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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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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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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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A Very Sensitive NO2Gas Monitoring System Based on MoS2Nanosheet 66

A Very Sensitive NO2Gas Monitoring System Based on MoS2Nanos...

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2023 IEEE 66th International Midwest Symposium on Circuits and Systems, MWSCAS 2023

作者： Zhou, You Wang, Sheng Xin, Sichen Wang, Yuhang Li, Zhenyu Zaghloul, Mona The George Washington University Department of Electrical and Computer Engineering WashingtonDC United States The George Washington University Department of Biomedical Engineering WashingtonDC United States

ISBN: (纸本)9798350302103

NO2 is a very common gas that can trigger the exacerbation of the respiratory system and provoke asthma even at low concentration. Transition Metal Dichalcogenides (TMDC) material Molybdenum Disulfide (MoS2) has been proved to be very sensitive to NO2 when it is fabricated as nanosheet of multiple or few atomic layers. In this work, we fabricated the Mos2 nanosheet on a silicon wafer and used this device as a resistive gas sensor to detect the NO2 gas at low concentration (0.2 -1.0 ppm). In addition, this gas sensor was integrated with external electronics to create a gas monitoring system. The sensing data was uploaded to a cloud-based terminal so that people can access the data easily and get alerted. Our results suggest that the Mos2 nanosheet based NO2 gas monitoring system is very sensitive, reliable, cost-effective, working at room temperature, and easy to use. © 2023 IEEE.

关键词： cloud technology gas sensor MoS2 two-dimensional material

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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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Development of technologies to support the diagnosis of infectious diseases and cancer to support the primary health care

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Research on biomedical engineering 2023年第1期39卷 27-35页

作者： Ferreira, Matheus A. C. Carvalho, Dionísio D. A. Cruz, Agnaldo S. Coutinho, Karilany D. Oliveira, Carlos A. P. Morais, Antonio H. F. Santos, João Paulo Q. Mayrink, Nadja N. V. Galvão-Lima, Leonardo J. Sales-Moioli, Ana Isabela L. Barros, Daniele M. S. Albuquerque, Gabriela A. Alves, Luca P. C. F. Teixeira, César A. D. Henriques, Jorge M. O. Gil, Paulo Gusmão, Cristine M. G. Valentim, Ricardo A. M. Avenida Nilo Peçanha RN Natal620 Brazil RN Natal Brazil Coimbra Portugal Department of Electrical and Computer Engineering School of Science and Technology New University of Lisbon Lisbon Portugal Department of Biomedical Engineering Federal University of Pernambuco Recife Brazil

Purpose: Primary Health Care (PHC) is the coordinator of health care in Brazil and needs to be strengthened in the diagnostic field to increase health care quality. Aiming to improve the diagnostic tools currently available in PHC, this work describes the process of development and validation of two point-of-care biomedical devices for screening patients with syphilis or different kinds of cancer. Methods: The development of these devices followed nine stages of action based on the requirements established by the Ministry of Health. During development, both systems followed the stages of circuit planning, software simulation to verify the components used, cost assessment for the acquisition of features, simulation in contact matrix, development of the embedded system, and planning of the printed circuit board and storage box. Results: Both devices underwent preliminary functionality tests to assess their quality. The performance tests applied on the device to diagnose syphilis performed 8,733,194 requests, with a flow of 2426 requests/second, reaching the desired parameters of robustness, integrity, durability, and stability. In addition, functioning tests on the cancer-screening device indicated the ability to detect standard fluorescence in a minimal (150 uL) sample volume. Conclusions: Together, the methodology used for developing the devices resulted in promising equipment to improve the diagnosis and meet the requirements for executing technologies for testing and triaging patients in PHC. © 2022, The Author(s).

关键词： Diagnosis

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Substrate Integrated Coaxial Line based Branch Line Coupler with Broad Out of Band Rejection 52

Substrate Integrated Coaxial Line based Branch Line Coupler ...

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52nd European Microwave Conference, EuMC 2022

作者： Krishna, Idury Satya Delmonte, Nicolo Silvestri, Lorenzo Bozzi, Maurizio Mukherjee, Soumava Indian Institute of Techhnology Jodhpur Department of Electrical Engineering India University of Pavia Department of Electrical Computer and Biomedical Engineering Italy

ISBN: (数字)9782874870699

ISBN: (纸本)9782874870699

This paper reports the design and development of a miniaturized substrate integrated coaxial line (SICL) based branch line coupler operating at 5 GHz with broad out of band rejection. The proposed coupler employs a pair of center tapped unequal length open stubs to reduce the lateral footprint as well as introduce transmission zeros in the out of band region. Equations derived analytically from even and odd mode analysis aid in determining the size reduction factor as well as the position of transmission zeroes in the out of band region. A prototype of the proposed SICL based branch line coupler is fabricated and experimentally verified. The measurement results indicate low amplitude and phase imbalance less than ±0.5 dB and ±3° in the range of 4.6 GHz to 5.3 GHz, contributing to a fractional bandwidth of 14.14% centered at 5 GHz. Also the proposed fully shielded and self-packaged SICL coupler features out of band rejection up to 4 fo. © 2022 European Microwave Association (EuMA).

关键词： Power amplifiers

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Predicting ICU Admissions using Interpretable Machine Learning 11

Predicting ICU Admissions using Interpretable Machine Learni...

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11th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024

作者： Elbatanouny, Hagar Tawfik, Hissam Khater, Tarek Turky, Ayad Hussain, Abir University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates Khalifa University Department of Biomedical Engineering Abu Dhabi United Arab Emirates University of Sharjah Department of Computer Science Sharjah United Arab Emirates

ISBN: (纸本)9798350367300

Early prediction of patients in need of admission to the intensive care unit (ICU) is essential for maximizing the use of available hospital resources and enhancing the quality of patient care outcomes. This work uses the Covid19MPD Dataset to predict ICU admissions based on various machine learning techniques such as Random Forest, Support Vector Machine, Gradient Boosting, and Multi-Layer Perceptron alongside Explainable Artificial Intelligence (XAI) approaches. Our findings show that the Gradient Boosting model achieved the best accuracy at 97.49% and an F1 score of 71% for ICU admissions. Notably, the study finds that age and pneumonia are important predictors, with patients 45 years and older who come with COVID-19 and pneumonia having a much higher chance of needing ICU care. These findings highlight how important it is to use machine learning models in clinical settings in order to improve ICU admission prediction and facilitate prompt medical intervention. © 2024 IEEE.

关键词： Adversarial machine learning

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Impacts of High Penetration PV Systems on Power System Stability Parameters

Impacts of High Penetration PV Systems on Power System Stabi...

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2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

作者： Mishan, Ramkrishna Abdelkader, Abdelrahman Egan, Matthew Benidris, Mohammed University of Nevada Reno Department of Electrical and Biomedical Engineering RenoNV89557 United States Michigan State University Department of Electrical and Computer Engineering East LansingMI48824 United States

ISBN: (纸本)9798350320169

Incorporation of renewable energy sources into electrical grids has the potential to reduce system total inertia, which influences the transient response. Parameters such as critical clearing time (CCT), short-circuit current ratios, machine transient and sub-transient reactances, and time constants are all intrinsically linked to the system's total inertia and serve as vital components of transient stability (TS) assessment. Consequently, these parameters can be employed as comparative metrics to evaluate the relative TS of the power system under varying levels of PQ-controlled photovoltaic (PV) generation penetration. This paper examines the relationship between these parameters and system inertia at different penetration levels of PV. CCT is a vital transient stability indicator, incorporating other TS parameters, and a longer CCT signifies higher system inertia, serving as a relative stability parameter for evaluating the impact of PV penetration. This paper replaces one of the IEEE WSCC-nine bus generators with an equivalent PV plant, then changes PV penetration to compare transient stability with the original system. This paper also confirms that the sub-transient and transient short-circuit currents that occur during faults in a power system depend not only on the structure of the faulted equipment but also on the overall structure and characteristics of the power system, including its inertia. The sensitivity parameters displayed negative trends in response to variations in system inertia, and it was observed that the transient parameters demonstrated greater sensitivity to changes in system inertia compared to the sub-transient. The paper emphasizes the criticality of carefully managing the integration of renewable energy sources to ensure adequate power system stability. © 2023 IEEE.

关键词： Renewable energy

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Spectral period doubling and encoding of dissipative optical solitons via gain control

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PhotoniX 2024年第1期5卷 290-305页

作者： Kangwen Yang Yi Zhou Yuqing Ling Kevin K.Tsia Heping Zeng Kenneth K.Y.Wong Shanghai Key Laboratory of Modern Optical System and Engineering Research Center of Optical Instrument and SystemMinistry of EducationSchool of Optical Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Department of Electrical and Electronic Engineering The University of Hong KongHong KongChina Advanced Biomedical Instrumentation Centre Hong Kong Science ParkHong KongChina State Key Laboratory of Precision Spectroscopy East China Normal UniversityShanghai 200062China

Period-doubling bifurcation,as an intermediate state between order and chaos,is ubiquitous in all disciplines of nonlinear ***,previous experimental observations of period doubling in ultrafast fiber lasers are mainly restricted to self-sustained steady state,controllable manipulation and dynamic switching between period doubling and other intriguing dynamical states are still largely ***,we propose to expand the vision of dissipative soliton periodic doubling,which we illustrate experimentally by reporting original spontaneous,collisional,and controllable spectral period doubling in a polarization-maintaining ultrafast fiber ***,the spontaneous period doubling can be observed in both single-and *** mechanism of the switchable state and periodic doubling was revealed by numerical ***,state transformation of individual solitons can be resolved during the collision of triple solitons involving stationary,oscillating,and period ***,controllable deterministic switching between period doubling and other dynamical states,as well as exemplifying the application of period-doubling-based digital encoding,is achieved under programmable pump *** results open a new window for unveiling complex Hopf bifurcation in dissipative systems and bring useful insights into nonlinear science and applications.

关键词： Period doubling Mode locking Ultrafast fiber lasers

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