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Development and Validation of a Current-BasedEEG System

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Development and Validation of a Current-BasedEEG System

IEEE Biomedical Circuits and Systems (BIOCAS)

作者： Daniel Comaduran Marquez Sarah J. Anderson Kent Hecker Kartikeya Murari Biomedical Engineering Graduate Program University of Calgary Calgary Canada Faculty of Veterinary Medicine University of Calgary Calgary Canada Electrical and Computer Engineering University of Calgary Calgary Canada

Electroencephalography (EEG) measures electrical brain activity in a noninvasive manner. EEG mainly records electrical activity from radially oriented pyramidal cells in the cerebral cortex. However, EEG is less influenced by the tangentially oriented pyramidal cells. Magnetoencephalography (MEG) is influenced by the tangentially oriented pyramidal cells. However, MEG is not as widely available as EEG. Recent studies show that the combined used of EEG and MEG can improve the accuracy of source reconstruction, especially in neurological disorders (e.g. epilepsy). A current-based EEG system could allow us to record from the tangentially oriented pyramidal cells. The current work presents the development and validation of such a current-based EEG system. The system is adapted from a previously developed current-based electromyography (EMG) system. Characterization data and pilot EEG recordings in a human subject are presented. Further work will focus on miniaturizing the system to interface with the standard EEG cap, as well as developing a multichannel system.

关键词： Electroencephalography Electrodes Current measurement Power supplies Instruments Frequency response Electromyography

Throughput Estimation of slotted np-CSMA based on semi-Markov process

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Throughput Estimation of slotted np-CSMA based on semi-Marko...

International electrical engineering Congress (iEECON)

作者： Adisorn Saenmuang Suchada Sitjongsataporn The Electrical Engineering Graduate Program Faculty of Engineering Mahanakorn University of Technology 140 Cheumsamphan Rd. Nongchok Bangkok Thailand Department of Electronic Engineering Mahanakorn Institute of Innovation (MII) Faculty of Engineering Mahanakorn University of Technology 140 Cheumsamphan Rd. Nongchok Bangkok Thailand

Throughput estimation of slotted non-persistent carrier sense multiple access (slotted np-CSMA) protocol based on semi-Markov process is presented. CSMA protocol, a random access, which are used widely in different communication systems packets. In Radio Frequency Identification (RFID), most problems are caused by data collisions, therefore, to analyze the collisions and avoiding collision in RFID system. We propose the concept of slotted np-CSMA protocol by means of Poisson-based packet size by semi-Markov process in the RFID system. This paper presents the study about throughput performance of slotted np-CSMA systems for the offered traffic. Simulation results show that the performance of semi-Markov-based slotted np-CSMA can obtain the good performance related to lower propagation delay compared with Markov model.

关键词： Protocols Radiofrequency identification Throughput Markov processes Computational modeling Propagation delay Analytical models

Sms Encryption Application Using 3Des (Triple Data Encryption Standard) Algorithm Based on Android 1

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Sms Encryption Application Using 3Des (Triple Data Encryptio...

1st Workshop on Environmental Science, Society, and Technology, WESTECH 2018

作者： Nurdin Abdullah, Dahlan Fatimah, Widia Ratnadewi, R. Kurniasih, Nuning Rianita, Dian Riasti, Berliana Kusuma Sofian, Edi Karnadi, Very Liantoni, Febri Kurnia, Dian Ade Cahyanto, Triawan Adi Rahman, Arief Aulia Sudarsana, I Ketut Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Electrical Engineering Universitas Kristen Maranatha Bandung Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Administration University of Lancang Kuning Pekanbaru Indonesia Department of Informatics Engineering Universitas Sebelas Maret Surakarta Indonesia Faculty of Economics Universitas Islam Sumatera Utara Medan Indonesia Department of Informatics Engineering University of Putera Batam Batam Indonesia Department of Informatic Faculty of Information Technology Institut Teknologi Adhi Tama Surabaya Indonesia Departement of Information Technology STMIK IKMI Cirebon Indonesia Department of Informatics Engineering Faculty of Engineering University of Muhammadiyah Jember Indonesia Department of Mathematics STKIP Bina Bangsa Meulaboh Meulaboh Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Indonesia

Security is an important aspect in communicating using information technology. SMS is a service provided by mobile phones to communicate by sending short messages quickly and cheaply. Short message delivery is done by SMS network, so the messages are not sent directly to the destination mobile phone. Therefore the messages that are sending by the SMS service need to be protected, so the security of the messages sent to the SMS network remains protected by its confidentiality. In this study the software will be built to improve the security of messages on SMS communication. The software that is built serves to encrypt messages that will be sent and decrypt messages with entered through the SMS service. Software built using the 3DES (Triple Data Encryption Standard) algorithm. The 3DES algorithm is a flow algorithm (block cipher) which belongs to the type of symmetry key cryptography system. The implementation of the 3DES algorithm on software that is built using the Java-based programming language Java. So only software that uses the Android operating system can use this encryption and decryption application. © Published under licence by IOP Publishing Ltd.

关键词： Android (operating system)

Radiomics and deep learning characterisation of liver malignancies in CT images - A systematic review

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Computers in biology and medicine 2025年 194卷 110491页

作者： Bappah Suleiman Yahaya Noor Diyana Osman Noor Khairiah A Karim Gokula Kumar Appalanaido Iza Sazanita Isa Department of Biomedical Imaging Advanced Medical and Dental Institute Universiti Sains Malaysia Kepala Batas Pulau Penang 13200 Malaysia Department of Radiography and Radiation Sciences Faculty of Allied Health Sciences Federal University of Health Sciences Azare Nigeria. Advanced Management of Liver Malignancies Research Program Advanced Medical and Dental Institute Universiti Sains Malaysia Penang Malaysia. Electronic address: noordiyana@usm.my. Advanced Management of Liver Malignancies Research Program Advanced Medical and Dental Institute Universiti Sains Malaysia Penang Malaysia. Faculty of Electrical Engineering Universiti Teknologi MARA Penang Campus Permatang Pauh Pulau Pinang 13500 Malaysia.

BACKGROUND:Computed tomography (CT) has been widely used as an effective tool for liver imaging due to its high spatial resolution, and ability to differentiate tissue densities, which contributing to comprehensive image analysis. Recent advancements in artificial intelligence (AI) promoted the role of Machine Learning (ML) in managing liver cancers by predicting or classifying tumours using mathematical algorithms. Deep learning (DL), a subset of ML, expanded these capabilities through convolutional neural networks (CNN) that analyse large data automatically. This review examines methods, achievements, limitations, and performance outcomes of ML-based radiomics and DL models for liver malignancies from CT imaging. METHOD:A systematic search for full-text articles in English on CT radiomics and DL in liver cancer analysis was conducted in PubMed, Scopus, Science Citation Index, and Cochrane Library databases between 2020 and 2024 using the keywords; machine learning, radiomics, deep learning, computed tomography, liver cancer and associated MESH terms. PRISMA guidelines were used to identify and screen studies for inclusion. RESULTS:A total of 49 studies were included consisting of 17 Radiomics, 24 DL, and 8 combined DL/Radiomics studies. Radiomics has been predominantly utilised for predictive analysis, while DL has been extensively applied to automatic liver and tumour segmentation with a surge of a recent increase in studies integrating both techniques. CONCLUSION:Despite the growing popularity of DL methods, classical radiomics models are still relevant and often preferred over DL methods when performance is similar, due to lower computational and data needs. Performance of models keep improving, but challenges like data scarcity and lack of standardised protocols persists.

关键词： Computed tomography Deep learning Liver cancer Machine learning Radiomics Segmentation

Epigenetic factor competition reshapes the EMT landscape

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arXiv 2022年

作者： Ali Al-Radhawi, M. Tripathi, Shubham Zhang, Yun Sontag, Eduardo D. Levine, Herbert Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Center for Theoretical Biological Physics Northeastern University BostonMA02115 United States PhD Program in Systems Synthetic and Physical Biology Rice University HoustonTX77005 United States Whitehead Institute for Biomedical Research CambridgeMA02142 United States Department of Bioengineering Northeastern University BostonMA02115 United States Department of Physics Northeastern University BostonMA02115 United States Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States State Key Laboratory of Molecular Oncology National Cancer Center National Clinical Research Center for Cancer Cancer Hospital Chinese Academy of Medical Sciences Peking Union Medical College Beijing100021 China

The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene regulatory elements. These elements include chromatin remodelers, histone modifiers, transcription factors, and regulatory RNAs. Mathematical models known as Gene Regulatory Networks (GRNs) are an increasingly important tool to unravel the workings of such complex networks. In such models, epigenetic factors are usually proposed to act on the chromatin regions directly involved in the expression of relevant genes. However, it has been well-established that these factors operate globally and compete with each other for targets genome-wide. Therefore, a perturbation of the activity of a regulator can redistribute epigenetic marks across the genome and modulate the levels of competing regulators. In this paper, we propose a conceptual and mathematical modeling framework that incorporates both local and global competition effects between antagonistic epigenetic regulators in addition to local transcription factors, and show the counter-intuitive consequences of such interactions. We apply our approach to recent experimental findings on the Epithelial-Mesenchymal Transition (EMT). We show that it can explain the puzzling experimental data as well provide new verifiable predictions. © 2022, CC BY-NC-ND.

关键词： Transcription factors

Exploring the effect of image enhancement techniques on COVID‐19 detection using chest X‐rays images

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arXiv 2020年

作者： Rahman, Tawsifur Khandakar, Amith Qiblawey, Yazan Tahir, Anas Kiranyaz, Serkan Kashem, Saad Bin Abul Islam, Mohammad Tariqul Maadeed, Somaya Al Zughaier, Susu M. Khan, Muhammad Salman Chowdhury, Muhammad E.H. Department of Biomedical Physics & Technology University of Dhaka Dhaka 1000 Bangladesh Department of Electrical Engineering Qatar University Doha2713 Qatar Faculty of Robotics and Advanced Computing Qatar Armed Forces‐Academic Bridge Program Qatar Foundation Doha24404 Qatar Dept. of Electrical Electronics and Systems Engineering Universiti Kebangsaan Malaysia BangiSelangor43600 Malaysia Department of Computer Science and Engineering Qatar University Doha2713 Qatar Department of Basic Medical Sciences College of Medicine Biomedical and Pharmaceutical Research Unit QU Health Qatar University Doha2713 Qatar University of Engineering and Technology Peshawar Pakistan

The use of computer-aided diagnosis in the reliable and fast detection of corona virus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the medical infrastructure. Chest X-ray (CXR) imaging has several advantages over other imaging techniques as it is cheap, easily accessible, fast and portable. CXR images are sometimes of poor quality and so image enhancement techniques can help the machine learning models to extract valuable discriminating features from the image. Numerous works have been reported on COVID-19 detection from smaller set of original X-ray images. However, the effect of image enhancement in COVID-19 detection was not reported in the literature. This paper explores the effect of various popular image enhancement techniques and states the © 2020, CC BY.

关键词： Image enhancement

Corrigendum to “Metal ratio and bimetal nanoarchitectonics of ammonia-based fluoride complex induced nickel hydroxide and manganese oxide composites as active materials of an energy storage device” [J. Energy Storage 80 (2024) 110316]

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Journal of Energy Storage 2025年 108卷

作者： Chuan-Chih Hsu You Zher Yu Chung-Hsien Wu Pin-Yan Lee Hung-Ming Chen Sadang Husain Chutima Kongvarhodom Yu-Cheng Hsiao Lu-Yin Lin Division of Cardiovascular Surgery Department of Surgery School of Medicine College of Medicine Taipei Medical University Taiwan Division of Cardiovascular Surgery Department of Surgery Taipei Medical University Hospital Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Gingen Technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei 11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin 70124 Indonesia Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok 10140 Thailand Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei 11696 Taiwan International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA 94305-5428 USA Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan

Field-driven metamorphoses of isolated skyrmions within the conical state of cubic helimagnets

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arXiv 2021年

作者： Leonov, Andrey O. Pappas, Catherine Smalyukh, Ivan I. Department of Chemistry Faculty of Science Hiroshima University Kagamiyama Higashi Hiroshima Hiroshima739-8526 Japan Chirality Research Center Hiroshima University Higashi Hiroshima Hiroshima739-8526 Japan IFW Dresden Postfach 270016 DresdenD-01171 Germany Faculty of Applied Sciences Delft University of Technology Mekelweg 15 Delft2629JB Netherlands Soft Materials Research Center and Materials Science and Engineering Program University of Colorado BoulderCO80309 United States Department of Physics Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

Topologically stable field configurations appear in many fields of physics, from elementary particles to condensed matter and cosmology. Deep physical relations and common physical features of a large variety of very different solitonic states in these systems arise from the mathematical similarity of phenomenological equations. During the last decade, chiral liquid crystals and chiral magnets took on the role of model objects for experimental investigation of topological solitons and understanding of their nonsingular field configurations. This is directly related to the discovery of particle-like chiral skyrmions, which are also considered as promising ingredients for technological applications. Here we introduce a paradigm of facile skyrmionic networks with mutually-orthogonal orientations of constituent isolated skyrmions. On the one hand, such networks are envisioned as a novel concept of spintronic devices based, e.g., on gapless skyrmion motion along each other, and are presumably responsible for precursor phenomena near the ordering temperatures of bulk cubic helimagnets. In particular, we demonstrate an interconversion between mutually orthogonal skyrmions: horizontal skyrmions may swirl into an intermediate spring-like states and subsequently squeeze into vertical skyrmions with both polarities. On the other hand, skyrmion tubes are considered as building blocks for particle-like states with more involved internal structure. A family of target-skyrmions, which includes an overlooked so far type with a multiple topological charge, is formed owing to the tendency to minimize the interaction energy between vertical and horizontal skyrmions. The conical phase serves as a suitable background for considered skyrmion evolution. It substantializes the attracting skyrmion-skyrmion interaction in the skyrmionic networks, shapes their internal structure and guides the nucleation processes. Alternatively, intricate textural changes of isolated skyrmions result not onl

关键词： Solitons

Response to "Comment on 'A novel two-dimensional boron-carbon-nitride (BCN) monolayer: A first-principles insight [J. Appl. Phys. 2021, 130, 114301]'"

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arXiv 2022年

作者： Bafekry, Asadollah Naseri, Mosayeb Fadlallah, Mohamed M. Sarsari, Ismaeil Abdolhosseini Faraji, Mehrdad Khatibani, Abbas bagheri Ghergherehchi, Mitra Gogova, Daniela Department of Radiation Application Shahid Beheshti University Tehran*** Iran Department of Physics Kermanshah Branch Islamic Azad University Kermanshah*** Iran Department of Physics Faculty of Science Benha University Benha13518 Egypt Department of Physics Isfahan University of Technology Isfahan84156-83111 Iran Micro and Nanotechnology Graduate Program TOBB University of Economics and Technology Sogutozu Caddesi No 43 Sogutozu Ankara06560 Turkey Nano Research Lab Lahijan Branch Islamic Azad University Lahijan1616 Iran Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of Department of Physics Chemistry and Biology Linkoping University Linköping581 83 Sweden

Mortazavi et al. comment on the results of our paper "A novel two-dimensional boron-carbon-nitride BCN monolayer: A First-principles insight," in which we have considered different configurations of BCN. For clarification, we applied the fingerprint theory [1-3] to examine the similarity between the distinct structures. The fingerprint function is a crystal structure descriptor, an 1D-function related to the pair correlation function and diffraction patterns. It does not depend on absolute atomic coordinates, but only on interatomic distances. Small deviations in atomic positions will influence the fingerprints only slightly [1-3]. Fingerprint theory allows quantification of the degree of order and complexity of a crystal structure. © 2022, CC BY.

关键词： Monolayers