Gel-Free Wearable Electroencephalography (EEG) with Soft Graphene Textiles

Golparvar, Ata; Öztürk, Özberk; Yapıcı, Murat Kaya

doi:10.1109/sensors47087.2021.9639711

Cited by 14 publications

(6 citation statements)

References 24 publications

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“…Graphene-coated textile yarns (e-textile) have been investigated as sensing electrodes for long-term repeated on-skin signal monitoring, including EOG, EMG, and EEG. − The GO solution or rGO dispersion are the best choice of materials for dip-coating the yarns (such as nylon, cotton, polyester) to form graphene-coated fibers. , The successful acquisition of the EOG signal by detecting eye movement for a human–computer interface using graphene textile electrodes was first reported by Golpavar et al In this work, the conductive textrodes were fabricated by dipping the fibers on GO solution followed by reduction via hydrazine. The sheet resistance of the prepared electrodes (∼3 × 3 cm) was found ∼20 kΩ /sq.…”

Section: Noninvasive Neural Interfacesmentioning

confidence: 99%

“…The sheet resistance of the prepared electrodes (∼3 × 3 cm) was found ∼20 kΩ /sq. These graphene-coated textiles have also been employed for EEG activities by detecting alpha rhythms from the forehead with an excellent correlation of ∼91% compared to the commercial dry sensors . The one-step dying process with GO and further layer by layer dip-coating process with a conductive polymer (PEDOT/PSS) on nylon-lycra fabrics showed improved conductivity (∼50 kΩ/sq) for detecting ECG signals (shown in Figure c) .…”

Section: Noninvasive Neural Interfacesmentioning

confidence: 99%

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Thin-Film Electrodes Based on Two-Dimensional Nanomaterials for Neural Interfaces

Faisal

Iacopi

2022

ACS Appl. Nano Mater.

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Detection and monitoring of neural signals is a fastadvancing area of research expected to impact a broad range of advanced applications, from healthcare to brain−machine and even brain-to-brain communications. Two-dimensional (2D) layered materials, such as graphene, MXenes, and transition metal dichalcogenides, could lead to the development of superior and ultrathin thin-film electrodes for neural interfaces thanks to their atomic thickness, high-conductivity properties, and potential to combine additional functionalities. This review focuses on the recent advancement of 2D materials-based thin-film sensors for monitoring of bio-physiological signals using invasive and noninvasive approaches.

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Section: Noninvasive Neural Interfacesmentioning

confidence: 99%

Section: Noninvasive Neural Interfacesmentioning

confidence: 99%

Thin-Film Electrodes Based on Two-Dimensional Nanomaterials for Neural Interfaces

Faisal

Iacopi

2022

ACS Appl. Nano Mater.

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“…Paper-based electrodes are fabricated using inkjet printing [ 91 , 92 ], spin coating [ 93 ], and screen-printing [ 94 ]. However, Golparvar et al [ 57 , 95 , 96 ] introduced wearable graphene textiles with a different fabrication process [ 57 ]. First, an ordinary textile is dipped in a graphene oxide (GO) solution.…”

Section: Eog Signalsmentioning

confidence: 99%

Advances in Materials, Sensors, and Integrated Systems for Monitoring Eye Movements

et al. 2022

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Eye movements show primary responses that reflect humans' voluntary intention and conscious selection. Because visual perception is one of the fundamental sensory interactions in the brain, eye movements contain critical information regarding physical/psychological health, perception, intention, and preference. With the advancement of wearable device technologies, the performance of monitoring eye tracking has been significantly improved. It also has led to myriad applications for assisting and augmenting human activities. Among them, electrooculograms, measured by skin-mounted electrodes, have been widely used to track eye motions accurately. In addition, eye trackers that detect reflected optical signals offer alternative ways without using wearable sensors. This paper outlines a systematic summary of the latest research on various materials, sensors, and integrated systems for monitoring eye movements and enabling human-machine interfaces. Specifically, we summarize recent developments in soft materials, biocompatible materials, manufacturing methods, sensor functions, systems' performances, and their applications in eye tracking. Finally, we discuss the remaining challenges and suggest research directions for future studies.

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“…Skin-interfaced point-of-care devices are well-recognized for their multiplex detection capabilities. They enable noninvasive and reliable measurement of the human body's critical biochemical, biophysical, and kinematic information in the comfort of at-home monitoring [1][2][3] . Among them, sweat, a readily available body fluid, received significant attention in probing physiological and pathological conditions of the human body due to its rich source of biomarkers, including metabolites, electrolytes, hormones, and unmetabolized pharmaceutical drugs 4 .…”

Section: Introductionmentioning

confidence: 99%

Optical urea sensing in sweat for kidney healthcare by sensitive and selective non-enhanced Raman spectroscopy

Golparvar¹,

Boukhayma²,

Petrelli

et al. 2023

Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics

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Sweat biomarker analysis has attracted much interest in applications ranging from sports to wearable healthcare. Among all the sweat biomolecules, abnormal urea levels have been linked to several complications, particularly renal dysfunction. Here, we report the first application of non-enhanced (i.e., spontaneous) Raman spectroscopy for urea sensing in sweat. The proposed method eliminates the need for plasmonic surface fabrication for surface enhancement or bulky ultrashort-pulsed lasers for coherent enhancement. The exploitation of non-enhanced Raman was made possible because the concentration of urea in sweat, due to sweat physiology, is significantly higher with respect to urea concentration in blood. To demonstrate the feasibility of the proposed technique, we first identified the most intense urea Raman band. We then investigated the feasibility of the single-band integration data analysis to predict urea concentration in buffer solution. Single-band data analysis holds great promise for instrument miniaturization and facilitates the effort toward mobile and wearable photonic technologies. Next, we provided firm evidence of the high selectivity of the proposed sensing concept with human sweat in vitro. Finally, we reported successful ex vivo physiological sweat urea monitoring (with artificial eccrine perspiration, the closest mimic to true human eccrine sweat) on a porcine phantom, which mimics human skin, proving the potential of the proposed technique for in situ sweat urea analysis. We recorded an excellent linear calibration for urea concentrations from 0 to 60 mM with R2 value of 0.9973, high sensitivity of 3521 count/mM, and low detection and quantification limits of 0.47 and 1.33 mM, respectively.

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Gel-Free Wearable Electroencephalography (EEG) with Soft Graphene Textiles

Cited by 14 publications

References 24 publications

Thin-Film Electrodes Based on Two-Dimensional Nanomaterials for Neural Interfaces

Thin-Film Electrodes Based on Two-Dimensional Nanomaterials for Neural Interfaces

Advances in Materials, Sensors, and Integrated Systems for Monitoring Eye Movements

Optical urea sensing in sweat for kidney healthcare by sensitive and selective non-enhanced Raman spectroscopy

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