24 research outputs found

    Wireless sEMG System with a Microneedle-Based High-Density Electrode Array on a Flexible Substrate

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    Surface electromyography (sEMG) signals reflect muscle contraction and hence, can provide information regarding a user's movement intention. High-density sEMG systems have been proposed to measure muscle activity in small areas and to estimate complex motion using spatial patterns. However, conventional systems based on wet electrodes have several limitations. For example, the electrolyte enclosed in wet electrodes restricts spatial resolution, and these conventional bulky systems limit natural movements. In this paper, a microneedle-based high-density electrode array on a circuit integrated flexible substrate for sEMG is proposed. Microneedles allow for high spatial resolution without requiring conductive substances, and flexible substrates guarantee stable skin-electrode contact. Moreover, a compact signal processing system is integrated with the electrode array. Therefore, sEMG measurements are comfortable to the user and do not interfere with the movement. The system performance was demonstrated by testing its operation and estimating motion using a Gaussian mixture model-based, simplified 2D spatial pattern.111Ysciescopu

    Electrotactile feedback applications for hand and arm interactions: A systematic review, meta-analysis, and future directions

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    Haptic feedback is critical in a broad range of human-machine/computer-interaction applications. However, the high cost and low portability/wearability of haptic devices remain unresolved issues, severely limiting the adoption of this otherwise promising technology. Electrotactile interfaces have the advantage of being more portable and wearable due to their reduced actuators' size, as well as their lower power consumption and manufacturing cost. The applications of electrotactile feedback have been explored in human-computer interaction and human-machine-interaction for facilitating hand-based interactions in applications such as prosthetics, virtual reality, robotic teleoperation, surface haptics, portable devices, and rehabilitation. This paper presents a technological overview of electrotactile feedback, as well a systematic review and meta-analysis of its applications for hand-based interactions. We discuss the different electrotactile systems according to the type of application. We also discuss over a quantitative congregation of the findings, to offer a high-level overview into the state-of-art and suggest future directions. Electrotactile feedback systems showed increased portability/wearability, and they were successful in rendering and/or augmenting most tactile sensations, eliciting perceptual processes, and improving performance in many scenarios. However, knowledge gaps (e.g., embodiment), technical (e.g., recurrent calibration, electrodes' durability) and methodological (e.g., sample size) drawbacks were detected, which should be addressed in future studies.Comment: 18 pages, 1 table, 8 figures, under review in Transactions on Haptics. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.Upon acceptance of the article by IEEE, the preprint article will be replaced with the accepted versio

    Wearable bio and chemical sensors

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    Chemical and biochemical sensors have experienced tremendous growth in the past decade due to advances in material chemistry combined with the emergence of digital communication technologies and wireless sensor networks (WSNs) [1]. The emergence of wearable chemical and biochemical sensors is a relatively new concept that poses unique challenges to the field of wearable sensing. This is because chemical sensors have a more complex mode of operation, compared to physical transducers, in that they must interact in some manner with specific molecular targets in the sample medium. To understand the challenges in developing wearable chemical and biochemical sensors the traits of these devices will be discussed in this introductory section. Following this the potential parameters of interest are presented and examples of wearable systems are discussed. A range of sampling techniques and methods of chemical sensing are presented along with integration issues and design challenges. Finally, some of the main application areas of this novel technology are discussed

    Surface Electromyographic (sEMG) Transduction of Hand Joint Angles for Human Interfacing Devices (HID)

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    This is an investigation of the use of surface electromyography (sEMG) as a tool to improve human interfacing devices (HID) information bandwidth through the transduction of the fingertip workspace. It combines the work of Merletti et al and Jarque-Bou et al to design an open-source framework for Fingertip Workspace based Human Interfacing Devices (HID). In this framework, the fingertip workspace is defined as the system of forearm and hand muscle force through a tensor which describes hand anthropometry. The thesis discusses the electrophysiology of muscle tissue along with the anatomy and physiology of the arm in pursuit of optimizing sensor location, muscle force measurements, and viable command gestures. Algorithms for correlating sEMG to hand joint angle are investigated using MATLAB for both static and moving gestures. Seven sEMG spots and Fingertip Joint Angles recorded by Jarque Bou et al are investigated for the application of sEMG to Human Interfacing Devices (HID). Such technology is termed Gesture Computer Interfacing (GCI) and has been shown feasible through devices such as CTRL Labs interface, and models such as those of Sartori, Merletti, and Zhao. Muscles under sEMG spots in this dataset and the actions related to them are discussed, along with what muscles and hand actions are not visible within this dataset. Viable gestures for detection algorithms are discussed based on the muscles discerned to be visible in the dataset through intensity, spectral moment, power spectra, and coherence. Detection and isolation of such viable actions is fundamental to designing an EMG driven musculoskeletal model of the hand needed to facilitate GCI. Enveloping, spectral moment, power spectrum, and coherence analysis are applied to a Sollerman Hand Function Test sEMG dataset of twenty-two subjects performing 26 activities of living to differentiate pinching and grasping tasks. Pinches and grasps were found to cause very different activation patterns in sEMG spot 3 relating to flexion of digits I - V. Spectral moment was found to be less correlated with differentiation and provided information about the degree of object manipulation performed and extent of fatigue during each task. Coherence was shown to increase between flexors and extensors with intensity of task but was found corrupted by crosstalk with increasing intensity of muscular activation. Some spectral results correlated between finger flexor and extensor power spectra showed anticipatory coherence between the muscle groups at the end of object manipulation. An sEMG amplification system capable of capturing HD-sEMG with a bandwidth of 300 and 500 Hz at a sampling frequency of 2 kHz was designed for future work. The system was designed in ordinance with current IEEE research on sensor-electrode characteristics. Furthermore, discussion of solutions to open issues in HD-sEMG is provided. This work did not implement the designed wristband but serves as a literature review and open-source design using commercially available technologies

    Soft Electronics and Sensors for Wearable Healthcare Applications

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    Wearable electronics are becoming increasingly essential to personalized medicine by collecting and analyzing massive amounts of biological signals from internal organs, muscles, and blood vessels. Conventional rigid electronics may lead to motion artifacts and errors in collected data due to the mismatches in mechanical properties between human skin. Instead, soft wearable electronics provide a better platform and interface that can form intimate contact and conformably adapt to human skin. In this respect, this thesis focuses on new materials formulation, fabrication, characterization of low-cost, high sensitivity and reliable sensors for wearable health monitoring applications. More specifically, we have studied the silver nanoparticles (AgNPs) inkjet-printed on a polydimethylsiloxane (PDMS) substrate that offers great pressure sensitivity for aterial pulse monitoring. In addition, we have investigated the conducting polymer poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and poly(ethylene oxide) PEO polymer blends that exhibit low sheet resistance and can resist up to 50\% of tensile strain. The highly stretchable thin film can serve as interconnects between electronic components and dry electrodes for photoplethysmography (PPG) and electrocardiography (ECG) recordings. Based on the developed PEDOT:PSS solution with high conductivity, we fabricated a porous PDMS sponge coated with conductive PEDOT:PSS to make electrodes with reduced electrode-skin contact impedance, improved signal-to-noise ratio and is suited for long-term and motion-artifact-tolerant recording of high quality biopotential signals including ECG and electromyography (EMG). Finally, we demonstrated a multimodal sensor based on the porous PEDOT:PSS/PDMS sponge for sensing and distinguishing of pressure, strain and temperature from different trends in resistance and capacitance response. Applications including object detection, gesture recognition and temperature sensing have all been demonstrated. In this thesis, the proposed materials, sensor design, low-cost inkjet printing and dip-coating fabrication process open the possibility for more complex epidermal wearable health monitoring electronic systems

    Epidermal sensors for monitoring skin physiology

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    Wearable sensors are revolutionizing personalised healthcare and have continuously progressed over the years in both research and commercialization. However, most efforts on wearable sensors have been focused on tracking movement, spatial position and continuous monitoring of vital signs such as heart rate or respiration rate. Recently, there is a demand to obtain biochemical information from the body using wearables. This demand stems from an individuals’ desire for improved personal health awareness as well as the drive for doctors to continuously obtain medical information for a patients’ disease management. Epidermal sensors are a sub-class of wearable sensors that can intimately integrate with skin and have the potential for monitoring physical changes as well as detecting biomarkers within skin that can be related to human health. The holy grail for these types of sensors is to achieve continuous real-time monitoring of the state of an individual and the development of these sensors are paving the way towards personalised healthcare. However, skin is highly anisotropic which makes it challenging to keep epidermal sensors in consistent contact with skin. It is important that these sensors remain in contact with skin in order to measure its electrical properties and acquire high fidelity signals. The key objective of this thesis is to develop thin conformable, stretchable epidermal sensors for tracking changes in skin physiology. The initial iteration of the screen printed epidermal sensor comprised of a flexible silver film. Impedance spectroscopy was used to understand the electrical signals generated on skin and it was used to measure relative changes due to varying water content. However, this iteration was more suited for single use. The next chapters explore different ink formulations and adherence methodologies to enhance the epidermal sensors adherence to skin. Impedance spectroscopy was used to characterise the electrical signals from these different epidermal sensor iterations, while tensile testing and on-body assessment was used to characterise its mechanical properties. The final chapter focused on investigating the use of phenyl boronic acid (PBA) functionalized hydrogels to modify the epidermal sensor with responsive hydrogel materials to enable chemical sensing of analytes relevant to skin physiology. Impedance spectroscopy was used to characterise and understand the electrical signals generated by the binding interaction of the PBA and analytes using the sensor. Overall, the work demonstrates the challenges of developing these epidermal sensors as well as presenting their potential for continuous monitoring of human skin in the future

    Advance in Energy Harvesters/Nanogenerators and Self-Powered Sensors

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    This reprint is a collection of the Special Issue "Advance in Energy Harvesters/Nanogenerators and Self-Powered Sensors" published in Nanomaterials, which includes one editorial, six novel research articles and four review articles, showcasing the very recent advances in energy-harvesting and self-powered sensing technologies. With its broad coverage of innovations in transducing/sensing mechanisms, material and structural designs, system integration and applications, as well as the timely reviews of the progress in energy harvesting and self-powered sensing technologies, this reprint could give readers an excellent overview of the challenges, opportunities, advancements and development trends of this rapidly evolving field

    Proceedings of the 94th Annual Virginia Academy of Science Meeting, 2016

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    Full proceedings of the 94th Annual Virginia Academy of Science Meeting, May 18-20, 2016, at University of Mary Washington, Fredericksburg, VA

    Novel chemical sensors based on Boronic acids for glucose detection

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    Boronic acid (BA) derivatives have been exploited for their strong and reversible interactions with diol-containing compounds for the recognition of saccharides, such as glucose. Combining BA groups and fluorescent moieties can allow for sugar concentrations to be monitored by changes in fluorescence. In this thesis, two approaches based on BA sensing capabilities are investigated. In a direct sensing approach, the BA group is covalently attached to the fluorescent reporter group. Conversely, in an indirect sensing approach, a two-component system is created when the BA group and fluorophore are incorporated in to separate molecules. A direct sensing approach is described in Chapter 2, where the BA derivatives employed contain a quinoline-5-carboxylic acid functionality. These BA fluorescent sensors were investigated for their glucose sensing capabilities in solutions of various pH and when immobilised on to a ‘lens-like’ platform. An indirect sensing approach is described in Chapter 3, where a BA-cationic pyrimidinium molecule, induced fluorescence quenching in an anionic fluorophore (7-hydroxycoumarin). On introducing glucose, the fluorescence was recovered. This sensing system was investigated in solutions of various pH. Chapter 4 details the synthesis of a new family of BA-monomers. These monomers were characterised by 11B NMR and fluorescence in the absence and presence of glucose. In Chapter 5, the BA-monomers described in Chapter 4 were investigated for indirect sensing with the anionic fluorophore pyranine in solution and in hydrogels. Finally, in Chapter 6, additional strategies for the integration of a two-component sensing in to hydrogel matrices are investigated. The aim of this research is the development of novel sensing systems that could be integrated in to a continuous glucose-monitoring device. Such a platform could offer diabetics personal control over monitoring their glucose levels, to aid the prevention of the side effects associated with the disease
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