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Wearable electronic nose based on embroidered amine sensors on the fabric substrates

Wearable electronic nose based on embroidered amine sensors ...

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

作者： Thara Seesaard Panida Lorwongtragool Teerakiat Kerdcharoen Materials Science and Engineering Programme and Center of Intelligent Materials and Systems (CIMS) Faculty of Science Mahidol University Bangkok Thailand Faculty of Science and Technology Rajamangala University of Technology Nonthaburi Thailand NANOTEC Center of Excellence National Nanotechnology Center Department of Physics Faculty of science Mahidol University Bangkok Thailand

The purpose of this work is a novel design and fabrication of wearable amine sensor embroidered into fabric substrates based on polymer/SWNT-COOH nanocomposite and applied as electronic nose (e-nose) system. The wearable amine sensors were fabricated by drop coating and embroidery processes. Various polymers, namely, polyvinyl chloride (PVC), cumene terminated polystyrene-co-maleic anhydride (cumene-PSMA), poly (styrenecomaleic acid) partial isobutyl/methyl mixed ester (PSE), and polyvinylpyrrolidon (PVP) were blended with SWNT-COOH to produce 4 kinds of polymer/SWNT-COOH nanocomposites, then deposited onto the interdigitate electrodes previously prepared by embroidering conductive yarn on the fabric substrate. The prepared fabric sensors can be fully integrated into wearable surface of shirts. The connection to external electronic circuit can be done conveniently to obtain the sensing data. Wearable amine sensors for e-nose were used to distinguish odor of ammonium hydroxide and triethlyamine, which are usually found in the emission from the human body. These wearable sensors will be very useful for monitoring malodors that have volatile amine in its content. This study can solve wearable sensors' drawbacks, including uncomfortable wearing and washing problems. Therefore, the embroidered sensors with the capability of detecting volatile compounds can be detached before washing the clothes and the variety of gas sensing makes it highly suitable for applications as wearable electronic nose for body odor detection and using a simple pattern recognition based on the principal component analysis (PCA) for discriminating between the responses of wearable amine sensor array to gas odors.

关键词： Fabrics Wearable sensors Gas detectors Biomedical monitoring Polymers Resistance

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Predicting three-way interactions of proteins from expression profiles based on correlation coefficient

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IPSJ Transactions on Bioinformatics 2012年 5卷 34-43页

作者： Inoue, Etsuko Murakami, Sho Fujiki, Takatoshi Yoshihiro, Takuya Takemoto, Atsushi Ikegami, Haruka Matsumoto, Kazuya Nakagawa, Masaru Faculty of Systems Engineering Wakayama University Wakayama 640-8510 Japan Graduate School of Systems Engineering Wakayama University Wakayama 640-8510 Japan Graduate School of Biology-Oriented Science and Technology Kinki University Kinokawa Wakayama 649-6493 Japan NTT Data Corporation Japan

In this study, we propose a new method to predict three-way interactions among proteins based on correlation coefficient of protein expression profiles. Although three-way interactions have not been studied well, this kind of interactions are important to understand the system of life. Previous studies reported the three-way interactions that based on switching mechanisms, in which a property or an expression level of a protein switches the mechanism of interactions between other two proteins. In this paper, we proposed a new method to predict three-way interactions based on the model in which A and B work together to effect on the expression level of C. We present the algorithm to predict the combinations of three proteins that have the three-way interaction, and evaluate it using our real proteome data.

关键词： Proteins

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Health status monitoring by discrimination of exhaled breath with an electronic nose

Health status monitoring by discrimination of exhaled breath...

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Biomedical engineering International Conference (BMEiCON)

作者： Thara Seesaard Teerakiat Kerdcharoen Sumana Kladsomboon Panida Lorwongtragool Taya Kitiyakara Materials Science and Engineering Programme and Center of Intelligent Materials and Systems (CIMS) Faculty of Science Mahidol University Bangkok Thailand Faculty of Science and Technology Rajamangala University of Technology Nonthaburi Thailand Department of Physics Faculty of Science Mahidol University Bangkok Thailand Division of Gastroenterology and Hepatology Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok Thailand

ISBN: (纸本)9781467348904

In an aging society, people unprecedentedly spend more attention to routine assessment of their health status. Besides self-check and doctor's examination, there are also biomedical devices capable of monitoring and indicating the status of human health. In this paper, we proposed an electronic nose system that has been developed to have the ability to detect odor from human breath in order to indicate the health status of its owner. Metal-porphyrins (MPs)/SWNT-COOH and polymer/SWNT-COOH nanocomposites sensors were used as the array of chemical gas sensors inside the electronic nose system. These sensing materials are sensitive to odor molecules presented in the exhaled breath. The constructed device consumes low power and can be operated at room temperature. A preliminary experiment was conducted on the sample group consisting of cancer patients and healthy volunteers to distinguish their health status indicating diseases. It was found that the e-nose can detect exhaled breath odors and discriminate the pattern of breath odor of each person. This will be useful in discriminating one's breath odor and identifying his health status. This device could help reduce the risks of getting infected from any disease beforehand.

关键词： Cancer Electronic noses Gas detectors Diseases Materials Principal component analysis

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H∞ consensus of nonlinear multi-agent systems based on T-S fuzzy models

H∞ consensus of nonlinear multi-agent systems based on T-S ...

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Chinese Control Conference (CCC)

作者： Zhao Yan Karimi Hamid Reza Li Bing Huijun Gao Shenzhen Graduate School Harbin Institute of Technology Shenzhen China Department of Engineering Faculty of Engineering and Science University of Agder Grimstad Norway Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang China

In general, due to some limitations of nonlinear control methods, it is difficult to analyze control performance for nonlinear multi-agent network. The T-S fuzzy model-based approach is often introduced to help solve the performance analysis in nonlinear systems, but the problem of nonlinear follower agents approaching a time-varying leader is difficult to be formulated by using the general T-S fuzzy modeling method. In this paper, a novel T-S fuzzy modeling method is proposed, and the error dynamics between the states of agents and the leader signal, evolving according to an isolated unforced nonlinear agent model, is described by a set of T-S fuzzy models. Based on the model, leader-following consensus algorithm is conveniently designed so that under external disturbances, all the follower agents achieve consensus with the leader guaranteeing a prescribed disturbance attenuation level in H ∞ sense. Finally, simulations with chaotic dynamic systems and sinusoidal functions are presented, and by applying the obtained results to the initial nonlinear systems, the effectiveness of the obtained results is illustrated.

关键词： Multiagent systems Nonlinear systems Mathematical model Couplings Protocols Lead Attenuation

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Effects of foot placement on the lower extremity in the swing phase during stair ascending: Implications for transfemoral prostheses

Effects of foot placement on the lower extremity in the swin...

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IEEE/ICME International Conference on Complex Medical engineering, CME

作者： Koh Inoue Hiroaki Hobara Takahiro Wada Department of Intelligent Mechanical Systems Engineering Kagawa University Takamatsu Kagawa Japan Department of Kinesiology University of Maryland College Park MD USA Faculty of Information Science and Engineering Ritsumeikan University Kusatsu Shiga Japan

Stair ascending, especially step-over-step gait, is a difficult motor task for people with transfemoral amputation. Although many types prosthetic knees have been developed to attempt such locomotion, finding alternative methods is also important. The purposes of the present study were to (a) elucidate the effects of foot placement, as part of stair ascending strategies, on the lower extremity motion of able-bodied subjects and (b) investigate the effectiveness of these strategies on transfemoral prosthetic leg swinging during stair ascending in a computer simulation. In the experiment, 2 different foot placement strategies on a step were conducted with able-bodied subjects: the full-foot contact (FFC) and half-foot contact (HFC) strategies. HFC made the toe trajectory straighter, mainly owing to the knee joint motion. The joint moments at the hip and knee were smaller in the HFC condition than the FFC condition. These results suggest that HFC causes the leg swing to have more inertial motion than FFC and demonstrate the applicability of the HFC condition for transfemoral prostheses without any actuators. In the computer simulation based on the results of the first experiment, various inertial properties of a transfemoral prosthesis were examined to accomplish leg swing without tripping. Only in the HFC condition specific inertial properties allowed the prosthesis to avoid colliding with the stairs. These simulation results suggest that with natural motion, transfemoral prostheses without assistive devices could allow successful leg swing for step-over-step gait with the HFC condition and appropriate inertial properties.

关键词： Hybrid fiber coaxial cables Hip Numerical models

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Exploiting the functional training approach in B-Splines

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IFAC Proceedings Volumes 2012年第4期45卷 127-132页

作者： António E Ruano Cristiano L. Cabrita Pedro M. Ferreira László T. Kóczy Centre for Intelligent Systems IDMEC IST University of Algarve 8005-139 Faro Portugal Algarve STP – Algarve Science & Technology Park 8005-139 Faculty of Engineering Sciences Széchenyi István University Gyõr Hungary

When used for function approximation purposes, neural networks belong to a class of models whose parameters can be separated into linear and nonlinear, according to their influence in the model output. This concept of parameter separability can also be applied when the training problem is formulated as the minimization of the integral of the (functional) squared error, over the input domain. Using this approach, the computation of the gradient involves terms that are dependent only on the model and the input domain, and terms which are the projection of the target function on the basis functions and on their derivatives with respect to the nonlinear parameters, over the input domain. These later terms can be numerically computed with the data. The use of the functional approach is introduced here for B-splines. An example shows that, besides great computational complexity savings, this approach obtains better results than the standard, discrete technique, as the performance surface employed is more similar to the one obtained with the function underlying the data. In some cases, as shown in the example, a complete analytical solution can be found.

关键词： Neural networks training parameter separability functional back-propagation

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Reducing the calibration points of multisensors

Reducing the calibration points of multisensors

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Oleksiy Roshchupkin Radislav Smid Volodymyr Kochan Anatoly Sachenko Faculty of Computer Science Chernivtsi National University Chernivtsi Ukraine Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Research Institute of Intelligent Computer Systems Ternopil National Economic University Ternopil Ukraine

ISBN: (纸本)9781467315906

Goal of this paper is to develop the method identification of multisensors characteristic curve using neural networks and minimize the number of calibration points required to find an appropriate characteristic curve for the input-to-output relationship of multisensors. A proposed original method illustrates how to improve the prediction accuracy of calibration results for multisensors despite the high level of random error.

关键词： Calibration Training Sensors Accuracy Biological neural networks Function approximation

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Erratum to: Methods for evaluating medical tests and biomarkers

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Diagnostic and prognostic research 2017年第1期1卷 11页

作者： Gowri Gopalakrishna Miranda Langendam Rob Scholten Patrick Bossuyt Mariska Leeflang Anna Noel-Storr James Thomas Iain Marshall Byron Wallace Penny Whiting Clare Davenport Gowri GopalaKrishna Isabel de Salis Sue Mallett Robert Wolff Richard Riley Marie Westwood Jos Kleinen Gary Collins Hans Reitsma Karel Moons Antonia Zapf Annika Hoyer Katharina Kramer Oliver Kuss J Ensor J J Deeks E C Martin R D Riley Gerta Rücker Susanne Steinhauser Martin Schumacher Joie Ensor Kym Snell Brian Willis Thomas Debray Jon Deeks Lavinia Ferrante di Ruffano Sian Taylor-Phillips Chris Hyde Stuart A Taylor Gauraang Batnagar Lavinia Ferrante Di Ruffano Farah Seedat Aileen Clarke Sarah Byron Frances Nixon Rebecca Albrow Thomas Walker Carla Deakin Zhivko Zhelev Harriet Hunt Yaling Yang Lucy Abel James Buchanan Thomas Fanshawe Bethany Shinkins Laure Wynants Jan Verbakel Sabine Van Huffel Dirk Timmerman Ben Van Calster Aeliko Zwinderman Jason Oke Jack O'Sullivan Rafael Perera Brian Nicholson Hannah L Bromley Tracy E Roberts Adele Francis Denniis Petrie G Bruce Mann Kinga Malottki Holly Smith Lucinda Billingham Alice Sitch Oke Gerke Mie Holm-Vilstrup Eivind Antonsen Segtnan Ulrich Halekoh Poul Flemming Høilund-Carlsen Bernard G Francq Jac Dinnes Julie Parkes Walter Gregory Jenny Hewison Doug Altman William Rosenberg Peter Selby Julien Asselineau Paul Perez Aïssatou Paye Emilie Bessede Cécile Proust-Lima Christiana Naaktgeboren Joris de Groot Anne Rutjes Johannes Reitsma Emmanuel Ogundimu Jonathan Cook Yannick Le Manach Yvonne Vergouwe Romin Pajouheshnia Rolf Groenwold Karen Moons Linda Peelen Daan Nieboer Bavo De Cock Micael J Pencina Ewout W Steyerberg Jennifer Cooper Nick Parsons Chris Stinton Steve Smith Andy Dickens Rachel Jordan Alexandra Enocson David Fitzmaurice Peymane Adab Charles Boachie Gaj Vidmar Karoline Freeman Martin Connock Rachel Court Carl Moons Jessica Harris Andrew Mumford Zoe Plummer Kurtis Lee Barnaby Reeves Chris Rogers Veerle Verheyden Gianni D Angelini Gavin J Murphy Jeremy Huddy Melody Ni Katherine Good Graham Cooke 1Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 2Cochrane Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht Netherlands. 234Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 49Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 3Cochrane Dementia and Cognitive Improvement Group University of Oxford Oxford UK. 4EPPI-Centre Department of Social Science University College London London UK. 5Division of Health and Social Care Research King's College London London UK. 6College of Computer and Information Science Northeastern University Boston USA. 13University Hospitals Bristol NHS Foundation Trust School of Social and Community Medicine Bristol UK. 275Institute of Applied Health Research University of Birmingham Birmingham UK. 9Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 10School of Social and Community Medicine University of Bristol Bristol UK. 179Institute of Applied Health Research University of Birmingham Birmingham UK. 12Kleijnen Systematic Reviews Ltd York UK. 25Research Institute for Primary Care and Health Sciences Keele University Keele UK. 188Centre for Statistics in Medicine Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK. 191Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 237Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 18Department of Medical Statistics University Medical Center Göttingen Göttingen Germany. 19Institute for B

[This corrects the article DOI: 10.1186/s41512-016-0001-y.].

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Enlarging output of high torque controllable clutch using ER gel

Enlarging output of high torque controllable clutch using ER...

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IEEE International Conference on Mechatronics and Automation

作者： Yudai Takata Ken'ichi Koyanagi Hidenobu Anzai Koji Sakurai Yasuhiro Kakinuma Tatsuo Motoyoshi Toru Oshima Department of Intelligent Systems Design Engineering Toyama Prefectural University Imizu Toyama Japan Fujikura Kasei Company Limited Kuki Saitama Japan Faculty of Science and Technology Keio University Yokohama Japan

This study is concerned with the development of an Electro-Rheological (ER) Gel Linear Actuator (ERGLA) as the principle component of a high torque controllable clutch that has applications in robots that coexist with humans. Applying the ER gel to clutches in force transmission assembly decreases the inertia and mechanical limit of the maximum speed, enabling keeping high controllability. This paper focuses on enlarging the output torque of the clutch with ER gels, which is a the main part of the ERGLA.

关键词： Shafts Electric fields Torque Erbium Automatic voltage control Electrodes

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Online sequential extreme learning machine for classification of mycobacterium tuberculosis in ziehl-neelsen stained tissue

Online sequential extreme learning machine for classificatio...

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International Conference on Biomedical engineering (ICoBE)

作者： Muhammad Khusairi Osman Mohd Yusoff Mashor Hasnan Jaafar Faculty of Electrical Engineering Universiti Teknologi MARA Malaysia Electronic & Biomedical Intelligent Systems (EBItS) Research Group School of Mechatronic Engineering Universiti Malaysia Pedis Malaysia Department of Pathology School of Medical Science Universiti Sains Islam Malaysia Malaysia

The application of image processing and artificial intelligence for computer-aided tuberculosis (TB) diagnosis has received considerable attention over the past several years and still is an active research area. Several approaches have been proposed to improve the diagnostic performance in term of diagnostic accuracy and processing efficiency. This paper studies the performance of a recent training algorithm called Online Sequential Extreme Learning Machine (OS-ELM) for detection and classification of TB bacilli in tissue specimens. The algorithm is used to train a single hidden layer feedforward network (SLFN) using a set of data consists of simple geometrical features, such as area, perimeter, eccentricity and shape factor as feature vectors. All of these features are extracted from tissue images which consist of TB bacilli and further classified into three types; TB, overlapped TB and non-TB. Promising result with 91.33% of testing accuracy has been achieved for the OS-ELM using sigmoid activation function and 40-by-40 learning mode.

关键词： Training Classification algorithms Learning systems Machine learning Feature extraction Joining processes

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