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2012 International Conference on biomedical engineering, ICoBE 2012

作者： Abdullah, Azian Azamimi Rahim, Saufiah Abdul Ibrahim, Adira Biomedical Electronics Engineering Programme School of Mechatronic Engineering University Malaysia Perlis 02600 Ulu Pauh Malaysia

ISBN: (纸本)9781457719899

Epilepsy is one of the most common neurological disorders causing from repeating brain seizures that are the result of the temporal and sudden electrical disturbance of the brain. Electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. This project proposed to develop a system that can detect epilepsy based on EEG signal using artificial neural network. Discrete Wavelet Transform (DWT) and Fast Fourier Transform (FFT) were applied as feature extraction methods. These features then set as input to the feedforward neural network with backpropagation training algorithm to get the classification accuracy. The accuracy of DWT with 10000 epochs is 97% while accuracy of FFT method gives 53.889% accuracy. The combination of DWT and FFT extracted features give the highest accuracy, which is 98.889%. The classification accuracy depends on the number of epoch and the features from the feature extraction. Increased number of epoch gives long response time to train the network. © 2012 IEEE.

关键词： Discrete wavelet transforms

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Retraction Note: The association between prenatal exposure to polycyclic aromatic hydrocarbons and childhood intelligence: a systematic review of observational studies (Environmental Science and Pollution Research, (2023), 30, 8, (19592-19601), 10.1007/s11356-023-25309-w)

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Environmental Science and Pollution Research 2025年第12期32卷 7795-7796页

作者： Ramaiah, Pushpamala Altalbawy, Farag M. A. Margiana, Ria Kumar, N. Bharath Kahar, Fitriani Jalil, Abduladheem Turki Komariah, Aan Failoc-Rojas, Virgilio E. Kadhim, Mustafa M. Sivaraman, R. Iswanto, A. Heri Mustafa, Yasser Fakri Najafi, Moslem Lari Faculty of Nursing Umm Al-Qura University Makkah Saudi Arabia Cairo University Giza12613 Egypt Department of Chemistry University College of Duba Tabuk University Duba71911 Saudi Arabia Department of Anatomy Faculty of Medicine Universitas Indonesia Jakarta Indonesia Master’S Programme Biomedical Sciences Faculty of Medicine Universitas Indonesia Jakarta Indonesia Dr. Soetomo General Academic Hospital Surabaya Indonesia Electrical and Electronics Engineering Department Vignan’S Foundation for Science Technology and Research Guntur India Medical Laboratory Technology Poltekkes Kemenkes Semarang Semarang Indonesia Medical Laboratories Techniques Department Al-Mustaqbal University College Babylon Hilla51001 Iraq Educational Administration Department Faculty of Educational Science Universitas Pendidikan Indonesia Bandung Indonesia Salud Mental Universidad Privada Norbert Wiener Lima Peru Medical Laboratory Techniques Department Al-Farahidi University Baghdad Iraq Department of Mathematics Dwaraka Doss Goverdhan Doss Vaishnav College University of Madras Chennai Arumbakkam India Public Health Department Faculty of Health Science University of Pembangunan Nasional Veteran Jakarta Jakarta Indonesia Department of Pharmaceutical Chemistry College of Pharmacy University of Mosul Mosul41001 Iraq Pharmaceutical Sciences and Cosmetic Products Research Center Kerman University of Medical Sciences Kerman Iran

The Editor-in-Chief and Publisher have retracted this article. An investigation by the Publisher found a number of articles, including this one, which share similar concerns, involving but not limited to, irregularities with respect to authorship and peer review. The Editor-in-Chief therefore no longer has confidence in the results and conclusions presented in this article. Authors Pushpamala Ramaiah, Abduladheem Turki Jalil, R. Sivaraman, A. Heri Iswanto, and Yasser Fakri Mustafa did not respond to correspondence from the Publisher about this retraction. The Publisher has been unable to obtain a current email address for authors Farag M. A. Altalbawy, Ria Margiana, N. Bharath Kumar, Fitriani Kahar, Aan Komariah, Virgilio E. Failoc-Rojas, Mustafa M. Kadhim, and Moslem Lari Najafi. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

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Development of EEG-based epileptic detection using artificial neural network

Development of EEG-based epileptic detection using artificia...

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International Conference on biomedical engineering (ICoBE)

作者： Azian Azamimi Abdullah Saufiah Abdul Rahim Adira Ibrahim Biomedical Electronics Engineering Programme School of Mechatronic Engineering Universiti Malaysia Perlis Kampung Ulu Pauh Perlis Malaysia

关键词： Accuracy Discrete wavelet transforms Electroencephalography Feature extraction Neurons Epilepsy Biological neural networks

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An Eigen Based Feature on Time-Frequency Representation of EMG

An Eigen Based Feature on Time-Frequency Representation of E...

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IEEE International Conference on Research, Innovation and Vision for the Future

作者： Direk Sueaseenak Theerasak Chanwimalueang Chaleeya Praliwanon Manas Sangworasil Chuchart Pintavirooj Bangkok 10520 and Faculty of Medicine Srinakharinwirot University Nakhon Nayok Thailand Department of Electronics Faculty of Engineering King Mongkut''s Institute of Technology Ladkrabang Thailand Biomedical Engineering Programme Faculty of Engineering Srinakharinwirot University Nakhon Nayok Thailand Department of Electronics Faculty of Engineering King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

In this research we used a multi-channel electromyogram acquisition system using programmable system on chip (PSOC) microcontroller from previous work to acquire surface EMG signals. The two channel surface electrodes were used to measure and record EMG signals on forearm muscles. These two channels of EMG signals were performed a blind signal separation by using an independent component analysis (ICA) technique. The well known ICA algorithm called FASTICA is a useful method to separate two or more linear combination of source signals into statistically independent components. We purposed a novel features for the EMG contraction classification. Our feature is derived from the application of time-frequency analysis of the EMG signal followed by the computation of Eigen vector of the time-frequency magnitude spectrum. Our feature is the ratio between the two Eigen values. We have shown the robustness of our features for a variety of muscular contraction. The result is very promising.

关键词： Time frequency analysis Electromyography Independent component analysis System-on-a-chip Microcontrollers Electrodes Semiconductor device measurement Muscles Blind source separation Vectors

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An investigation of robustness in independent component analysis EMG

An investigation of robustness in independent component anal...

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International Conference on Electrical engineering/electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Direk Sueaseenak Theerasak Chanwimalueang Manas Sangworasil Chuchart Pintavirooj Faculty of Medicine Srinakharinwirot University Nakhon Nayok Thailand Department of Electronics Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Biomedical Engineering Programme Faculty of Engineering Srinakharinwirot University Nakhon Nayok Thailand King Mongkut's Institute of Technology Ladkrabang Bangkok TH

We developed a multi-channel electromyogram acquisition system using PSOC microcontroller to acquire multi-channel EMG signals. The two channel surface electrodes were used to measure and record EMG signals on forearm muscles. These two channels of EMG signals were performed a blind signal separation by using an independent component analysis (ICA) technique. The well known ICA algorithm called FASTICA is a useful method to separate two or more linear combination of source signals into statistically independent components. The results show that the ICA applied EMG is more robust than the without ICA applied EMG since the statistic variation is improved.

关键词： Robustness Independent component analysis Electromyography Muscles Electrodes Microcontrollers biomedical engineering Wire Needles Instruments

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Technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Stochastic Exceptional Points for Noise-Assisted Sensing

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Physical Review Letters 2023年第22期130卷 227201-227201页

作者： Zhipeng Li Chenhui Li Ze Xiong Guoqiang Xu Yongtai Raymond Wang Xi Tian Xin Yang Zhu Liu Qihang Zeng Rongzhou Lin Ying Li Jason Kai Wei Lee John S. Ho Cheng-Wei Qiu Department of Electrical and Computer Engineering National University of Singapore Singapore 117583 Singapore Wireless and Smart Bioelectronics Lab School of Biomedical Engineering ShanghaiTech University Shanghai 201210 China Department of Physiology Yong Loo Lin School of Medicine National University of Singapore Singapore 117593 Singapore School of Physics and Electronics Hunan Normal University Changsha Hunan 410081 China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou 310027 China International Joint Innovation Center Key Lab of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang The Electromagnetics Academy of Zhejiang University Zhejiang University Haining 314400 China Heat Resilience and Performance Centre Yong Loo Lin School of Medicine National University of Singapore Singapore 119228 Singapore Human Potential Translational Research Programme Yong Loo Lin School of Medicine National University of Singapore Singapore 119228 Singapore

Noise is a fundamental challenge for sensors deployed in daily environments for ambient sensing, health monitoring, and wireless networking. Current strategies for noise mitigation rely primarily on reducing or removing noise. Here, we introduce stochastic exceptional points and show the utility to reverse the detrimental effect of noise. The stochastic process theory illustrates that the stochastic exceptional points manifest as fluctuating sensory thresholds that give rise to stochastic resonance, a counterintuitive phenomenon in which the added noise increases the system’s ability to detect weak signals. Demonstrations using a wearable wireless sensor show that the stochastic exceptional points lead to more accurate tracking of a person’s vital signs during exercise. Our results may lead to a distinct class of sensors that overcome and are enhanced by ambient noise for applications ranging from healthcare to the internet of things.

关键词： Noise Non-Hermitean systems PT-symmetry Noise measurements

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Single-molecule tracking of myelin basic protein during oligodendrocyte differentiation

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Biological imaging 2023年 3卷 e24页

作者： Sayed M Rassul Masahiro Otsu Iain B Styles Robert K Neely Daniel Fulton Neuroscience and Ophthalmology Research Group Institute of Inflammation and Ageing College of Medical and Dental Sciences University of Birmingham Birmingham UK. Physical Sciences of Imaging in the Biomedical Sciences Training Programme University of Birmingham Birmingham UK. Braizon Therapeutics Inc. Kanagawa Japan. School of Electronics Electrical Engineering and Computer Science Queen's University Belfast Belfast UK. School of Chemistry University of Birmingham Birmingham UK.

This study aimed to expand our understanding of myelin basic protein (MBP), a key component of central nervous system myelin, by developing a protocol to track and quantifying individual MBP particles during oligodendrocyte (OL) differentiation. MBP particle directionality, confinement, and diffusion were tracked by rapid TIRF and HILO imaging of Dendra2 tagged MBP in three stages of mouse oligodendroglia: OL precursors, early myelinating OLs, and mature myelinating OLs. The directionality and confinement of MBP particles increased at each stage consistent with progressive transport toward, and recruitment into, emerging myelin structures. Unexpectedly, diffusion data presented a more complex pattern with subpopulations of the most diffusive particles disappearing at the transition between the precursor and early myelinating stage, before reemerging in the membrane sheets of mature OLs. This diversity of particle behaviors, which would be undetectable by conventional ensemble-averaged methods, are consistent with a multifunctional view of MBP involving roles in myelin expansion and compaction.

关键词： TIRF imaging myelin myelin basic protein oligodendrocyte single-molecule tracking

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Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer (Dec, 10.1038/s41467-019-13824-9, 2022)

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NATURE COMMUNICATIONS 2022年第1期13卷 1-1页

作者： Sieverling, Lina Hong, Chen Koser, Sandra D. Ginsbach, Philip Kleinheinz, Kortine Hutter, Barbara Braun, Delia M. Cortes-Ciriano, Isidro Xi, Ruibin Kabbe, Rolf Park, Peter J. Eils, Roland Schlesner, Matthias Brors, Benedikt Rippe, Karsten Jones, David T. W. Feuerbach, Lars Division of Applied Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Faculty of Biosciences Heidelberg University 69120 Heidelberg Germany Division of Applied Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Biosciences Heidelberg University Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Department for Bioinformatics and Functional Genomics Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant 69120 Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Institute of Pharmacy and Molecular Biotechnology and BioQuant Heidelberg University Heidelberg Germany German Cancer Consortium (DKTK) Heidelberg Germany National Center for Tumor Diseases (NCT) Heidelberg Heidelberg Germany Heidelberg Center for Personalized Oncology (DKFZ-HIPO) German Cancer Research Center (DKFZ) Heidelberg Germany German Cancer Consortium (DKTK) German Cancer Research Center (DKFZ) Heidelberg Germany Division of Chromatin Networks German Cancer Research Center (DKFZ) and BioQuant 69120 Heidelberg Germany Department of Biomedical Informatics Harvard Medical School Boston Massachusetts 02115 USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge CB2 1EW UK Ludwig Center at Harvard Medical School Boston Massachusetts 02115 USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge UK Ludwig Center at Harvard Medical School Boston MA USA School of Mathematical Sciences and Center for Statistical Science Peking University Beijing 100871 China Heidelberg University Heidelberg Germany New BIH Digital Health Center Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin Berlin Germany Bioi

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Corrigendum to: More Than Smell-COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis

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Chemical senses 2021年第46期46卷 bjab050页

作者： Valentina Parma Kathrin Ohla Maria G Veldhuizen Masha Y Niv Christine E Kelly Alyssa J Bakke Keiland W Cooper Cédric Bouysset Nicola Pirastu Michele Dibattista Rishemjit Kaur Marco Tullio Liuzza Marta Y Pepino Veronika Schöpf Veronica Pereda-Loth Shannon B Olsson Richard C Gerkin Paloma Rohlfs Domínguez Javier Albayay Michael C Farruggia Surabhi Bhutani Alexander W Fjaeldstad Ritesh Kumar Anna Menini Moustafa Bensafi Mari Sandell Iordanis Konstantinidis Antonella Di Pizio Federica Genovese Lina Öztürk Thierry Thomas-Danguin Johannes Frasnelli Sanne Boesveldt Özlem Saatci Luis R Saraiva Cailu Lin Jérôme Golebiowski Liang-Dar Hwang Mehmet Hakan Ozdener Maria Dolors Guàrdia Christophe Laudamiel Marina Ritchie Jan Havlícek Denis Pierron Eugeni Roura Marta Navarro Alissa A Nolden Juyun Lim Katherine L Whitcroft Lauren R Colquitt Camille Ferdenzi Evelyn V Brindha Aytug Altundag Alberto Macchi Alexia Nunez-Parra Zara M Patel Sébastien Fiorucci Carl M Philpott Barry C Smith Johan N Lundström Carla Mucignat Jane K Parker Mirjam van den Brink Michael Schmuker Florian Ph S Fischmeister Thomas Heinbockel Vonnie D C Shields Farhoud Faraji Enrique Santamaría William E A Fredborg Gabriella Morini Jonas K Olofsson Maryam Jalessi Noam Karni Anna D'Errico Rafieh Alizadeh Robert Pellegrino Pablo Meyer Caroline Huart Ben Chen Graciela M Soler Mohammed K Alwashahi Antje Welge-Lüssen Jessica Freiherr Jasper H B de Groot Hadar Klein Masako Okamoto Preet Bano Singh Julien W Hsieh Danielle R Reed Thomas Hummel Steven D Munger John E Hayes Department of Psychology Temple University Philadelphia PA USA. Institute of Neuroscience and Medicine (INM-3) Research Center Jülich Wilhelm-Johnen-Straße Jülich Germany. Department of Anatomy Faculty of Medicine Mersin University Çiftlikköy Campus Yenişehir Mersin Turkey. Institute of Biochemistry Food Science and Nutrition The Hebrew University of Jerusalem Rehovot Israel. AbScent Andover Hampshire UK. Department of Food Science The Pennsylvania State University Erickson Food Science Building University Park PA USA. Center for the Neurobiology of Learning and Memory University of California and Qureshey Research Laboratory Irvine CA USA. Institut de Chimie de Nice UMR CNRS 7272 Université Côte d'Azur Avenue Valrose Nice France. Centre for Global Health Research Usher Institute The University of Edinburgh Old Medical School Teviot Place Edinburgh UK. Department of Basic Medical Sciences Neuroscience and Sensory Organs Università degli Studi di Bari A. Moro P.zza G. Cesare Bari Italy. CSIR-Central Scientific Instruments Organisation Chandigarh India. Department of Medical and Surgical Sciences "Magna Graecia" University of Catanzaro Viale Europa (Loc. Germaneto) Catanzaro Italy. Department of Food Science and Human Nutrition and Division of Nutritional Sciences University of Illinois at Urbana Champaign Urbana IL USA. Department of Biomedical Imaging and Image-guided Therapy Medical University of Vienna Währinger Gürtel Vienna Austria. Laboratoire d'Anthropologie Moléculaire et Imagerie de Synthese UMR 5288 CNRS Universitéde Toulouse Toulouse France. National Centre for Biological Sciences Tata Institute of Fundamental Research GKVK Campus Bengaluru India. School of Life Sciences Arizona State University Tempe AZ USA. Department of Psychology and Anthropology University of Extremadura Avenida de la Universidad s/n Cáceres Spain. Department of General Psychology University of Padova Via Venezia Padova Italy. Department of Psychiatry

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