On-skin paintable biogel for long-term high-fidelity electroencephalogram recording

Wang, Chunya; Wang, Haoyang; Wang, Binghao; Miyata, Hiroo; Wang, Yan; Nayeem, Md Osman Goni; Kim, Jae Joon; Lee, Sung-Hoon; Yokota, Tomoyuki; Oda, Hiroshi

doi:10.1126/sciadv.abo1396

Cited by 104 publications

(77 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adhesive properties on porcine skin and human skin are then evaluated (Figure E). The interfacial toughness of the tape on dry and wet human skin can reach beyond 180 and 150 N/m, respectively, which are much better than that of many on-skin electronics. − Due to the high cohesion and reversible adhesion, the tape is reusable that can retain the high interfacial toughness during cyclic attach/detach tests under different skin conditions (Figure F).…”

Section: Resultsmentioning

confidence: 99%

Press-N-Go On-Skin Sensor with High Interfacial Toughness for Continuous Healthcare Monitoring

Hou

Cao

et al. 2023

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

On-skin electronic sensors are demanded for healthcare monitoring such as the continuous recording of biopotential and motion signals from patients. However, the mechanical mismatches and poor interface adhesion at the skin/sensor interfaces always cause high interfacial impedance and artifacts, frequent interfacial failure, and unexpected depletion of the device, which significantly limit the performance of the sensors. We here develop an on-skin sensor based on a conductive pressure-sensitive tape, which is assembled from supramolecular dual-cross-linked hydrogel composites. Both covalent and noncovalent cross-links in the hydrogel networks could harvest high flexibility, pressure-sensitive adhesion, and high interfacial toughness altogether, enabling a convenient “Press-N-Go” application of the sensor on human skin without additional pre/post-treatment on the skin or the senor. The high conformability and low resistivity of the tape can sustainably lower the interfacial impedance and thus improve signal quality in various measurement conditions. Our design provides a feasible path to develop interface-toughened on-skin electronics, which is desired in dynamic human–machine interfaces.

show abstract

Section: Resultsmentioning

confidence: 99%

Press-N-Go On-Skin Sensor with High Interfacial Toughness for Continuous Healthcare Monitoring

Hou

Cao

et al. 2023

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

show abstract

“…Besides, the PAAS-MXene can be easily peeled off like a Bandaid without leaving a trace and allergic reaction (Figure S10). And when the PAAS-MXene is soaked in water, 46 the peeling will be much easier (Figure S11). Because the HMI is in contact with the epidermis, PAAS-MXene has good biocompatibility.…”

Section: Characterization Of Paas-mxene Hmimentioning

confidence: 99%

MXene-Enabled Self-Adaptive Hydrogel Interface for Active Electroencephalogram Interactions

et al. 2022

View full text Add to dashboard Cite

Human–machine interaction plays a significant role in promoting convenience, production efficiency, and usage experience. Because of the universality and characteristics of electroencephalogram (EEG) signals, active EEG interaction is a promising and cutting-edge method for human–machine interaction. The seamless, skin-compliant, and motion-robust human–machine interface (HMI) for active EEG interaction has been in focus. Herein, we report a self-adaptive HMI (PAAS-MXene hydrogel) that can activate rapid gelation (5 s) using MXene cross-linking and conformably self-adapt to the scalp to help improve signal transduction. In addition to exhibiting satisfactory skin compliance, appropriate adhesion, and good biocompatibility, PAAS-MXene has demonstrated electrical performance reliability, such as low impedance (<50 Ω) at physiologically relevant frequencies, stable polarization potential (the rate of change is less than 6.5 × 10–4 V/min), negligible ion conductivity, and impedance change after 1000 stretch cycles, thereby realizing acquisition of EEG signals. In addition, a cap-free EEG signal acquisition method based on PAAS-MXene has been proposed. These findings confirm the high-precision detection ability of PAAS-MXene for electrocardiogram signals and EEG signals. Therefore, PAAS-MXene offers an option to actively control intention, motion, and vision through active EEG signals.

show abstract

“…[1] These ionic elastomers, also known as ionic skins, can not only adhere on human skin for motion or electrophysiology monitoring, but also adapt to soft robots and machines as the sensing and protecting layer to fully replicate human skin's functions. [2,3] While self-healability and ionic conduc-damping elastomers without recalling glass transition. Nevertheless, the premised permanent network for constraining the random reptation of dissipating chains hinders efficient selfhealability.…”

Section: Introductionmentioning

confidence: 99%

Highly Damping and Self‐Healable Ionic Elastomer from Dynamic Phase Separation of Sticky Fluorinated Polymers

Xiang

et al. 2023

Advanced Materials

View full text Add to dashboard Cite

tion are easily imparted via designing ion-involving supramolecular polymer networks, the resistance of ionic skins to various damages is considered to be a quite challenging task without sacrificing the other properties. Noteworthily, human-like bionic soft robots may be frequently exposed to sudden shocks, strikes, or mechanical agitations with low-frequency vibrations (0.1-50 Hz), which will likely incur the malfunction or fatigue failure of internal fragile electronic elements. [4,5] Despite the recent progress in toughening self-healable ionic skins by supramolecular networks, phase separations, or hard domains to resist global and crack-related damages, [6][7][8][9] rare reports focus on improving its mechanical damping performance to isolate or eliminate the equally important shock-induced vibration damages.Damping generally describes the attenuation of unwanted vibrations by dissipating shock-related mechanical energy into heat by means of spatial momentum transfer driven by velocity gradient. [10] For elastomers, manipulating polymer viscoelasticity to enhance internal molecular frictions is considered to be the key to improving damping capacity. [11,12] In principle, when the time scales of viscoelastic relaxation and vibration are comparable (i.e., the ratio of relaxation time to vibration time defined as Deborah number, D e , is approximate to 1), maximum damping can be realized. [5,13] Unfortunately, most elastomers are poorly damping with a rather low loss factor (tan δ < 0.1) which is defined by the ratio (G′′/G′) of the loss (G′′) to storage moduli (G′). Optimizing the associating dynamics of polymer networks to the gel point can afford very high tan δ values close to 1, yet the elasticity and shape retention of the resulting materials are pretty low. [14][15][16] Shifting or broadening the glass transition region with an apparent tan δ peak to the working temperature/frequency range has been widely utilized to optimize elastomer's damping performance by copolymerization, [17] polymer blending, [18] interpenetrating network, [5,19] incorporating granules, [20] metal coordination, [21] dynamic networks, [22] etc. However, materials at the glass transition region have often limited stretchability and elastic recovery, and the relatively high moduli also hamper ionic skin-related applications in soft electronics and robotics. Alternatively, introducing additional relaxation components such as dangling chains, [13,23] polymer fluids, [12] and nematic liquid crystal orders [24] into an elastic network has been recently reported to produce highly Shock-induced low-frequency vibration damage is extremely harmful to bionic soft robots and machines that may incur the malfunction of fragile electronic elements. However, current skin-like self-healable ionic elastomers as the artificial sensing and protecting layer still lack the ability to dampen vibrations, due to their almost opposite design for molecular frictions to material's elasticity. Inspired by the two-phase structure of adipose tissue (the natura...

show abstract

On-skin paintable biogel for long-term high-fidelity electroencephalogram recording

Cited by 104 publications

References 42 publications

Press-N-Go On-Skin Sensor with High Interfacial Toughness for Continuous Healthcare Monitoring

Press-N-Go On-Skin Sensor with High Interfacial Toughness for Continuous Healthcare Monitoring

MXene-Enabled Self-Adaptive Hydrogel Interface for Active Electroencephalogram Interactions

Highly Damping and Self‐Healable Ionic Elastomer from Dynamic Phase Separation of Sticky Fluorinated Polymers

Contact Info

Product

Resources

About