Publications by authors named "Sangwoo Hong"

Article Synopsis
  • - Recent advancements in medical, robotics, and wearable tech focus on biosignal sensors that collect biological data for evaluating well-being, predicting behavior, and aiding in disease management.
  • - The review categorizes these sensors into three types: biophysical (detecting physical changes), bioelectric (measuring electrical signals from the body), and biochemical (analyzing biological fluids), while discussing their limitations and potential improvements.
  • - The paper emphasizes the role of deep learning in processing biosignals and improving human-machine interactions, aiming to better the understanding and future development of nanomaterial-based biosignal sensors.
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Due to emerging demands in soft electronics, there is an increasing need for material architectures that support robust interfacing between soft substrates, stretchable electrical interconnects, and embedded rigid microelectronics chips. Though researchers have adopted rigid-island structures to solve the issue, this approach merely shifts stress concentrations from chip-conductor interfaces to rigid-island-soft region interfaces in the substrate. Here, a gradient stiffness-programmed circuit board (GS-PCB) that possesses high stretchability and stability with surface mounted chips is introduced.

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Stable outdoor wearable electronics are gaining attention due to challenges in sustaining consistent device performance outdoors, where sunlight exposure and user movement can disrupt operations. Currently, researchers have focused on integrating radiative coolers into wearable devices for outdoor thermal management. However, these approaches often rely on heat-vulnerable thermoplastic polymers for radiative coolers and strain-susceptible conductors that are unsuitable for wearable electronics.

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