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SSRN 2024年

作者： Parmar, Nishaal Sirpal, Parikshat Sikora, William A. Dewald, Julius P.A. Refai, Hazem H. Yang, Yuan University of Oklahoma School of Electrical and Computer Engineering Gallogly College of Engineering NormanOK United States University of Oklahoma Stephenson School of Biomedical Engineering NormanOK United States Northwestern University Departments of Physical Therapy and Human Movement Sciences ChicagoIL United States Northwestern University Departments of Biomedical Engineering EvanstonIL United States University of Illinois Urbana-Champaign Department of Bioengineering Grainger College of Engineering UrbanaIL United States Carle Foundation Hospital Stephenson Family Clinical Research Institute Clinical Imaging Research Center UrbanaIL United States University of Illinois Urbana-Champaign Beckman Institute for Advanced Science and Technology UrbanaIL United States

During post-stroke recovery, the brain undergoes reorganization, compensating for loss of ipsilesional corticospinal and corticobulbar pathways, resulting in increased contralesional cortical activity during paretic arm movement tasks. Better understanding underlying mechanisms may improve post-stroke motor rehabilitation, with the study objective being to provide insight into poststroke contralesional cortical adaptation. This proof-of-concept study involves eight healthy controls and ten post-stroke participants. Electroencephalographic (EEG) and deltoid electromyographic (EMG) data were collected during an upper-limb exertion task. Phase coupling between beta-band motor cortex EEG and deltoid EMG was assessed using the Multi-Phase Locking Value (M-PLV) method. The nerve conduction delay from the contralateral motor cortex to the deltoid muscle of the paretic arm was estimated from EEG/EMG phase coherence. Our results show the ipsilateral (contralesional) motor cortex beta-band phase coherence behavior is altered in stroke participants. These show a significant difference in ipsilateral EEG-EMG coherence values, ipsilateral time course percentage above the significance threshold, and ipsilateral time course area above the significance threshold, in comparison to controls. M-PLV phase coherence analysis provides evidence for poststroke contralesional motor adaptation, highlighting its increased role in the paretic shoulder abduction task. Nerve conduction delay between the motor cortexes and deltoid muscle is significantly higher in stroke participants. Beta-band M-PLV phase coherence analysis shows greater phase-coherence distribution convergence between the ipsilateral and contralateral motor cortices in stroke participants, which we conclude may be interpreted as evidence of maladaptive neural adaptation resulting from a greater reliance on the contralesional motor cortex. © 2024, The Authors. All rights reserved.

关键词： Electroencephalography

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Design of Modular Readout Electronics for Cadmium Zinc Telluride (CZT) PET Imaging of the Plants Rhizosphere

Design of Modular Readout Electronics for Cadmium Zinc Tellu...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Muhammad Nasir Ullah Andrew Groll Derek Innes Shiva Abbaszadeh Craig S. Levin Department of Radiology Stanford University California USA Department of Radiology and Molecular Imaging Program at Stanford (MIPS) Stanford University California USA Department of Electrical and Computer Engineering University of California Santa Cruz Santa Cruz California USA Departments of Radiology Electrical Engineering Bioengineering Physics Molecular Imaging Program at Stanford MIPS) Stanford University Stanford California USA

To study and quantify the dynamic behavior of a plant’s soil-root interface (rhizosphere), we are developing a hybrid positron emission tomography-computed tomography (PET-CT) system to obtain in situ 3D images to help in modeling the Earth System Model (ESM) in a precise manner. ESM integrates the relevant aspects of the earth system to study the state of climate under various of conditions. The proposed system aims to understand the complex bi-directional flow of carbon in the rhizosphere by quantitatively measuring 11 C concentration. The rhizosphere imaging requires the creation of a PET system with high sensitivity and excellent spatial resolution; a dual panel geometry of cadmium zinc telluride (CZT) detectors with fine electrodes is being refined and scaled to a 4-panel system to answer the demands. This work focuses on the development, evaluation, and integration of the critical intermediate board (IB) needed to support approximately 5 thousand channels in the CZT PET system and provide modularity to the system. A Rigid-Flex PCB approach is adopted to design the IB. The rigid region will provide firm mechanical support for direct placement of the necessary electronic components and connectors, and the flex region will help to align the subsequent readout boards at the backend of the IB while maintaining the dense packing fraction at front-end where the CZT crystals are connected. Three CZT module (each module comprising of 2-crystals of 39x39 x5 mm 3 sandwiched in anode-cathode-cathode-anode configuration) along with 1-mm thick mechanical support on either side of modules will be directly attached to two IBs which forms one tray to modularize the entire system. This modularized design will help to assemble and dissemble the system in an efficient way and minimize the chance of damaging the crystal assemblies. This new IB design will address the troubleshooting/repairing experience and modularity issues that were taking significant amount of time and energy

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Transformer Based Tissue Classification in Robotic Needle Biopsy

arXiv

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arXiv 2024年

作者： Wang, Fanxin Cheng, Yikun Mukherjee, Sudipta S. Bhargava, Rohit Kesavadas, Thenkurussi Department of Mechatronics and Robotics Xi'an Jiaotong-Liverpool University 215123 China Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign ChampaignIL61801 United States Beckman Institute for Advanced Science and Technology Departments of Bioengineering Electrical & Computer Engineering Mechanical Science & Engineering Chemical and Biomolecular Engineering University of Illinois Urbana-Champaign ChampaignIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign ChampaignIL61801 United States Division of Research and Economic Development University at Albany State University of New York AlbanyNY12222 United States

Image-guided minimally invasive robotic surgery is commonly employed for tasks such as needle biopsies or localized therapies. However, the nonlinear deformation of various tissue types presents difficulties for surgeons in achieving precise needle tip placement, particularly when relying on low-fidelity biopsy imaging systems. In this paper, we introduce a method to classify needle biopsy interventions and identify tissue types based on a comprehensive needle-tissue contact model that incorporates both position and force parameters. We trained a transformer model using a comprehensive dataset collected from a formerly developed robotics platform, which consists of synthetic and porcine tissue from various locations (liver, kidney, heart, belly, hock) marked with interaction phases (pre-puncture, puncture, post-puncture, neutral). This model achieves a significant classification accuracy of 0.93. Our demonstrated method can assist surgeons in identifying transitions to different tissues, aiding surgeons with tissue awareness. © 2024, CC BY.

关键词： Biopsy

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Deep Learning Analyses of Brain MRI to Identify Sustained Attention Deficit in Treated Obstructive Sleep Apnea: A Pilot Study

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Sleep and Vigilance 2022年第1期6卷 179-184页

作者： Agarwal, Chirag Gupta, Saransh Najjar, Muhammad Weaver, Terri E. Zhou, Xiaohong Joe Schonfeld, Dan Prasad, Bharati Department of Medicine University of Illinois Chicago 840 S. Wood Street MC 719 Chicago 60612 IL United States Jesse Brown VA Medical Center Chicago IL United States Department of Biomedical Informatics Harvard Medical School Boston MA United States Biobehavioral Nursing Science College of Nursing University of Illinois Chicago Chicago IL United States Center for Magnetic Resonance Research University of Illinois Chicago Chicago IL United States Departments of Radiology Neurosurgery and Bioengineering University of Illinois Chicago Chicago IL United States Department of Electrical and Computer Engineering University of Illinois Chicago Chicago IL United States

Purpose: Persistent sustained attention deficit (SAD) after continuous positive airway pressure (CPAP) treatment is a source of quality of life and occupational impairment in obstructive sleep apnea (OSA). However, persistent SAD is difficult to predict in patients initiated on CPAP treatment. We performed secondary analyses of brain magnetic resonance (MR) images in treated OSA participants, using deep learning, to predict SAD. Methods: 26 middle-aged men with CPAP use of more than 6 h daily and MR imaging were included. SAD was defined by psychomotor vigilance task lapses of more than 2. 17 participants had SAD and 9 were without SAD. A Convolutional Neural Network (CNN) model was used for classifying the MR images into + SAD and − SAD categories. Results: The CNN model achieved an accuracy of 97.02 ± 0.80% in classifying MR images into + SAD and − SAD categories. Assuming a threshold of 90% probability for the MR image being correctly classified, the model provided a participant-level accuracy of 99.11 ± 0.55% and a stable image level accuracy of 97.45 ± 0.63%. Conclusion: Deep learning methods, such as the proposed CNN model, can accurately predict persistent SAD based on MR images. Further replication of these findings will allow early initiation of adjunctive pharmacologic treatment in high-risk patients, along with CPAP, to improve quality of life and occupational fitness. Future augmentation of this approach with explainable artificial intelligence methods may elucidate the neuroanatomical areas underlying persistent SAD to provide mechanistic insights and novel therapeutic targets. © 2021, This is a U.S. government work and not under copyright protection in the U.S.;foreign copyright protection may apply.

关键词： Alertness Daytime sleepiness MRI OSA Sleep apnea

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Discrete frequency infrared vibrational circular dichroism spectroscopy & imaging

Discrete frequency infrared vibrational circular dichroism s...

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Novel Techniques in Microscopy, NTM 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021

作者： Phal, Yamuna Yeh, Kevin Bhargava, Rohit Department of Electrical and Computer Engineering University of Illinois at Urbana Champaign 306 N. Wright St UrbanaIL61801 United States Departments of Bioengineering Chemistry Chemical and Biomolecular Engineering Mechanical Science and Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Cancer Center at Illinois University of Illinois at Urbana-Champaign UrbanaIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign 405 N. Mathews Ave UrbanaIL61801 United States

Vibrational Circular Dichroism (VCD) arises from chiroptical phenomena in biological samples. We demonstrate VCD imaging, a novel microscopy technique that can provide molecular- and spatially-specific chirality mappi... 详细信息

ISBN: (纸本)9781557528209

关键词： Dichroism

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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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Automated movement detection reveals features of maturation in preterm infants

Automated movement detection reveals features of maturation ...

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

作者： Ian Zuzarte Alan H. Gee Dagmar Sternad David Paydarfar Department of Bioengineering Northeastern University Boston MA Departments of Electrical & Computer Engineering and Neurology The University of Texas at Austin Austin TX Departments of Biology Electrical & Computer Engineering and Physics Northeastern University Boston MA Department of Neurology The University of Texas at Austin Austin TX

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Nearly 10% of all births in the United States are preterm. Preterm birth is a major risk for developmental neuromotor disorders. Early characterization of a future developmental outcome is necessary to design early interventions. However, such evaluations are currently subjective and typically happen only several months after birth. The aim of this study was to quantify movement bouts after birth and to determine if features of maturation might be characterized. Four preterm infants were continuously monitored for several months, from a few days after birth until discharge, in the Neonatal Intensive Care Unit. Movement was quantified from the photoplethysmogram using a wavelet-based algorithm. In all 4 infants, maturation was associated with a decrease (p 30s). The distribution of movement durations followed a power law function with its exponent defining the characteristic of the distribution. The exponent significantly increased with post-menstrual age. Future research will test whether these maturational changes can predict developmental outcomes.

关键词： Pediatrics Electronic mail Linear regression Histograms Data acquisition Fitting Feature extraction

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Modified Hamiltonian for a particle in an infinite box that includes wall effects

arXiv

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arXiv 2022年

作者： Cohen, Leon Mayato, Rafael Sala Laughlin, Patrick Department of Physics Hunter College of the City University of New York 695 Park Ave. New YorkNY10065 United States Departamento de Física and IUDEA Universidad de La Laguna La Laguna S/C de Tenerife 38204 Spain Departments of Bioengineering and Electrical & Computer Engineering University of Pittsburgh PittsburghPA15261 United States

We give a modified Hamiltonian for a particle in a box with infinite potential walls that takes into account wall effects. The Hamiltonian is expressed in both the position and momentum representation. In the momentum representation the eigenvalue problem for energy is an integral equation. Copyright © 2022, The Authors. All rights reserved.

关键词： Hamiltonians

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Erratum to “A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems” [May 13 1328-1331]

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IEEE Transactions on Automatic Control 2022年第8期67卷 4384-4384页

作者： Giovanni Russo Mario di Bernardo Eduardo D. Sontag Department of Information and Electrical Engineering and Applied Mathematics University of Salerno Salerno Italy Department of Electrical Engineering and ICT University of Naples Federico II Naples Italy Departments of Electrical and Computer Engineering and Bioengineering Northeastern University Boston MA USA

A small correction is made in the example of Section V (A representative application to networked systems) of the paper with the above title.

关键词： Continuous time systems Control system synthesis Jacobian matrices Networked control systems Stability

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Single-shot Quantitative Gradient Phase Microscopy (QGPM) to Monitor Cellular Kinetics

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Microscopy and Microanalysis 2024年第SUPPLEMENT_1期30卷

作者： Mohammadi, Melika Haji Hur, Sun Woong Kwon, Minsung Samuel, Ashok Zachariah Bhargava, Rohit Department of Bioengineering University of Illinois Urbana-Champaign Urbana IL United States Beckman Institute for Advanced Science and Technology Urbana IL United States Departments of Chemical and Biomolecular Engineering Electrical and Computer Engineering Mechanical Science and Engineering and Chemistry Cancer Center at Illinois University of Illinois Urbana-Champaign Urbana IL United States

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