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Phase-change metal ink with pH-controlled chemical sintering for versatile and scalable fabrication of variable stiffness electronics

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science Advances 2025年第22期11卷

作者： Simok Lee Gun-Hee Lee Inho Kang Woojin Jeon Semin Kim Yejin Ahn Choong Yeon Kim Do A Kwon Michael D. Dickey Steve Park Seongjun Park Jae-Woong Jeong School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea. Medical Research Center Seoul National University Seoul 03080 Republic of Korea. Departments of Cogno-Mechatronics Engineering and Optics and Mechatronics Engineering Pusan National University Busan 46241 Republic of Korea. Graduate School of Semiconductor Technology Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea. KAIST Information and Electronics Research Institute Daejeon 34141 Republic of Korea. Research Laboratory of Electronics Massachusetts Institute of Technology (MIT) Cambridge MA 02139 USA. Department of Mechanical Engineering Massachusetts Institute of Technology (MIT) Cambridge MA 02139 USA. Department of Chemical and Biomolecular Engineering North Carolina State University (NCSU) Raleigh NC 27606 USA. Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea. KAIST Institute for NanoCentury Daejeon 34141 Republic of Korea. Department of Biomedical Sciences College of Medicine Seoul National University Seoul 03080 Republic of Korea. School of Transdisciplinary Innovations Seoul National University Seoul 03080 Republic of Korea. Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul 08826 Republic of Korea. Department of Transdisciplinary Medicine Seoul National University Hospital Seoul 03080 Republic of Korea. KAIST Institute for Health Science and Technology Daejeon 34141 Republic of Korea.

Variable stiffness electronics represent the forefront of adaptive technology, integrating rigid and soft electronics in a single system through dynamic mechanical modulation. While gallium’s high modulus tuning ratio and rapid phase transitions make it ideal for transformative electronic systems (TES), its liquid-state instability, high surface tension, and unintended phase transitions during processing pose substantial challenges. Here, we introduce STiffness-Adjustable temperature-Responsive ink (STAR ink), a chemically sinterable gallium composite electronic ink designed to overcome these obstacles. STAR ink enables high-resolution (~50 micrometers) circuit patterning, large-scale batch fabrication, and three-dimensional structure coating at room temperature. Through pH-controlled chemical sintering, STAR ink–based TES exhibits exceptional mechanical tunability (tuning ratio: 1465) and electrical conductivity (2.27 × 106 siemens per meter). Demonstrated applications—from multilayered variable stiffness printed circuit boards (PCBs) matching standard PCBs’ complexity to body-temperature responsive neural probe—underscore STAR ink’s potential for reconfigurable electronics across consumer electronics and biomedical devices.

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Technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Bioinks and bioprinting: A focused review

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Bioprinting 2020年 18卷

作者： Mobaraki, Mohammadmahdi Ghaffari, Maryam Yazdanpanah, Abolfazl Luo, Yangyang Mills, D.K. Department of Biomedical Engineering Amirkabir University of Technology Tehran Iran Molecular Science and Nanotechnology Interdisciplinary Program Louisiana Tech University Ruston 71272 LA United States Center for Biomedical Engineering and School of Biological Sciences Louisiana Tech University Ruston 71272 LA United States

Bioprinting is a process based on additive manufacturing that uses biomaterials as the microenvironment for living cells. These materials often referred to as bioinks, are based on cytocompatible hydrogel precursors, which gel in a manner compatible with different bioprinting approaches. Hydrogels are highly hydrated three-dimensional (3D) networks of cross-linked hydrophilic polymer chains and have been widely explored for use as bioactive delivery agents, cell carriers, consumer products, tissue engineering scaffolds and for wound healing. Hydrogels can be tailored for different chemical, electrical, mechanical, and thermal properties and can even be made to conduct electricity. Recent trends in bioink development have focused on incorporating carbon-based nanomaterials, clay nanomaterials, ceramics, fibers, and growth factors to create hybrid and multi-composite hydrogels. The goal of this review paper is to examine the synergies resulting from the combination of these materials. This review will feature recent advances in this field, focusing on bioink developments and bioprinting applications, and the use of natural and synthetic additives that impart unique, novel, or critical functionalities. © 2020 Elsevier B.V.

关键词： Bioinks Bioprinting Organ replacement Regenerative medicine Tissue regeneration

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Wakefulness estimation only using ballistocardiogram: Nonintrusive method for sleep monitoring

Wakefulness estimation only using ballistocardiogram: Nonint...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Gih Sung Chung Jeong Su Lee Su Hwan Hwang Young Kyu Lim Do-Un Jeong Kwang Suk Park Interdisciplinary Program of Bioengineering Graduate School Seoul National University South Korea Oriental Biomedical Engineering College of Health Science Sangji University South Korea Department of Neuropsychiatry and Division of Sleep Studies and Clinical Research Institute Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea

To evaluate sleep quality or autonomic nervous system, many annoying electrodes have be attached to subjects' body. It can disturb comfortable sleep and, moreover, since it is very expensive experiment, continuous sleep monitoring is difficult. Since heart rate reflects the autonomic nervous system, it is highly synchronized with the sympathetic activation during transition from non-REM sleep to wakefulness. When the transition occurred the heart rate abruptly increased clearly distinguished with other changes. By using this physiology, we tried to classify the wakefulness during the whole night sleep. Our final goal is adopting this method to the continuous monitoring in our daily life. electrocardiogram (ECG) is not the suitable. Subjects have to attach the electrodes by themselves in their housing to obtain ECG. In that point of view, we used the ballistocardiogram (BCG) that is the representative method to obtain heart beat nonintrusively. For ten normal subjects, the wakefulness classifications by using the heart rate dynamics were executed. Nine subjects showed substantial agreement with the visually-scored method, polysomnography (PSG), and only one subject showed moderate agreement in Cohen's kappa value.

关键词： Sleep Heart beat Autonomic nervous system Monitoring Electrodes Electronic mail

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Multivalent‐Interaction‐Driven Assembly of Discrete, Flexible, and Asymmetric Supramolecular Protein Nano‐Prisms

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Angewandte Chemie 2020年第51期132卷 23444-23451页

作者： Suyeong Han Dr. Yu‐na Kim Gyunghee Jo Dr. Young Eun Kim Prof. Dr. Ho Min Kim Dr. Jeong‐Mo Choi Prof. Dr. Yongwon Jung Department of Chemistry Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141 Korea These authors contributed equally to this work. Biomedical Science and Engineering Interdisciplinary Program KAIST Daejeon 34141 Korea Graduate School of Medical Science & Engineering KAIST Daejeon 34141 Korea Center for Biomolecular & Cellular Structure Institute for Basic Science (IBS) Daejeon 34126 Korea Natural Science Research Institute KAIST Daejeon 34141 Korea Department of Chemistry Busan National University Busan 46241 Korea

Multivalent interactions between protein‐oligomer‐fused binding pairs allowed highly monodisperse assembly of two protein oligomers, where spacing between oligomers can be widely varied. Two different oligomers or three oligomers can also be discretely assembled into protein layer structures via this *** approaches to design monodisperse protein assemblies require rigid, tight, and symmetric interactions between oligomeric protein units. Herein, we introduce a new multivalent‐interaction‐driven assembly strategy that allows flexible, spaced, and asymmetric assembly between protein oligomers. We discovered that two polygonal protein oligomers (ranging from triangle to hexagon) dominantly form a discrete and stable two‐layered protein prism nanostructure via multivalent interactions between fused binding pairs. We demonstrated that protein nano‐prisms with long flexible peptide linkers (over 80 amino acids) between protein oligomer layers could be discretely formed. Oligomers with different structures could also be monodispersely assembled into two‐layered but asymmetric protein nano‐prisms. Furthermore, producing higher‐order architectures with multiple oligomer layers, for example, 3‐layered nano‐prisms or nanotubes, was also *** a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the *** note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

关键词： multivalent interaction protein assembly protein design protein engineering protein–protein interactions

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2 x 3 Arrayed CMOS Capacitive Biosensors for Detection of microRNAs on a Microfluidic System

2 x 3 Arrayed CMOS Capacitive Biosensors for Detection of mi...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Yu-Husan Kuo Chi-Chien Huang Yi-Sin Chen Po-Chiun Huang Gwo-Bin Lee Institute of Nano Engineering and Microsystems National Tsing Hua University Hsinchu Taiwan Interdisciplinary Program of Life Science National Tsing Hua University Hsinchu Taiwan National Tsing Hua University Hsinchu Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu Taiwan

ISBN: (数字)9781728172309

ISBN: (纸本)9781728172316

Breast cancer is one of the most important cancers among women worldwide. Since breast cancer is prone to metastasis and recurrence, mortality is relatively high if not diagnosed early. Therefore, it is important to develop a device that can quickly and accurately diagnose breast cancer. Recently, microRNAs such as microRNA-195 and microRNA-126 have been reported to act as biomarkers for breast cancer diagnosis. Therefore, this study reported an integrated microfluidic system capable of extracting microRNAs by microfluidic techniques, detecting and quantifying microRNAs by using complementary-metal-oxide-semiconductor (CMOS) capacitive biosensors for rapid and accurate diagnosis of breast cancer. Monolithic sensor with integrated-circuits reduces parasitic effects and submicron interdigitated microelectrodes as sensing interfaces significantly improves sensitivity. microRNA-195 detection for concentrations ranging from 1 fM to 10 pM could be successfully obtained, allowing detection in physiological conditions for cancer patients in the near future.

关键词： Cancer Breast cancer Microfluidics Biomarkers Capacitance Surface treatment Sensors

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Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review

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IEEE Journal of biomedical and Health Informatics 2023年第8期27卷 3830-3843页

作者： He, Congying Chen, Yu-Yi Phang, Chun-Ren Stevenson, Cory Chen, I-Ping Jung, Tzyy-Ping Ko, Li-Wei Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Applied Arts National Yang Ming Chiao Tung University Hsinchu30010 Taiwan International Ph.D. Program in Interdisciplinary Neuroscience National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute for Neural Computation and Institute of Engineering in Medicine University of California San DiegoCA90093 United States National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Electrical and Control Engineering Department of Electronics and Electrical Engineering Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Biomedical Science and Environment Biology Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung80708 Taiwan

Wireless electroencephalography (EEG) systems have been attracting increasing attention in recent times. Both the number of articles discussing wireless EEG and their proportion relative to general EEG publications have increased over years. These trends indicate that wireless EEG systems could be more accessible to researchers and the research community has recognized the potential of wireless EEG systems. To explore the development and diverse applications of wireless EEG systems, this review highlights the trends in wearable and wireless EEG systems over the past decade and compares the specifications and research applications of the major wireless systems marketed by 16 companies. For each product, five parameters (number of channels, sampling rate, cost, battery life, and resolution) were assessed for comparison. Currently, these wearable and portable wireless EEG systems have three main application areas: consumer, clinical, and research. To address this multitude of options, the article also discussed the thought process to find a suitable device that meets personalization and use cases specificities. These investigations suggest that low-price and convenience are key factors for consumer applications, wireless EEG systems with FDA or CE-certification may be more suitable for clinical settings, and devices that provide raw EEG data with high-density channels are important for laboratory research. This article presents an overview of the current state of the wireless EEG systems specifications and possible applications and serves as a guide point as it is expected that more influential and novel research will cyclically promote the development of such EEG systems. © 2023 IEEE.

关键词： Electroencephalography

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M2FN: Multi-step modality fusion for advertisement image assessment

arXiv

引用

arXiv 2021年

作者： Park, Kyung-Wha Ha, Jung-Woo Lee, JungHoon Kwon, Sunyoung Kim, Kyung-Min Zhang, Byoung-Tak Interdisciplinary Program in Neuroscience Seoul National University Korea Republic of NAVER AI LAB NAVER CLOVA Statistics and Actuarial Science Soongsil University Korea Republic of School of Biomedical Convergence Engineering Pusan National University Korea Republic of Department of Computer Science and Engineering Seoul National University Korea Republic of Surromind Robotics

Assessing advertisements, specifically on the basis of user preferences and ad quality, is crucial to the marketing industry. Although recent studies have attempted to use deep neural networks for this purpose, these studies have not utilized image-related auxiliary attributes, which include embedded text frequently found in ad images. We, therefore, investigated the influence of these attributes on ad image preferences. First, we analyzed large-scale real-world ad log data and, based on our findings, proposed a novel multi-step modality fusion network (M2FN) that determines advertising images likely to appeal to user preferences. Our method utilizes auxiliary attributes through multiple steps in the network, which include conditional batch normalization-based low-level fusion and attention-based high-level fusion. We verified M2FN on the AVA dataset, which is widely used for aesthetic image assessment, and then demonstrated that M2FN can achieve state-of-the-art performance in preference prediction using a real-world ad dataset with rich auxiliary attributes. © 2021, CC BY-NC-SA.

关键词： Marketing

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Melatonin combined with exercise cannot alleviate cerebral injury in a rat model of focal cerebral ischemia/reperfusion injury

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Neural Regeneration Research 2012年第13期7卷 993-999页

作者： Seunghoon Lee Jinhee Shin Minkyung Lee Yunkyung Hong Sang-Kil Lee Youngjeon Lee Tserentogtokh Lkhagvasuren Dong-Wook Kim Young-Ae Yang Kyu-Tae Chang Yonggeun Hong Department of Rehabilitation Science in Interdisciplinary Ph.D.Program Inje UniversityGimhae 621-749Republic of Korea Cardiovascular & Metabolic Disease Center College of Biomedical Science & EngineeringGimhae 621-749Republic of Korea Department of Smart Foods & Drugs School of Food & Life SciencesInje UniversityGimhae 621-749Republic of Korea Department of Pharmaceutical Engineering College of EngineeringInje UniversityGimhae 621-749Republic of Korea National Primate Research Center Korea Research Institute of BiotechnologyOchang 363-883Republic of Korea

Previous studies have demonstrated that melatonin combined with exercise can alleviate secondary damage after spinal cord injury in rats. Therefore, it is hypothesized that melatonin combined with exercise can also alleviate ischemic brain damage. In this study, adult rats were subjected to right middle cerebral artery occlusion after receiving 10 mg/kg melatonin or vehicle subcutaneously twice daily for 14 days. Forced exercise using an animal treadmill was performed at 20 m/min for 30 minutes per day for 6 days prior to middle cerebral artery occlusion. After middle cerebral artery occlusion, each rat received melatonin combined with exercise, melatonin or exercise alone equally for 7 days until sacrifice. Interestingly, rats receiving melatonin combined with exercise exhibited more severe neurological deficits than those receiving melatonin or exercise alone. Hypoxia-inducible factor la mRNA in the brain tissue was upregulated in rats receiving melatonin combined with exercise. Similarly, microtubule associated protein-2 mRNA expression was significantly upregulated in rats receiving melatonin alone. Chondroitin sulfate proteoglycan 4 （NG2） mRNA expression was significantly decreased in rats receiving melatonin combined with exercise as well as in rats receiving exercise alone. Furthermore, neural cell loss in the primary motor cortex was significantly reduced in rats receiving melatonin or exercise alone, but the change was not observed in rats receiving melatonin combined with exercise. These findings suggest that excessive intervention with melatonin, exercise or their combination may lead to negative effects on ischemia/reperfusion-induced brain damage.

关键词： wfocal cerebral ischemiaJreperfusion melatonin exercise neurological function brain tissue loss microtubule associated protein-2 chondroitin sulfate proteoglycan 4 NG2 hypoxia-inducible factor1 alpha neural regeneration

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Complexity Analysis based on Parietal Fuzzy Entropy to Facilitate ADHD Diagnosis in Young Children 46

Complexity Analysis based on Parietal Fuzzy Entropy to Facil...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Huang, I-Wen Jheng, Yu-Ci Chen, I-Chun Ko, Li-Wei National Yang Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300040 Taiwan National Yang Ming Chiao Tung University Institute of Electrical and Control Engineering Hsinchu300040 Taiwan National Yang Ming Chiao Tung University International Program in Interdisciplinary Neuroscience College of Biological Science and Technology Hsinchu300040 Taiwan Ton-Yen General Hospital Department of Physical Medicine and Rehabilitation Hsinchu302048 Taiwan Kaohsiung Medical University Drug Development and Value Creation Research Center Kaohsiung807378 Taiwan

ISBN: (纸本)9798350371499

Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the development of neurons in children. Therefore, early and accurate diagnosis of ADHD in young children is of paramount importance. In this study, the 8-channel wireless wearable EEG measurement device was employed to record EEG data from 30 children diagnosed with ADHD and 30 typical development (TD) young children aged 4-7 years. The data was collected both during rest and while the children performed a Kiddie Continuous Performance Test (K-CPT). We extract relative power spectral density (PSD) unaffected by factors like skull resistance and thickness. Additionally, a range of complex entropy values based on the time domain were extracted. These included sample entropy (SaEn), permutation entropy (PeEn), singular value decomposition entropy (SvdEn), and fuzzy entropy (FuEn). We compare the performance of k-Nearest Neighbors (kNN), Support Vector Machine (SVM), and XGBoost, and utilized the sequential forward selection (SFS) feature selection method in the wrapper approach. Through this process, the study identified the most effective EEG data segments and feature subsets. The findings indicated that using a combination of resting and K-CPT EEG data yielded greater discriminability. Notably, the study found that extracting beta power from the right occipital lobe along with fuzzy entropy from the parietal lobe resulted in optimal accuracy of 90% in distinguishing between children with ADHD and TD children. These outcomes highlight the potential of relative PSD and complexity metrics to support the clinical diagnosis of early ADHD. Furthermore, these metrics may contain unique neurobiomarkers that could be valuable for devising early intervention strategies. © 2024 IEEE.

关键词： Diseases

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