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6th International Conference on Biomedical and Health Informatics, ICBHI 2024

作者： Hung, Wen-Kai sun, Ming-Hsuan Lu, Chi-Jen Chen, Yu-Xian Lin, Yue-Der Master’s Program in the Department of Automatic Control Engineering Feng Chia University Taichung40724 Taiwan Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung40724 Taiwan

ISBN: (纸本)9783031863226

Cardiovascular diseases (CVD) are one of the major global health threats, causing millions of deaths each year. According to data from the World Health Organization, over 500 million people are affected by cardiovascular diseases, resulting in over 20 million deaths in 2021 alone, accounting for about one-third of the total global deaths. Invasive blood pressure measurement methods not only cause discomfort to patients but also pose a risk of infection. Meanwhile, cuffless cuff-based methods cannot provide continuous monitoring. Therefore, the purpose of this study is to develop a cuffless continuous blood pressure measurement system based on photoplethysmography (PPG). By using waveform measurement technology, we aim to provide a more comfortable and safer method for blood pressure monitoring, thereby enhancing the management of cardiovascular diseases. © The Author(s), under exclusive license to springer Nature switzerland AG 2025.

关键词： Blood pressure

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A computationally efficient algorithm for estimating respiratory rate from seismocardiogram

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Biomedical signal Processing and control 2025年 109卷

作者： Ku, Tienhsiung Lin, Yue-Der Department of Anesthesiology Changhua Christian Hospital Changhua50051 Taiwan Artificial Intelligence Development Center Changhua Christian Hospital Changhua50051 Taiwan Department of Automatic Control Engineering Feng Chia University Taichung40724 Taiwan Master's Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung40724 Taiwan

Respiratory rate (RR) monitoring is crucial in clinical and healthcare settings. With advancements in microelectromechanical system (MEMs) technology, monitoring respiration using seismocardiogram (sCG) has emerged as a promising approach. This study presents a computationally efficient algorithm for estimating RR from sCG signal. The proposed algorithm consists of two primary steps: first, applying Gaussian averaging filter for pre-processing, followed by computing the averaged spectrum from the scalogram based on complex Morlet wavelet within the specified frequency range. RR is then estimated from the dominant frequency that appears in the averaged spectrum. This study also establishes the analytical relationship between the parameters of Gaussian averaging filter and the sampling frequency of sCG signal, which serves as the design criterion for pre-processing filter. The proposed algorithm undergoes testing on two sCG datasets and demonstrates its feasibility for estimating RR from sCG signal. The algorithm is also tested on both finger and wrist PPG datasets for RR estimation. The test results present high agreement between the RR estimations from sCG (or PPG) signal and those from respiration signal. Furthermore, an experiment using the dataset collected with a magnetic field-based respiration sensor during pulmonary rehabilitation is conducted to validate the algorithm's robustness against motion artifacts. Based on the testing results, the proposed algorithm shows significant potential in clinical and healthcare applications. © 2025 Elsevier Ltd

关键词： Gaussian distribution

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controllability Analysis of Multi-Modal Acoustic Particle Manipulation in One-Dimensional standing Waves

arXiv

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arXiv 2025年

作者： Wu, Dongjun Perticarari, Guilherme Baasch, Thierry Department of Automatic Control Lund University Box 118 LundSE-221 00 Sweden Master’s in Machine Learning Systems and Control programme Lund University Sweden Department of Biomedical Engineering Lund University Box 118 LundSE-221 00 Sweden

Acoustic manipulation in microfluidic devices enables contactless handling of biological cells for Lab-on-Chip applications. This paper analyzes the controllability of multi-particle systems in a one-dimensional acoustic standing wave system using multi-modal actuation. By modeling the system as a nonlinear control system, we analyze its global and local controllability, quantifying these properties in terms of mode numbers. Our results show that sufficient modes enable dense reachability sets, while mode mixing with 10 modes grants a strict notion of controllability to 80% of the state space in a two-particle system. These findings offer theoretical insights for designing acoustic manipulation algorithms, supporting efficient control in biomedical applications. © 2025, CC BY.

关键词： controllability

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spectral characteristics of microcirculatory signals response to muscle stretching among diabetic smokers 17

Spectral characteristics of microcirculatory signals respons...

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4th International Conference on Biomedical and Bioinformatics engineering, ICBBE 2017

作者： Bau, Jian-Guo Lin, Yue-Der Huang, Bo-Wen Department of Biomedical Engineering Hungkuang University Taichung43302 Taiwan Department of Automatic Control Engineering Feng Chia University Taichung40724 Taiwan Master's Program of Bioinformatics and Biomedical Engineering Feng Chia University Taichung40724 Taiwan

ISBN: (纸本)9781450354844

Cigarette smoking is reported to be the major risk factor for endothelial dysfunction. The variations of the spectral compositions of microcirculatory perfusion signal could provide the information related to the regulatory function of microvasculature. The aim of the present study was to compare the spectral characteristics response to muscle stretching between diabetic smokers and non-smokers, and investigate the influence of cigarette smoking on microvascular function. Twenty four diabetic patients (12 smokers v.s. 12 non-smokers) and twelve normal non-smoking subjects were recruited. We observed that the diabetic smokers had a significantly reduced endothelial activity. The mechanisms for the reduction of the endothelial activity remain to be elucidated. The spectral analysis might be used to evaluate endothelial function for research, for diagnostic purposes, and maybe also to assess effects of therapy in cardiovascular diseases. © 2017 Association for Computing Machinery.

关键词： spectrum analysis

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An efficient ICA approach based on neural network framework for biomedical applications

An efficient ICA approach based on neural network framework ...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Lin, Yue-Der Hsu, Chih-Yu Chen, Hung-Yun Tseng, Kuo-Kun Department of Automatic Control Engineering Master Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Information and Communication Engineering Chaoyang University of Technology Wufeng Taichung County Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Computer Science and Engineering HungKuang University Taichung Taiwan

ISBN: (纸本)9781424469178

The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. source signals including electrocardiogram (ECG), electromyogram (EMG) and 60-Hz sinusoid are linearly mixed for experimental tests. The mean-square errors (MsE) between the original sources and the separated signals are calculated for the evaluation of separation performance. These results demonstrated that the proposed block-wise approach can achieve the desired separation performance of signals in a more efficient way. © 2010 IEEE.

关键词： Independent component analysis

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Analyzing significance of Facial Features for Detection of Parkinson's Disease via static Images 4

Analyzing Significance of Facial Features for Detection of P...

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4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024

作者： Chiu, Chuang-Chien Yeh, shoou-Jeng sun, Yen-Chi Feng Chia University Department of Automatic Control Engineering Taichung Taiwan Cheng-Ching General Hospital Section of Neurology and Neurophysiology Taichung Taiwan Feng Chia University Master's Program of Biomedical Informatics and Biomedical Engineering Taichung Taiwan

ISBN: (纸本)9798350360721

Parkinson's disease (PD) is a neurodegenerative disorder often characterized by motor symptoms such as hypomimia, and a reduction in facial expression. We explored the significance of facial features in identifying PD through static images, focusing on detecting hypomimia. A dataset comprised of PD patients and healthy controls' static facial images were collected and analyzed. Facial feature detection was conducted using OpenCV and Dlib libraries for the precise localization of key landmarks. In the subsequent feature extraction, parameters such as symmetry, eye aspect ratio, mouth corner distance, muscle tension, and mouth aperture ratio were used. Through the standardization of these features, meaningful comparisons across diverse images were made. By analyzing hypomimia-related features alongside traditional facial parameters, the results provide a comprehensive understanding of the role of facial expressions in PD diagnosis. The findings suggested that examining facial features in static images enhances the accuracy of PD detection and understanding of the nuanced motor symptoms associated with the disease. © 2024 IEEE.

关键词： Feature extraction

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Influence of programming Robot Learning Mode Based on Conceptual Mapping on College students' Computational Thinking 3

Influence of Programming Robot Learning Mode Based on Concep...

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3rd IEEE Eurasia Conference on IOT, Communication and engineering, ECICE 2021

作者： Chen, Bing-Hong Chen, Ling-Hsiu Chen, Chih-Cheng Chen, Chih-Hung Chaoyang University of Technology Department of Information Management 41349 Taiwan Control Engineering Feng Chia University Department of Automatic 40724 Taiwan National Taichung University of Education Master Program of Professional Teacher 403454 Taiwan

ISBN: (纸本)9781665445160

As the information age has progressed, computational thinking ability to solve problems has become an indispensable way of life in life. Many scholars believe that the process of solving problems will be more logical if they have computational thinking ability. At the same time, scholars believe that a good learning method improves learners' intrinsic motivation. Therefore, in this research, we try to use conceptual mapping so that students can construct knowledge when composing their own images, as the focus of this learning model and computational thinking is the thinking process and the two coincide. This research intends to introduce the traditional programming robot course into conceptual mapping and measure whether there are differences in computational thinking tendencies, problem-solving tendencies, and intrinsic motivations between students who use conceptual mapping and those who do not use it. The students in the experimental group with conceptual mapping activities developed computational thinking skills during the program robotics course. The students in the control group first watched the computational thinking explanation video to explain the computational thinking skills to the students, and then taught in the traditional programming robotics course. © 2021 IEEE.

关键词： students

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Application of brain wave signal in anisometropia examination

Application of brain wave signal in anisometropia examinatio...

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2021 International symposium on Intelligent signal Processing and Communication systems, IsPACs 2021

作者： Chen, Der-Chin Chang, Chao-Kai Chang, shih-Tsung Liao, Jih-Yi Lin, Chern-sheng Chung, sheng-Fa Feng Chia University Department of Electrical Engineering Taichung Taiwan Yuanpei University of Medical Technology Department of Optometry Hsinchu Taiwan Feng Chia University Professional Master's Program of Optometry Science and Technology Taichung Taiwan Passion Lignt Inc. Taipei Taiwan Feng Chia University Department of Automatic Control Engineering Taichung Taiwan Department of Optometry Yuanpei University of Medical Technology Hsinchu Taiwan

ISBN: (纸本)9781665419512

Anisometropia is due to the different refractive power of the left and right eyes, resulting in uneven eye focus and different diopters of the two eyes, resulting in asymmetric hyperopia, myopia and astigmatism. At present, it is not completely clear what causes anisometropia, but it may be caused by different refractive power of both eyes. The difference of binocular refractive power of normal vision people may be as high as 5%, but people with difference more than 5% are prone to binocular vision. The purpose of this study is to measure the changes of clear and blurred brain wave signals of vision. Through the relationship between brain wave signals and visual response, we analyze the attention and meditation curve of brain wave, and complete the fitting prescription lenses of anisometropia. © 2021 IEEE.

关键词： Binocular vision

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The comparison study between distinct physical fitness norms and their ECG signals under graded exercise intensities and recovery

The comparison study between distinct physical fitness norms...

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2017 IEEE International Conference on Applied system Innovation, ICAsI 2017

作者： Lin, shyan-Lung Lin, Tung-Yi Huang, Cheng-Yi Hsu, Yu-Liang Chang, Hsing-Cheng Department of Automatic Control Engineering Feng Chia University 100 Wenhwa Rd. Seatween Taichung Taiwan Master's Program of Biomedical Informatics and Biomedical Engineering Feng Chia University 100 Wenhwa Rd. Seatween Taichung Taiwan Office of Physical Education and Sports Affairs Feng Chia University 100 Wenhwa Rd. Seatween Taichung Taiwan

ISBN: (纸本)9781509048977

In this paper, we perform the comparison study of ECG signals for subjects at distinct ends of cardiopulmonary fitness. The cardiopulmonary signals were acquired under rest condition, three graded exercise intensities, and recovery periods. The participants were recruited from university freshmen with cardiopulmonary fitness norm in top, middle, and bottom groups. spectral analysis was performed to study the hear rate variability (HRV) from recorded ECG signals. From the view of biomedical signal and statistical analysis, results of current study are expected to provide valuable scientific basis for further evaluation of physical fitness assessment and exercise reinforcement. © 2017 IEEE.

关键词： Electrocardiograms

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Hierarchical Linear-Nonlinear DC Microgrid control

IAENG International Journal of Computer Science

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IAENG International Journal of Computer science 2021年第3期48卷 1-7页

作者： Velez-Ramirez, Juan s. Giraldo, Eduardo Graduated student The master on Electrical Engineering program Universidad Tecnologica de Pereira Pereira Colombia Professor at the Department of Electrical Engineering Universidad Tecnologica de Pereira Research Group in Automatic Control Pereira Colombia

In this work, a method for hierarchical hybrid linear-nonlinear microgrid control is proposed based on nonlinear primary control and linear secondary control. The nonlinear controller is an Extended Feedback Linearization method, and the linear controller is a PID structure. The proposed method is evaluated in several scenarios to validate its performance to disturbances and island operation mode. To this end, three units of distributed generation are included: Photo-Voltaic Energy sources, Energy storage systems, and small-Hydro-Power sources. The results are simulated over a DC microgrid that contains three different distributed generation units with disturbances and island operation mode. As a result, the proposed approach's robustness is validated for several cases, where the advantage of a hierarchical linear-nonlinear structure is shown. © 2021. All Rights Reserved.

关键词： controllers

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