and it runs in real-time in generalpurpose graphics processing units of NVIDIA Jetson TX2 developer kit. Our results demonstrate the ability of our system to predict fingers position from raw EMG signals. We anticipate our EMG-based control system to be a starting point to design more sophisticated prosthetic hands. For example, a pressure measurement unit can be added to transfer the perception of the environment to the user. Furthermore, our system can be modified for other prosthetic devices.

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Design and Manufacturing of a Dry Electrode for EMG Signals Recording with Microneedles

Cited by 10 publications

References 11 publications

MXene Nanosheet-Based Microneedles for Monitoring Muscle Contraction and Electrostimulation Treatment

MXene Nanosheet-Based Microneedles for Monitoring Muscle Contraction and Electrostimulation Treatment

A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction

Deep learning approach to control of prosthetic hands with electromyography signals

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