Soft Implantable Bioelectronics

ACS Materials Letters, Journal Year: 2021, Volume and Issue: 3(11), P. 1528 - 1540

Published: Sept. 30, 2021

Contemporary implantable bioelectronic devices are typically made of high-quality metals and inorganic materials. However, their rigid flat nature, especially in bulk state, pose critical challenges for long-term signal monitoring feedback stimulation vivo because the following issues: (i) nonconformal contact with tissue surface, (ii) mechanical modulus mismatch at biotic-abiotic interface, (iii) chronic immune response potential inflammatory reactions. Therefore, to develop bioelectronics stability vivo, properties should be extremely soft similar those tissues. Such features have been achieved by adopting ultrathin stretchable device structures strain-dissipative More recently, multifunctional materials that feature softness, biocompatibility, biodegradability, self-healing capabilities applied various electronic implants. Herein, we provide a brief review devices, particularly form conformal robust interface target tissues, such as brain, heart, peripheral nerves. Strategies materials, deformable designs, other methods implantation discussed.

Language: Английский

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Triboelectric Nanogenerators for Cellular Bioelectrical Stimulation

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(34)

Published: May 21, 2022

Abstract Triboelectric nanogenerators (TENGs) are an efficient state‐of‐the‐art kinetic energy‐harvesting technology based on the combination of triboelectrification and electrostatic induction to generate electrical energy from ambient mechanical energy. Bioelectricity is a quintessential characteristic living organisms has crucial role in physiological medical sciences. Living cells capable generating signals responding stimulation, which known be key properties that regulate cellular behaviors cell–microenvironment interactions. TENGs, with advantages miniaturization efficiency, notably exploited efforts provide self‐powered stimulation for functional modulation or fate determination, leading new methodology biology science. In this review, progress, challenges, future prospects bioelectrical TENGs focused. The regulation activity involved determination stimulated by highlighted. Furthermore, application cell changes stressed tissue regeneration, function rehabilitation, electroporation‐based drug delivery disease therapy. Finally, challenges opportunities using presented engineering biosciences health care.

Language: Английский

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Conductive Polymer Enabled Biostable Liquid Metal Electrodes for Bioelectronic Applications

Advanced Healthcare Materials, Journal Year: 2022, Volume and Issue: 11(11)

Published: Feb. 3, 2022

Gallium (Ga)-based liquid metal materials have emerged as a promising material platform for soft bioelectronics. Unfortunately, Ga has limited biostability and electrochemical performance under physiological conditions, which can hinder the implementation of its use in bioelectronic devices. Here, an effective conductive polymer deposition strategy on surface to improve Ga-based metals conditions is demonstrated. The [poly(3,4-ethylene dioxythiophene):tetrafluoroborate]-modified significantly outperforms metal.based electrode mechanical, biological, studies. In vivo action potential recordings behaving nonhuman primate invertebrate models demonstrate feasibility using electrodes high-performance neural recording applications. This first demonstration single-unit devices date. results determine that over properties open numerous design opportunities next-generation metal-based

Language: Английский

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Strategies for interface issues and challenges of neural electrodes

Nanoscale, Journal Year: 2022, Volume and Issue: 14(9), P. 3346 - 3366

Published: Jan. 1, 2022

Examples of neural electrodes with different charge transfer mechanisms.

Language: Английский

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Stable in-vivo electrochemical sensing of tonic serotonin levels using PEDOT/CNT-coated glassy carbon flexible microelectrode arrays.

Biosensors and Bioelectronics, Journal Year: 2023, Volume and Issue: 230, P. 115242 - 115242

Published: March 21, 2023

Language: Английский

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Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey

Journal of Neural Engineering, Journal Year: 2023, Volume and Issue: 20(2), P. 021001 - 021001

Published: March 27, 2023

Objective. Spike sorting is a set of techniques used to analyze extracellular neural recordings, attributing individual spikes neurons. This field has gained significant interest in neuroscience due advances implantable microelectrode arrays, capable recording thousands neurons simultaneously. High-density electrodes, combined with efficient and accurate spike systems, are essential for various applications, including brain machine interfaces (BMIs), experimental prosthetics, real-time neurological disorder monitoring, research. However, given the resource constraints modern relying solely on algorithmic innovation not enough. Instead, co-optimization approach that combines hardware algorithms must be taken develop systems suitable resource-constrained environments, such as wearable devices BMIs. co-design requires careful consideration when selecting appropriate spike-sorting match specific use cases.Approach. We investigated recent literature sorting, both terms advancements innovations. Moreover, we dedicated special attention identifying algorithm-hardware combinations, their respective real-world applicabilities.Main results. In this review, first examined current progress algorithms, described departure from conventional '3-step' favor more advanced template matching or machine-learning-based techniques. Next, explored innovative options, application-specific integrated circuits, field-programmable gate in-memory computing (IMCs). Additionally, challenges future opportunities discussed.Significance. comprehensive review systematically summarizes latest demonstrates how they enable researchers overcome traditional obstacles unlock novel applications. Our goal work serve roadmap seeking identify most implementations settings. By doing so, aim facilitate advancement exciting promote development solutions drive engineering

Language: Английский

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Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications

Progress in Biomedical Engineering, Journal Year: 2023, Volume and Issue: 5(1), P. 013002 - 013002

Published: Jan. 1, 2023

Abstract Bioelectronic medicine treats chronic diseases by sensing, processing, and modulating the electronic signals produced in nervous system of human body, labeled ‘neural signals’. While circuits have been used for several years this domain, progress microelectronic technology is now allowing increasingly accurate targeted solutions therapeutic benefits. For example, it becoming possible to modulate specific nerve fibers, hence targeting diseases. However, fully exploit approach crucial understand what aspects are important, effect stimulation, circuit designs can best achieve desired result. Neuromorphic represent a promising design style achieving goal: their ultra-low power characteristics biologically plausible time constants make them ideal candidate building optimal interfaces real neural processing systems, enabling real-time closed-loop interactions with biological tissue. In paper, we highlight main features neuromorphic that ideally suited interfacing show how they be build hybrid artificial systems. We present examples computational primitives implemented carrying out computation on sensed these systems discuss way use outputs stimulation. describe applications follow approach, open challenges need addressed, propose actions required overcome current limitations.

Language: Английский

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Soft Bioelectronics Using Nanomaterials and Nanostructures for Neuroengineering

Accounts of Chemical Research, Journal Year: 2024, Volume and Issue: 57(11), P. 1633 - 1647

Published: May 16, 2024

ConspectusThe identification of neural networks for large areas and the regulation neuronal activity at single-neuron scale have garnered considerable attention in neuroscience. In addition, detecting biochemical molecules electrically, optically, chemically controlling functions are key research issues. However, conventional rigid bulky bioelectronics face challenges applications, including mechanical mismatch, unsatisfactory signal-to-noise ratio, poor integration multifunctional components, thereby degrading sensing modulation performance, long-term stability biocompatibility, diagnosis therapy efficacy. Implantable been developed to be mechanically compatible with brain environment by adopting advanced geometric designs utilizing intrinsically stretchable materials, but such advances not able address all aforementioned challenges.Recently, exploration nanomaterial synthesis nanoscale fabrication strategies has facilitated design unconventional soft properties similar those tissues submicrometer-scale resolution comparable typical neuron sizes. The introduction nanotechnology provided improved spatial resolution, selectivity, single targeting, even multifunctionality. As a result, this state-of-the-art integrated two main types, i.e., synthesized nanomaterials structures. functional can assembled compose bioelectronics, allowing easy customization their functionality meet specific requirements. unique structures implemented could maximize performance terms stimulation. Such nanobioelectronics demonstrated applicability recording over long period intracellular level incorporation multiple functions, as electrical, optical, chemical stimulation functions.In Account, we will discuss technical pathways implementing nanostructures application neuroengineering. We traced historical development from deformable devices conform neuroengineering Recent approaches that introduced into enhanced spatiotemporal endowed various device functions. These nanobioelectronic technologies discussed categories: describe nanomaterial-integrated exhibiting functionalities modalities depending on nanomaterials. Meanwhile, explained superior administration methods. also exemplified applications across modalities, showcasing clinical treatment neurological diseases, tumors, epilepsy, Parkinson's disease. Finally, direction next-generation technologies.

Language: Английский

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Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces

Biosensors and Bioelectronics, Journal Year: 2024, Volume and Issue: 260, P. 116446 - 116446

Published: May 28, 2024

Understanding brain function is essential for advancing our comprehension of human cognition, behavior, and neurological disorders. Magnetic resonance imaging (MRI) stands out as a powerful tool exploring function, providing detailed insights into its structure physiology. Combining MRI technology with electrophysiological recording system can enhance the functionality through synergistic effects. However, integration neural implants presents challenges because strong electromagnetic (EM) energy during scans. Therefore, MRI-compatible should facilitate investigation activities functions in real-time high resolution, without compromising patient safety quality. Here, we introduce fully monolayer pristine open-mesh PEDOT:PSS interface. This approach addresses encountered while using traditional metal-based electrodes environment such induced heat or artifacts. has diamagnetic property lower electrical conductivity negative magnetic susceptibility similar to tissues. Furthermore, by adopting optimized structure, currents generated EM are significantly diminished, leading compatibility. Through simulations experiments, PEDOT:PSS-based showed improved performance reducing generation eliminating artifacts an environment. The capability was also validated measuring local field potential (LFP) from somatosensory cortex vivo experiment. development maximized compatibility indicates possibility tools future diagnostics.

Language: Английский

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An integrated deep learning model for motor intention recognition of multi-class EEG Signals in upper limb amputees

Computer Methods and Programs in Biomedicine, Journal Year: 2021, Volume and Issue: 206, P. 106121 - 106121

Published: April 21, 2021

Language: Английский

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