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

作者： Benomar, Mohamed Xia, Xing Zhang, Hai Huang, Mao-Hsiang Vishwanath, Manoj Xu, Xiangmin Cao, Hung University of California Irvine Department of Electrical Engineering and Computer Science IrvineCA92697 United States University of California Irvine Department of Anatomy and Neurobiology IrvineCA92697 United States University of California Irvine Department of Computer Science IrvineCA92697 United States University of California Irvine Department of Electrical Engineering and Computer Science Department of Computer Science Department of Biomedical Engineering IrvineCA92697 United States

ISBN: (纸本)9798350371499

Electroencephalogram (EEG) has been widely used in studies using rodent models to understand brain functions and neurological disorders. However, conventional EEG setups have limits as recording devices are bulky and tethered, causing discomfort and deviating from natural habitat conditions. To address these, we develop an innovative wireless EEG device for mice with a compact size, wireless recording via Bluetooth, and minimal invasiveness through screw mounting. The device enhances experimental setups while ensuring the well-being of the mice in a more realistic environment facilitating easier translation to human studies. In an experimental setting involving induced seizures, EEG signals were recorded and analyzed to discern differences across epilepsy phases in both anesthetized and awake stages. This device holds promise to revolutionize EEG research using mice, bridging the gap between laboratory conditions and real-world scenarios, thus advancing our understanding of neurological phenomena. © 2024 IEEE.

关键词： Electroencephalography

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StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5666-5675页

作者： Karim, Tasmin Shaon, Md. Shazzad Hossain Ali, Md. Mamun Ahmed, Kawsar Bui, Francis M. Chen, Li Department of Computer Science and Engineering Birulia Dhaka Savar1216 Bangladesh University of Saskatchewan Division of Biomedical Engineering SaskatoonSKS7N 5A9 Canada University of Saskatchewan Department of Electrical and Computer Engineering SaskatoonSKS7N 5A9 Canada Health Informatics Research Laboratory Department of Computer Science and Engineering Birulia Dhaka Savar1216 Bangladesh Mawlana Bhashani Science and Technology University Group of Bio-photomati Information and Communication Technology Tangail Santosh1902 Bangladesh

Antimicrobial peptides (AMPs) play a vital role in the immune defence systems of various organisms and have garnered significant attention for their potential applications in biotechnology and medicine. There are several approaches to identifying AMPs including clinical isolation and characterization, functional genomics, microbiology techniques, and others. However, these methods are mostly expensive, time-consuming, and require well-equipped labs. To overcome these challenges, machine learning models are a potential solution due to their robustness and high predictive capability with less time and cost. In this study, we explored the efficacy of stacking-based ensemble machine-learning techniques to identify AMPs with higher accuracy and precision. Five distinct feature extraction methods, namely amino acid composition, dipeptide composition, moran autocorrelation, geary autocorrelation, and pseudoamino acid composition, were employed to represent the sequence characteristics of peptides. To build robust predictive models, different traditional machine learning algorithms were applied. Additionally, we developed a novel stacking classifier, aptly named StackAMP, to harness the collective power of these algorithms. Our results demonstrated the exceptional performance of the proposed StackAMP ensemble method in AMP identification, achieving an accuracy of 99.97%, 99.93% specificity, and 100% sensitivity. This high accuracy underscores the effectiveness of our approach, which has promising outcomes for the rapid and accurate identification of AMPs in various biological contexts. This study not only contributes to the growing body of knowledge in the field of AMP recognition but also offers a practical tool with potential applications in drug discovery, biotechnology, and disease prevention. © 2024 IEEE.

关键词： Amino acids

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A Rail-To-Rail Transconductance Amplifier Based on Current Generator Circuits

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IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2023年第10期31卷 1624-1628页

作者： Akbari, Meysam Hussein, Safwan Mawlood Hashim, Yasir Khateb, Fabian Tang, Kea-Tiong University of Kurdistan Department of Electronics and Communication Engineering Sanandaj66177-15175 Iran Tishk International University Faculty of Engineering Department of Computer Engineering Erbil44001 Iraq Department of Microelectronics Brno University of Technology Brno601 90 Czech Republic Brno University of Defense Department of Electrical Engineering Brno66210 Czech Republic Czech Technical University in Prague Faculty of Biomedical Engineering Kladno3105 Czech Republic National Tsing Hua University Department of Electrical Engineering Hsinchu30013 Taiwan

In this brief, two current generator circuits are used to design a self-biasing transconductance amplifier. The current generators are configured using two n-channel and p-channel cascode current mirrors by which a high input dynamic range is achieved. Since such a topology creates positive feedback, the transconductance of the circuit is also increased causing higher performance. To ensure the stability of the circuit, constant current sources can be paralleled with the current mirror topologies, which of course are implemented using input drivers. Therefore, two n-channel and p-channel input differential pairs are added to the current generator circuits by which not only a rail-To-rail operation is achieved but also the amplifier is stabilized. The proposed circuit was fabricated in the TSMC 0.18-μm CMOS process with a silicon area of μm54.1× 71 μm. Under a 1.8-V supply voltage, the experimental results showed a high input common-mode range (ICMR), while a gain bandwidth (GBW) of 83.9 MHz was measured for a capacitive load of μm2×6μm pF. In addition, a dc gain and a slew rate (SR) of 68.4 dB and 71.7 V/ μm , respectively, were achieved. © 1993-2012 IEEE.

关键词： Operational amplifiers

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Regenerative Braking Capabilities in E-Bike Vehicles: Comparison Between two Drive Architectures

Regenerative Braking Capabilities in E-Bike Vehicles: Compar...

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2024 IEEE International Conference on electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2024

作者： Minervini, Marcello Giangrande, Paolo Corti, Fabio Malighetti, Paolo Mantione, Lorenzo University of Bergamo Department of Engineering and Applied Sciences Dalmine Italy Dinfo Università di Firenze Firenze Italy University of Bergamo Department of Management Information and Production Engineering Dalmine Italy University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia Italy

ISBN: (纸本)9798350373905

A comparative study between two regenerative braking strategies implemented on a 100 kg (bike + user) overall mass e-bike system is presented. The simulation models are built in MATLAB Simulink® environment and a commercial in-wheel direct-drive brushless DC (BLDC) motor is assumed as benchmark electrical machine. In the paper, a brief literature review about regenerative braking is firstly presented. Secondly a simulation comparison between two drive schemes is reported. The first scheme is composed by a buck converter and an inverter with six-step commutation. The second scheme, however, doesn't have the buck converter and uses two different Pulse Width Modulation techniques to control the inverter for motoring function and electric braking function. The aim of the work is to study the possibilities of the implementation and the advantages of this kind of brake, useful for extending the autonomy range of a LEV. © 2024 IEEE.

关键词： MATLAB

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Mini Prototype of the Futuristic Bin with an Automatic Waste Sortation System for Managing the Garbage Problems in Society 10

Mini Prototype of the Futuristic Bin with an Automatic Waste...

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10th International Conference on Wireless and Telematics, ICWT 2024

作者： Putra, Muhammad Taufik Dwi Adiwilaga, Anugrah Munggaran, Jezzy Putra Adhitama, Muhammad Azka As'ad, Raihan Anwar Alhafidz, Ahmad Ali Nurmalasari, Rin Rin Juhana, Agus Universitas Pendidikan Indonesia Computer Engineering Study Program Bandung Indonesia UIN Sunan Gunung Djati Department of Electrical Engineering Bandung Indonesia Universitas Pendidikan Indonesia Multimedia Education Study Program Bandung Indonesia

ISBN: (纸本)9798350377057

This article explores the development and implementation of futuristic bins with automated waste sortation systems to address improper and mixed waste disposal challenges. Despite the existence of categorized waste bins, individuals often dispose of waste improperly, hindering the sorting and decomposition processes. Integrating advanced technologies, such as Artificial Intelligence (AI), futuristic bins offer innovative solutions. Futuristic bins with automated sorting systems facilitate accurate waste sorting, reduce mixing, and optimize waste disposal. These bins increase efficiency, reduce costs, and optimize collection routes while promoting environmental cleanliness and awareness of waste management. The article describes the research methodology, including preliminary study, specification requirements analysis, prototype development, and testing. The results demonstrate the implemented system's accuracy and real-time object detection capabilities. The study also acknowledges limitations and suggests future research directions, including improving communication between object detection algorithms and microcontrollers. Overall, the development of futuristic bins with automated waste sortation systems represents a significant advancement in waste management, with the potential to revolutionize waste management systems and create sustainable cities and communities. © 2024 IEEE.

关键词： Waste disposal

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Ultra Wideband Highly Efficient Cross Polarization Conversion Metasurface for Multi-Band Applications

Ultra Wideband Highly Efficient Cross Polarization Conversio...

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2023 Advances in Science and engineering Technology International Conferences, ASET 2023

作者： Osman, Malaz Yousaf, Jawad Almajali, Eqab Hussein, Mousa I. Alja'afreh, Saqer S. Altaf, Amir Elahi, Manzoor Abu Dhabi University Electrical Computer and Biomedical Engineering Department Abu Dhabi United Arab Emirates University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates United Arab Emirates University Department of Electrical Engineering Al Ain United Arab Emirates Mutah University Electrical Engineering Department Alkarak Jordan Sungkyunkwan University Electrical and Computer Engineering Department Suwon Korea Republic of School of Electrical and Electronic Engineering Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9781665454742

This work proposes a square and circular split ring resonators-based metausrfae structure for stable cross-polarization-conversion (CPC) applications in C, X, Ku, partial K, sub-5G and 6 G bands. The proposed unit cell structure is a promising candidate for applications in advanced communications systems and polarizers due to its wide frequency coverage, angular stability, and ultra-wideband operations. The polarization conversion unit is shown to be converting incident x- or y-polarized EM waves to their cross-polarized components in two wide frequency bands of 5.2-15 GHz and 17.4-19.3 GHz, respectively. The polarization conversion ratio (PCR) reached 100% at resonance frequencies (5.5 GHz, 8.2 GHz, 13.2 GHz, and 18.6 GHz) of realized metasurface. The reported structure maintains angular stability against oblique incident angles (up to 40°) for the 5-15 GHz frequency range. © 2023 IEEE.

关键词： Kurchatovium

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Iterative Water-Filling Power and Subcarrier Allocation for Multicarrier NOMA Downlink 48

Iterative Water-Filling Power and Subcarrier Allocation for ...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Choy Chai, Chin Zhang, Xiao-Ping Department of Electrical Computer and Biomedical Engineering TorontoONM5B 2K3 Canada

ISBN: (纸本)9781728163277

Novel closed form formulae of iterative optimal power control and allocation, and criterion for optimal subcarrier allocation are derived for downlink of multicarrier non-orthogonal multiple access (MC-NOMA) systems. For the first time, we present closed form water-filling formulae that quantify exactly the following effects of multiple access interference for optimal power allocation of MC-NOMA downlink: (i) Each user should take into account the sum of interference from other stronger users plus the receiver Gaussian noise as an equivalent interference in each subcarrier;(ii) The sum of each user's interference to other weaker users should be accounted as factors which determine the distinct water levels in each subcarrier of each of the other weaker users. We also propose novel iterative water-filling algorithm and projected conjugate gradient algorithm that facilitate iterative computation of optimal power allocation for MC-NOMA downlink. © 2023 IEEE.

关键词： Water levels

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A meal detection approach based on parity space to detect untreated meals in subjects with Type 1 diabetes∗ 63

A meal detection approach based on parity space to detect un...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Mongini, Paolo Alberto Mazzoleni, Mirko Ferramosca, Antonio Magni, Lalo Toffanin, Chiara University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia27100 Italy University of Bergamo Department of Management Information and Production Engineering Via Marconi 5 Dalmine24044 Italy University of Pavia Department of Civil and Architecture Engineering Pavia27100 Italy

ISBN: (纸本)9798350316339

In this paper a data-driven fault detection technique based on parity space is applied to the problem of detecting unannounced meals for type 1 diabetes patients. This method involves the generation and evaluation of a residual signal to detect faults (unannounced meals) acting on the system (patient). Insulin on Board (IOB), meal intake, glucose and its second derivative have been selected as input signals to generate the residuals, and the parity space matrices are estimated using 8-hour training in silico data generated by the UVA/Padova simulator. The residual evaluation module compares the residual with a threshold that is optimized for each patient using 2-day tuning data. The complete system is evaluated on 1-week scenario obtaining promising results (TPR =9 5 %, PPV=7 2 %) with a detection delay of 4 2 minutes for 8 0 % of patients. For the 20 outlier patients, a fine-tuning and patient-tailored input signal processing are proposed as a future development. © 2024 IEEE.

关键词： biomedical signal processing

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On Performance Gauge of Average Multi-Cue Multi-Choice Decision Making:A Converse Lyapunov Approach

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IEEE/CAA Journal of Automatica Sinica 2021年第1期8卷 136-147页

作者： Mehdi Firouznia Qing Hui the Department of Electrical and Biomedical Engineering University of VermontBurlingtonVT 05405 USA the Department of Electrical and Computer Engineering University of Nebraska-LincolnLincolnNE 68588 USA

Motivated by the converse Lyapunov technique for investigating converse results of semistable switched systems in control theory,this paper utilizes a constructive induction method to identify a cost function for performance gauge of an average,multi-cue multi-choice(MCMC),cognitive decision making model over a switching time *** shows that such a constructive cost function can be evaluated through an abstract energy called Lyapunov function at initial ***,the performance gauge problem for the average MCMC model becomes the issue of finding such a Lyapunov function,leading to a possible way for designing corresponding computational algorithms via iterative methods such as adaptive dynamic *** order to reach this goal,a series of technical results are presented for the construction of such a Lyapunov function and its mathematical properties are discussed in ***,a major result of guaranteeing the existence of such a Lyapunov function is rigorously proved.

关键词： Cognitive modeling decision making Lyapunov function multi-cue multi-choice tasks performance gauge

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Virtual MOLLI Target: Generative Adversarial Networks Toward Improved Motion Correction in MRI Myocardial T1 Mapping

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Journal of Magnetic Resonance Imaging 2025年第1期61卷 209-219页

作者： Pan, Nai-Yu Huang, Teng-Yi Yu, Jui-Jung Peng, Hsu-Hsia Chuang, Tzu-Chao Lin, Yi-Ru Chung, Hsiao-Wen Wu, Ming-Ting Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering National Sun Yat-Sen University Kaohsiung Taiwan Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Department of Radiology Kaohsiung Veterans General Hospital Kaohsiung Taiwan School of Medicine College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan

Background: The modified Look-Locker inversion recovery (MOLLI) sequence is commonly used for myocardial T1 mapping. However, it acquires images with different inversion times, which causes difficulty in motion correction for respiratory-induced misregistration to a given target image. Hypothesis: Using a generative adversarial network (GAN) to produce virtual MOLLI images with consistent heart positions can reduce respiratory-induced misregistration of MOLLI datasets. Study Type: Retrospective. Population: 1071 MOLLI datasets from 392 human participants. Field Strength/Sequence: Modified Look-Locker inversion recovery sequence at 3 T. Assessment: A GAN model with a single inversion time image as input was trained to generate virtual MOLLI target (VMT) images at different inversion times which were subsequently used in an image registration algorithm. Four VMT models were investigated and the best performing model compared with the standard vendor-provided motion correction (MOCO) technique. Statistical Tests: The effectiveness of the motion correction technique was assessed using the fitting quality index (FQI), mutual information (MI), and Dice coefficients of motion-corrected images, plus subjective quality evaluation of T1 maps by three independent readers using Likert score. Wilcoxon signed-rank test with Bonferroni correction for multiple comparison. Significance levels were defined as P < 0.01 for highly significant differences and P < 0.05 for significant differences. Results: The best performing VMT model with iterative registration demonstrated significantly better performance (FQI 0.88 ± 0.03, MI 1.78 ± 0.20, Dice 0.84 ± 0.23, quality score 2.26 ± 0.95) compared to other approaches, including the vendor-provided MOCO method (FQI 0.86 ± 0.04, MI 1.69 ± 0.25, Dice 0.80 ± 0.27, quality score 2.16 ± 1.01). Data Conclusion: Our GAN model generating VMT images improved motion correction, which may assist reliable T1 mapping in the presence of respiratory motion

关键词： generative adversarial networks MOLLI registration

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