2023
DOI: 10.1126/scirobotics.add1002
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Deployment of an electrocorticography system with a soft robotic actuator

Abstract: Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epileptogenic regions of the brain and facilitate lesion resection surgery and increasingly explored in brain-machine interface applications. Current devices display limitations that require trade-offs among cortical surface coverage, spatial electrode resolution, aesthetic, and risk consequences and often limit the use of the mapping technology to the operating room. In this work, we report on a scalable technique f… Show more

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Cited by 29 publications
(15 citation statements)
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“…One may imagine that an artificial nurse may work with an experienced surgeon to remotely operate on highly infectious patients in a virtual hospital. To realize this ultimate dream, soft bioelectronics researchers have designed and applied various soft wearable sensors in human-computer/machine interactions, Internet-of-thing, biomedical engineering, surgical assistance, and perception technologies. Soft electronics can extract target biological or physical information from the surrounding environment and provide a promising strategy to enable soft robots with human-like performance. Various skin-integrated soft electronics and stimuli-responsive materials have been developed for further augmenting the abilities of soft robotic devices by mimicking the comprehensive capabilities of human sensing systems.…”
Section: Case Studies and Testbeds Of Ldn-based Soft Wearable Electro...mentioning
confidence: 99%
“…One may imagine that an artificial nurse may work with an experienced surgeon to remotely operate on highly infectious patients in a virtual hospital. To realize this ultimate dream, soft bioelectronics researchers have designed and applied various soft wearable sensors in human-computer/machine interactions, Internet-of-thing, biomedical engineering, surgical assistance, and perception technologies. Soft electronics can extract target biological or physical information from the surrounding environment and provide a promising strategy to enable soft robots with human-like performance. Various skin-integrated soft electronics and stimuli-responsive materials have been developed for further augmenting the abilities of soft robotic devices by mimicking the comprehensive capabilities of human sensing systems.…”
Section: Case Studies and Testbeds Of Ldn-based Soft Wearable Electro...mentioning
confidence: 99%
“…For example, electronic dura mater exploits microfluidic channels for concurrent electrical and chemical neuromodulation , (Figure a, iii). In another example, the integration of microfluidic actuation systems with deformable electrophysiological sensing components based on patterned Au nanofilms enables a deployable intracranial ECoG recording system (Figure a, iv).…”
Section: Materials and Device Designs Of Soft Nanobioelectronicsmentioning
confidence: 99%
“…Recent advances in soft functional materials have shown potential to revolutionize biomedical technologies, healthcare, manufacturing, wearables, and robotic systems for minimally invasive surgeries [1][2][3][4][5][6][7][8][9][10] with exceptional biocompatibility, [11,12] inherent mechanical compliance, and quick adaptability to environmental changes. [13,14] For soft robots, a soft actuation system is required to interact with its surroundings.…”
Section: Introductionmentioning
confidence: 99%
“…[13,14] For soft robots, a soft actuation system is required to interact with its surroundings. The actuation system may generate reaction forces via pressure, [10,15,16] DOI: 10.1002/admt.202301584 thermal, [17,18] and electric and magnetic field [19,20] driven stimuli without the use of rigid materials. Amongst electric fielddriven soft actuators, ionic electroactive polymers are very attractive actuators that exhibit low impedance and require only a few volts for deformation, [21,22] promoting safe electronic interfaces when working in close contact with humans.…”
Section: Introductionmentioning
confidence: 99%