Article
Engineering, Biomedical
Peiyu Weng, Keming Wei, Tian Chen, Mingjing Chen, Guanzheng Liu
Summary: The study found that the method of Emma-fApEn based on heart rate variability can effectively assess the severity of obstructive sleep apnea (OSA) and demonstrate good performance in disease screening.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE
(2022)
Article
Endocrinology & Metabolism
M. Leentjens, Abdulmohsen Alterki, Mohamed Abu-Farha, P. F. N. Bosschieter, CAL. de Raaff, CEE. de Vries, Eman Al Shawaf, Thangavel Alphonse Thanaraj, Irina Al-Khairi, Preethi Cherian, Arshad Channanath, Sina Kavalakatt, B. A. van Wagensveld, N. de Vries, Jehad Abubaker
Summary: This study found significantly increased levels of ANGPTL7 in both the circulation and adipose tissue of patients with OSA, which were associated with increased inflammation and OSA severity. Bariatric surgery was shown to significantly reduce ANGPTL7 levels and improve OSA.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Oncology
Marn Joon Park, Kyung-Do Han, Jae Hoon Cho, Ji Ho Choi
Summary: Obstructive sleep apnea (OSA) may not affect the incidence of testicular cancer in the general adult population, but males over 65 may be more susceptible to OSA-related testicular cancer compared to younger individuals.
Article
Medicine, General & Internal
Pasquale Tondo, Caterina Pronzato, Irene Risi, Nadia D'Artavilla Lupo, Rossella Trentin, Simona Arcovio, Francesco Fanfulla
Summary: The study evaluates the role of ResMed VAuto in the management of noncompliant/unresponsive patients to CPAP and the switch to VAuto for patients already on treatment with Philips Auto-BiPAP. The results show that VAuto mode is effective in improving the apnea-hypopnea index and oxygen desaturation index. The switching between two different auto-BiPAP devices can be performed easily and successfully for patients.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Pharmacology & Pharmacy
Viseslav Popadic, Milica Brajkovic, Slobodan Klasnja, Natasa Milic, Nina Rajovic, Danica Popovic Lisulov, Anica Divac, Tatjana Ivankovic, Andrea Manojlovic, Novica Nikolic, Lidija Memon, Marija Brankovic, Maja Popovic, Ana Sekulic, Jelica Bjekic Macut, Olivera Markovic, Sinisa Djurasevic, Maja Stojkovic, Zoran Todorovic, Marija Zdravkovic
Summary: In a retrospective cohort study involving 328 patients with newly diagnosed obstructive sleep apnea, significant associations were found between lipid abnormalities, inflammatory markers, and other clinically important data with the severity of obstructive sleep apnea. These findings may contribute to a better understanding of the underlying pathophysiological processes and potential therapeutic modalities.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Environmental Sciences
Basem Hijazi, Emanuel Tirosh, Alexandra Chudnovsky, Diana Saadi, Izhak Schnell
Summary: This study examined the effects of urban environments on the Autonomic Nervous System (ANS) and found that the effects of green areas are immediate, while those of urban environments are gradual. There are ethnic differences in the ANS adaptation among Arab and Jewish women in different environments.
ENVIRONMENTAL RESEARCH
(2023)
Article
Biology
Leeba Rezaie, Soroush Maazinezhad, Donald J. Fogelberg, Habibolah Khazaie, Dena Sadeghi-Bahmani, Serge Brand
Summary: Individuals with obstructive sleep apnea (OSA) are at a higher risk for somatic and sleep-related complaints. By combining demographic, anthropometric, subjective, and objective sleep- and breathing-related data, it was found that higher AHI scores were associated with higher BMI, daytime sleepiness, respiratory disturbance index, and snoring. Additionally, shorter sleep duration, more N2 sleep, and a higher RDI were predictive of AHI scores. This integrated approach provides a more effective way to identify individuals at higher risk for OSA.
Article
Clinical Neurology
Hua Qin, Brendan T. Keenan, Diego R. Mazzotti, Fernando Vaquerizo-Villar, Jan F. Kraemer, Niels Wessel, Sergio Tufik, Lia Bittencourt, Peter A. Cistulli, Philip de Chazal, Kate Sutherland, Bhajan Singh, Allan Pack, Ning-Hung Chen, Ingo Fietze, Thorarinn Gislason, Steven Holfinger, Ulysses J. Magalang, Thomas Penzel
Summary: This study found an association between heart rate variability (HRV) during wakefulness and the severity of obstructive sleep apnea (OSA) in a large clinical sample. Patients with severe OSA exhibited significantly reduced and less complex HRV in time-domain and nonlinear measures. Frequency-domain measures showed a shift to sympathetic dominance only in obese OSA patients, indicating additional information about cardiovascular physiology in OSA patients during wakefulness.
Article
Biochemistry & Molecular Biology
Katharina Bahr-Hamm, Nabin Koirala, Marsha Hanif, Haralampos Gouveris, Muthuraman Muthuraman
Summary: Intensity of respiratory cortical arousals (RCA) is a pathophysiologic trait in obstructive sleep apnea (OSA) patients. Brain oscillatory features related to respiratory arousals were investigated in moderate and severe OSA patients. Severe OSA patients showed a decrease in EEG signal amplitude and spectral entropy during RCA, compared to moderate OSA patients. These findings could be helpful in differentiating severe OSA from moderate OSA.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Physics, Multidisciplinary
Duan Liang, Shan Wu, Lan Tang, Kaicheng Feng, Guanzheng Liu
Summary: This study found that NPSampEn is a more effective index for distinguishing patients with obstructive sleep apnea (OSA), demonstrating higher screening accuracy and stronger association with the apnea-hypopnea index (AHI) compared to other indices like LF/HF and SampEn.
Article
Clinical Neurology
M. Kaminska, M. O'Sullivan, V. P. Mery, A. L. Lafontaine, A. Robinson, P. Gros, J. G. Martin, A. Benedetti, R. J. Kimoff
Summary: This study aimed to investigate the relationship between inflammatory cytokines and brain-derived neurotrophic factor (BDNF) with obstructive sleep apnea (OSA) and Parkinson's disease (PD) symptoms. The results showed that IL-6 levels were associated with OSA severity and PD motor dysfunction. Increasing IL-6 correlated with deterioration of PD symptoms, while increasing BDNF correlated with increasing sleepiness.
Review
Biochemistry & Molecular Biology
Maria Carmina Pau, Elisabetta Zinellu, Sara S. Fois, Barbara Piras, Gianfranco Pintus, Ciriaco Carru, Arduino A. Mangoni, Alessandro G. Fois, Angelo Zinellu, Pietro Pirina
Summary: The study found that the MDA concentrations were significantly higher in patients with obstructive sleep apnea (OSA) compared to controls, indicating that MDA may be involved in the pathogenesis of OSA and providing insights for future research on its potential clinical use.
Article
Automation & Control Systems
Jeng-Wen Chen, Chia-Ming Liu, Cheng-Yi Wang, Chun-Cheng Lin, Kai-Yang Qiu, Cheng-Yu Yeh, Shaw-Hwa Hwang
Summary: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder, and polysomnography (PSG) is the standard diagnostic test. However, PSG is time-consuming and may result in long waiting periods. To address this, portable and wearable tools have been developed as low-cost alternatives to PSG for OSA classification. This paper presents a deep neural network (DNN)-based model that uses peripheral oxygen saturation (SpO2) signals to classify OSA severity. The model achieves high accuracy and sensitivity, with potential for clinical use.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Review
Behavioral Sciences
Iman Idrees, Alessio Bellato, Samuele Cortese, Madeleine J. Groom
Summary: We conducted a systematic review and meta-analysis to explore the impacts of stimulant and non-stimulant medications on autonomic functioning in individuals with ADHD. We searched multiple databases for relevant studies and included a variety of measures for autonomic activity. The findings suggest that both stimulants and non-stimulants can increase heart rate and blood pressure in individuals with ADHD, and stimulant use is associated with increased arousal as indicated by electrodermal activity and pupil diameter. However, the diverse methodologies employed in the included studies highlight the need for more standardized and rigorous research to fully elucidate the relationship between arousal, medication, and behavior in ADHD.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2023)
Review
Medicine, General & Internal
Nicole Mussi, Roberta Forestiero, Giulia Zambelli, Letizia Rossi, Maria Rosaria Caramia, Valentina Fainardi, Susanna Esposito
Summary: Obstructive sleep apnea syndrome (OSA) is the main manifestation of sleep-disordered breathing in children. Adenoid and/or tonsil hypertrophy are the most common causes of upper airway lumen reduction in children aged 2 years or older. Both surgical and non-surgical options are effective treatments for OSA in children.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Energy & Fuels
Yao Wang, Cuiyan Bai, Xiaopeng Qian, Wanting Liu, Chen Zhu, Leijiao Ge
Summary: A lightweight convolutional neural network-based method was proposed to detect DC series arc faults in PV systems, achieving a high detection accuracy of up to 98.81% under various test conditions. The efficientnet-B1 model showed the highest accuracy of 96.16% compared to other similar models. A attention mechanism was also introduced to focus on arc features and reduce unnecessary computation.
Article
Energy & Fuels
Jiaan Zhang, Chenyu Liu, Leijiao Ge
Summary: This study proposes a model-based multi-channel convolutional neural network and temporal convolutional network to improve the short-term load forecasting performance of EV charging load. Experimental results demonstrate that the proposed model outperforms other models in terms of accuracy.
Article
Engineering, Electrical & Electronic
Yu Tang, Xiang Liu, Zhe Shi, Leijiao Ge, Lin Jiang
Summary: In order to improve the energy efficiency of power electronic systems, DC-DC converters can increase the power density by increasing the operating frequency. A single-switch frequency-doubling (SS-FD) modulation method has been proposed, but it leads to uneven heating of the switches and reduces the overall device life. To optimize this problem, this paper proposes a dual-switches time-sharing frequency-doubling (DSTS-FD) modulation, which ensures balanced heating of each switch and increases the overall service life of the equipment. Theoretical analysis and experimental verification demonstrate the superiority of the proposed modulation method.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Fang Yao, Mingwei Li, Leijiao Ge, Wenlong Liao, Kody Powell
Summary: This paper proposes a two-line-same-phase AC standstill measurement (TLSP-ACSM) method to solve the problem of accurate d-q-axis inductance values in permanent magnet synchronous motors (PMSM) under vector control. The effectiveness of the proposed method is verified through analysis of motor synthetic magnetomotive force and theoretical error of inductance measurement, followed by experiments. Comparing with another measurement method, it is demonstrated that TLSP-ACSM reduces the relative errors of d-axis and q-axis inductance measurements by about 23% and 21% respectively. TLSP-ACSM shows better measurement precision and tracking performance when considering magnetic flux leakage.
JOURNAL OF POWER ELECTRONICS
(2023)
Article
Computer Science, Hardware & Architecture
Xingzhen Bai, Feiyu Qin, Leijiao Ge, Lin Zeng, Xinlei Zheng
Summary: This article proposes a dynamic state estimation method for synchronous generators with an event-triggered scheme to address the challenges of distorted measurement results and data transmission pressure. The method first establishes a nonlinear model to describe the dynamics of generators, and then adopts a measure-based event-triggering scheme to schedule data transmission, reducing communication pressure and enhancing resource utilization. Finally, an improved regularized particle filter (IRPF) algorithm is designed to ensure estimation performance.
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Xingzhen Bai, Xinlei Zheng, Leijiao Ge, Wenlong Liao, Kody Powell, Jiaan Zhang
Summary: In this paper, a dynamic event-based forecasting-aided state estimation (FASE) method is proposed to solve the state estimation problem of active distribution systems (ADS) with communication constraints and non-linear measurements. The method constructs a state-space model of ADS to describe system state evolution and uses a dynamic event-triggered scheme (ETS) to optimize data transmission. To handle non-linear measurements, the Gaussian integral is approximated using the spherical cubature rule. The proposed method also minimizes the upper bound of estimation error covariance and develops the dynamic event-triggered cubature Kalman filter (DET-CKF) algorithm for state estimation in ADS.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Yuanzheng Li, Xiao Ren, Zhixian Ni, Tianyang Zhao, Leijiao Ge, Xi Li, Yunfeng Luo, Yong Zhao
Summary: In this paper, a coordinated operation method for a system containing electric vehicle charging stations and a distribution power network is proposed. This method considers integrated energy and reserve regulation. Firstly, a multi-objective optimization model is proposed based on the network calculus theory, considering economic cost and quality of service. Secondly, a characteristic function and a modified Shapely value method based on the coalition game are adopted to study the allocation of economic benefits brought by the coordinated operation. Finally, simulation studies validate the effectiveness of the proposed method by comparing the operation costs of the system in non-coordinated and coordinated modes.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yushuo Pei, Yu Tang, Hucheng Xu, Jincai Niu, Leijiao Ge
Summary: This article proposes a modified carrier-based discontinuous pulsewidth modulation (MCB-DPWM) scheme for the Vienna rectifier with improved zero-sequence voltage injection. The MCB-DPWM effectively eliminates zero-crossing distortion, reduces NP voltage fluctuation, and switching loss, resulting in higher input current quality and efficiency. It features a simpler implementation and less computational burden than space-vector-based PWM, making it more suitable for high-frequency applications.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Yu Tang, Hucheng Xu, Yushuo Pei, Fang Yao, Leijiao Ge
Summary: This paper proposes an adaptive droop control method to address the issue of unbalanced output current in parallel-connected resonant converters caused by differences in resonant components. By analyzing the output voltage accuracy of the converter under traditional droop control when the load changes, the effectiveness of the adaptive droop control method is demonstrated.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Qinglin Meng, Jing Xu, Leijiao Ge, Zhongguan Wang, Jianxiao Wang, Liang Xu, Zhipeng Tang
Summary: In this study, an optimal operation model of integrated energy system in coastal areas was developed, with the goal of minimizing the daily total operating cost and the amount of abandoned wind. The output conditions of the corresponding equipment were also taken into consideration. The adjustable characteristics of seawater desalination load were analyzed, and the adjustment range of seawater desalination load was calculated. A new optimization operation method for the integrated energy system in coastal areas, considering the desalination load, was proposed. Simulation verification using a winter scene in a coastal area in northern China showed that the proposed strategy effectively reduced the total daily operation cost by 4.6% and increased the wind power consumption rate by 2.87%, demonstrating the significant role of the designed integrated energy system operation strategy in improving the system operation economy and promoting the consumption of new energy.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2023)
Article
Energy & Fuels
Wentao Huang, Bohan Zhang, Leijiao Ge, Jun He, Wenlong Liao, Peilei Ma
Summary: Under the goal of achieving carbon peaking and carbon neutrality, this paper proposes an optimal scheduling strategy for electrolytic water to hydrogen production in a zero-carbon park type microgrid for optimal utilization of the electrolyzer. The Beluga Whale Optimization (BWO) algorithm is improved to solve the model faster and with better optimization finding capability. The simulation results demonstrate that the proposed dispatching strategy yields a 12.5% higher daily revenue value compared to the traditional dispatching strategy for microgrids, and the impact of hydrogen selling price and new energy feed-in tariff on the proposed strategy is also analyzed.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Leijiao Ge, Hangxu Liu, Jun Yan, Yuanzheng Li, Jiaan Zhang
Summary: This paper proposes a virtual collection technology based on computational intelligence to enable high-precision data collection of distributed photovoltaics (DPVs). A deep recurrent denoising autoencoder (D-RDAE) is used to capture the spatial-temporal correlation of DPVs and find the optimal reference power station (RPS). An affine artificial neural network (AANN) is constructed to tackle the uncertainty of solar radiation intensity and select RPSs. Experimental results demonstrate the effectiveness and superiority of the proposed method.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Xialin Li, Pengfei Li, Leijiao Ge, Xunyang Wang, Zhiwang Li, Lin Zhu, Li Guo, Chengshan Wang
Summary: A unified control method is proposed for a bi-directional DC-DC converter based super-capacitor (SC) system in DC microgrids (DCMGs), enabling power smoothing and SC terminal voltage regulation simultaneously. The proposed control utilizes only local measurements and features plug-and-play capability. Two indices, equivalent power supporting time and inertia contributed by the unified controlled SC system, are introduced for quantitative analysis and effective design. Analytical solutions are obtained for the two indices using a simplified model of a DCMG. A systematic design method is presented for the proposed unified control. The proposed control is verified through theoretical analyses and a switching model in PSCAD/EMTDC.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2023)
Article
Computer Science, Artificial Intelligence
Yuan Zhou, Jieke Hao, Shuwei Huo, Boyu Wang, Leijiao Ge, Sun-Yuan Kung
Summary: Few-shot learning aims to learn a model that can identify unseen classes using only a few training samples from each class. Existing methods often require manually predefined metric functions, while we propose a novel automatic metric search (Auto-MS) model, which automatically searches task-specific metric functions. By incorporating the episode-training mechanism into the bilevel search strategy, the proposed Auto-MS achieves superior performance in few-shot learning problems, as demonstrated by extensive experiments on miniImageNet and tieredImageNet datasets.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Energy & Fuels
Bing Sun, Ruipeng Jing, Yuan Zeng, Leijiao Ge, Gang Liang, Shimeng Dong
Summary: This study proposes a distributed optimal dispatching method that considers the interactive demand between IEMG and SDN with multiple gird-connected points. The method enhances the operation flexibility of SDN and increases the benefits for all entities.
IET ENERGY SYSTEMS INTEGRATION
(2023)
