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2020 International Conference on Smart Technology and Applications, ICoSTA 2020

作者： Fadhlannisa, Nisrina Firyal Basari, Basari Universitas Indonesia Biomedical Engineering Course Program West Java Indonesia Universitas Indonesia Biomedical Engineering Course Program Indonesia Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Indonesia

ISBN: (纸本)9781728130835

Parkinson's disease attacking 1 percent of the elder population in this world, with one of the main symptoms of this disease being resting tremor. Until now, Parkinson's disease information acquisition can only be done through patients' visits to clinics or hospitals, whereas the aspects of the disease are also shown during in-between those visits. In this research, we develop an Electromyography (EMG) based remote-monitoring systemin order for patients are able to be checked more frequently and the results are in always-renewed information. This monitoring system utilizes NodeMCU as the compiler component and ESP8266 WiFi module and web server. The data acquired from an arm of a tested person will always be read in real-time and can be displayed on web-based platform. From the data acquired, they are processed in detail for pattern characteristics analysis. We have successfully carried out the experimental test by displaying on the web server-based monitoring system. © 2020 IEEE.

关键词： Neurodegenerative diseases

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Design of Wireless Electromyography (EMG) Monitoring System for Muscle Activity Detection on Parkinson Disease

Design of Wireless Electromyography (EMG) Monitoring System ...

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Smart Technology and Applications (ICoSTA), 2020 International Conference on

作者： Nisrina Firyal Fadhlannisa Basari Basari Biomedical Engineering Course Program Universitas Indonesia West Java Indonesia Biomedical Engineering Course Program Universitas Indonesia

ISBN: (数字)9781728130835

ISBN: (纸本)9781728130842

关键词： Electromyography ESP8266 NodeMCU Parkinson wireless remote monitoring system Parkinson Disease Electromyogram monitoring systems Activity Detection Resting Tremor experimental test Web search engines clinic maladjustment Arm spiral arm

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Medical device usability: literature review, current status, and challenges

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Research on biomedical engineering 2020年第2期36卷 163-170页

作者： Roma, Marylene Sousa Guimarães de Vilhena Garcia, Euler Biomedical Equipment Associate Course Coordination Federal Institute of Brasilia at Ceilândia QNN 26 Área Especial CeilândiaDF Brazil Biomedical Engineering Graduate Program University of Brasilia at Gama Área Especial de Indústria Projeção A – Setor Leste GamaDF Brazil

Purpose: User involvement during medical device (MD) development and usability engineering techniques may help reduce serious adverse events due to human error during MD use. This paper reviews the scientific literature on MD usability and critically analyzes the MD design and development (MDDD) process. Literature review: We searched 20 international databases for papers on usability and MDs. After applying exclusion criteria and removing duplicates, we analyzed 144 scientific papers regarding usability aspects and evaluated the target audience and study scope. Among hardware (HW), software (SW), and process (PR) evaluation methods, HW was the most evaluated (49% of papers), while the remainder analyzed HW + SW (15.2%), HW + PR (4.2%), and HW + SW + PR (0.7%). Task analysis, scenario simulation, and questionnaires were the most commonly used techniques (31.6%, 18.4%, and 12.8%, respectively). The target audiences were primarily patients/lay users (62%) and medical staff (14%). Gastroenterology (16.7%), nuclear medicine (13%), and nephrology/urology (9.3%) were the most referred specialties. We found that 48% of all papers did not mention any health facility or service analyzed, while 25.3% analyzed homecare services. Considering the usability scope, product evaluation (32%) and verification or validation trials (29%) were the most common. Usability in MDDD: We present a brief review of the MDDD scenario and argue that better selection of usability methodologies in MDDD should be based around three factors: application of current technical standards on usability, usage of health technology assessment literature, consideration of ethics-related specificities of MD design. © 2020, Sociedade Brasileira de Engenharia Biomedica.

关键词： Usability engineering

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Design of Electrical Impedance Tomography (EIT) for Medical Imaging Application 6

Design of Electrical Impedance Tomography (EIT) for Medical ...

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6th IEEE International Conference on Smart Instrumentation, Measurement and Application, ICSIMA 2019

作者： Wicaksono, Arbariyanto Mahmud Basari Faculty of Engineering Universitas Indonesia Biomedical Engineering Course Program Department of Electrical Engineering Indonesia Research Center for Biomedical Engineering Universitas Indonesia Kampus UI Depok West-Java16424 Indonesia

ISBN: (纸本)9781728139524

The rise of imaging in medical field has boost the progress of new imaging method and modality that safer, cheaper, and faster. Electrical Impedance Tomography (EIT) is one of imaging modalities that provides safe medical imaging through non ionizing method. The downside of the EIT method is the complex algorithm needed to produce imaging result and low resolution. This study is aimed to provide a simple EIT imaging system that are easily used and developed. The proposed system designed in this study is a MatlabTM and Arduino based imaging system, which are then tested under several observation object scenario. The imaging results that are produced by the system are able to represent the varying observational objects structure. Impedance measurement method that is implemented in the proposed system is a two-point technique using 8 electrodes and 16 electrodes with a frequency of 50 kHz. The main observation object of this system is an acrylic cup filled with tap water that has a TDS (Total Dissolved Solids) of 300 ppm. The proposed EIT imaging system is considered as a simple construction that is able to recognize two different objects according to its different impedance values. © 2019 IEEE.

关键词： Imaging systems

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Design of Electrical Impedance Tomography (EIT) for Medical Imaging Application

Design of Electrical Impedance Tomography (EIT) for Medical ...

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IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

作者： Arbariyanto Mahmud Wicaksono Basari Biomedical Engineering Course Program Faculty of Engineering Universitas Indonesia

ISBN: (数字)9781728139524

ISBN: (纸本)9781728139531

The rise of imaging in medical field has boost the progress of new imaging method and modality that safer, cheaper, and faster. Electrical Impedance Tomography (EIT) is one of imaging modalities that provides safe medical imaging through non ionizing method. The downside of the EIT method is the complex algorithm needed to produce imaging result and low resolution. This study is aimed to provide a simple EIT imaging system that are easily used and developed. The proposed system designed in this study is a Matlab TM and Arduino based imaging system, which are then tested under several observation object scenario. The imaging results that are produced by the system are able to represent the varying observational objects structure. Impedance measurement method that is implemented in the proposed system is a two-point technique using 8 electrodes and 16 electrodes with a frequency of 50 kHz. The main observation object of this system is an acrylic cup filled with tap water that has a TDS (Total Dissolved Solids) of 300 ppm. The proposed EIT imaging system is considered as a simple construction that is able to recognize two different objects according to its different impedance values.

关键词： Tomography Impedance Impedance measurement Electrodes Matlab biomedical imaging

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Design of Respiratory Rate Measurement Based on Ultrasound Proximity Sensor

Design of Respiratory Rate Measurement Based on Ultrasound P...

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IEEE Region 10 Humanitarian Technology Conference (R10-HTC)

作者： Ismoyo Danurwindo Basari Biomedical Engineering Course Program Faculty of Engineering Universitas Indonesia Research Center for Biomedical Engineering Universitas Indonesia Kampus UI Depok West Java Indonesia

ISBN: (数字)9781728108346

ISBN: (纸本)9781728108353

The respiratory rate is one of the five vital signs in human body. The measurement that is most often done is by counting the amount of breath a person does in one minute. This method is considered to be subjective in which each outcome measurement will depend on the counter. Other methods that can be used are by using contact methods, such as strain gauges or impedance methods, transcutaneous CO 2 methods, probe oximetry (SpO 2 ) methods, and ECG derived respiration rate methods. However, the use of contact methods can cause several problems, such as skin irritation, and surface loading effect. Therefore, in this paper a respiratory rate measurement based on ultrasound proximity sensor is proposed. Measurements are made by calculating the distance change between the front of thoracoabdominal area and the sensor. The results are then processed by peak detection using the Gaussian filter and discrete wavelet transform (DWT). According to the data processing results, the measurement gets the smallest deviation for each error about 3.79 with discrete wavelet transform (DWT) and fast Fourier transform (FFT) calculation approach.

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Evaluation on Compressive Sensing-based Image Reconstruction Method for Microwave Imaging

Evaluation on Compressive Sensing-based Image Reconstruction...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Basari Syahrul Ramdani Research Center for Biomedical Engineering Universitas Indonesia Kampus UI Depok West Java Indonesia Biomedical Engineering Course Program Faculty of Engineering Universitas Indonesia Indonesia

ISBN: (数字)9781728134031

ISBN: (纸本)9781728134048

Microwave Imaging offers safe, low-cost, and portable method for medical imaging applications. These advantages make the microwave imaging convenient for early detection of tumor or cancer. The transmission method is one of the methods in microwave imaging which provides fast measurement and simple image reconstruction. However, this method requires a great number of measurements to obtain a well-reconstructed image. In order to reduce the number of measurements, this research proposes a Compressive Sensing (CS) approach for image reconstruction on microwave imaging. Compressive Sensing allows reconstruction of a signal with fewer measurements than the conventional approach. In this research, the scanning process is conducted on Computer Simulation Technology (CST) Microwave Studio software. Two dipole antennas with 3 GHz frequency are utilized as microwave transmitter and receiver. A two-layer cube phantom acts as the scanned object. Each layer has different relative permittivity which illustrates the healthy cell and abnormal cell. To meet the framework of Compressive Sensing, a weighted matrix of Discrete Radon Transform (DRT) is created as a projection matrix which delineates the data acquisition scheme in the scanning process. Discrete Cosine Transform (DCT) is selected as sparse dictionary matrix to represent the sparse basis while Basis Pursuit is selected as sparse reconstruction algorithm to reconstruct the sparse signal from measurement data. The measured S 21 data are successfully reconstructed into an image using the Compressive Sensing approach. The reconstructed image is analyzed both qualitatively and quantitatively using image quality parameters such as Structural Similarity Index (SSIM) and Mean Squared Error (MSE).

关键词： Image reconstruction Microwave imaging Microwave photonics Microwave measurement Microwave antennas

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Tuberculosis detection analysis using texture features on CXRs images

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AIP Conference Proceedings 2019年第1期2092卷

作者： Badarudin Hakim Basari 1Biomedical Engineering Course Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java Indonesia 16424 2Research Center for Biomedical Engineering Universitas Indonesia Depok 16424 West-Java Indonesia

Tuberculosis (TB) is one of the most common diseases in developing countries such as Indonesia. TB disease oftenly attacks the human lungs due to its high oxygen pressure. The basic characteristics of TB-infected lungs are in the form of wounds, which change its texture and shape. The common detection method is by comparing the X-ray thoracic image with the tuberculin skin test (TST) and fast acid staining methods. This diagnosis method is often constrained by the availability of radiologists in the health facilities. To overcome such situation, a computer-aided diagnosis (CAD) tool is required to assist the doctor read the X-ray images easily. In this paper, a complementary detection method is proposed by using a chest X-ray (CXR) image to assist the diagnosis process. In current method, the image is segmented to reduce unnecessary parts prior to preprocessing step. We use a texture-based feature approach for detection purpose because most of the common examination methods for abnormality detection on CXRs is by analyzing the change of textural (content) CXR. In our texture approach, we use texture-based statistical properties on the histogram’s intensity. Some features that are used in this approach including Mean, Standard Deviation, Smoothness, Entropy, Root Mean Square (RMS), Variance, Kurtosis, Skewness, and Inverse Difference Moment (IDM). As a result of simulation, it indicates that CXR images can be well segmented to localize the focus area, allowing to the features can be extracted from the CXR image for further detection process. The obtained accuracy is about 93.94% and 92.86%, respectively for Shenzhen-Chest X-ray dataset and Montgomery County-Chest X-ray dataset.

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Evaluation on requirements of nuclear medicine facility building

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AIP Conference Proceedings 2019年第1期2180卷

作者： Anita Nur Mayani Basari 1Biomedical Engineering Course Program Departement of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Nuclear medicine is one of medical fields that uses ionizing radiation sources for therapeutic and diagnostic imaging for cancer. The number of nuclear medicine services in Indonesia is 17 hospitals, which only 10 is active in conducting nuclear medicine services because it doesn’t meet the requirements. Regulations about the standards of nuclear medicine services Indonesia are regulated by KMK number 008/MENKES/SK/I/2009 but it have not yet been discussed the requirements in details for building design and layout design as reference. For this reason, the author did study about the requirements of a nuclear medical service facility referring to KMK number 008/MENKES/SK/I/2009 and the International Health Facility Guidelines to create layout design of nuclear medicine facility. This study is done by comparing national and international regulation for planning criteria and construct layout design of nuclear medicine facility as recommendation to accomplish the regulations in Ministry of Health decree, Republic of Indonesia number 008/MENKES/SK/I/2009 regarding nuclear medical requirements.

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FinnGen provides genetic insights from a well-phenotyped isolated population (vol 613, pg 508, 2023)

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NATURE 2023年第7952期615卷 E19-E19页

作者： Kurki, Mitja I. Karjalainen, Juha Palta, Priit Sipila, Timo P. Kristiansson, Kati Donner, Kati M. Reeve, Mary P. Laivuori, Hannele Aavikko, Mervi Kaunisto, Mari A. Loukola, Anu Lahtela, Elisa Mattsson, Hannele Laiho, Paivi Parolo, Pietro Della Briotta Lehisto, Arto A. Kanai, Masahiro Mars, Nina Ramo, Joel Kiiskinen, Tuomo Heyne, Henrike O. Veerapen, Kumar Rueger, Sina Lemmela, Susanna Zhou, Wei Ruotsalainen, Sanni Parn, Kalle Hiekkalinna, Tero Koskelainen, Sami Paajanen, Teemu Llorens, Vincent Gracia-Tabuenca, Javier Siirtola, Harri Reis, Kadri Elnahas, Abdelrahman G. Sun, Benjamin Foley, Christopher N. Aalto-Setala, Katriina Alasoo, Kaur Arvas, Mikko Auro, Kirsi Biswas, Shameek Bizaki-Vallaskangas, Argyro Carpen, Olli Chen, Chia-Yen Dada, Oluwaseun A. Ding, Zhihao Ehm, Margaret G. Eklund, Kari Farkkila, Martti Finucane, Hilary Ganna, Andrea Ghazal, Awaisa Graham, Robert R. Green, Eric M. Hakanen, Antti Hautalahti, Marco Hedman, Asa K. Hiltunen, Mikko Hinttala, Reetta Hovatta, Iiris Hu, Xinli Huertas-Vazquez, Adriana Huilaja, Laura Hunkapiller, Julie Jacob, Howard Jensen, Jan-Nygaard Joensuu, Heikki John, Sally Julkunen, Valtteri Jung, Marc Junttila, Juhani Kaarniranta, Kai Kahonen, Mika Kajanne, Risto Kallio, Lila Kalviainen, Reetta Kaprio, Jaakko Kerimov, Nurlan Kettunen, Johannes Kilpelainen, Elina Kilpi, Terhi Klinger, Katherine Kosma, Veli-Matti Kuopio, Teijo Kurra, Venla Laisk, Triin Laukkanen, Jari Lawless, Nathan Liu, Aoxing Longerich, Simonne Magi, Reedik Makela, Johanna Makitie, Antti Malarstig, Anders Mannermaa, Arto Maranville, Joseph Matakidou, Athena Meretoja, Tuomo Mozaffari, Sahar V. Niemi, Mari E. K. Niemi, Marianna Niiranen, Teemu O'Donnell, Christopher J. Obeidat, Ma'En Okafo, George Ollila, Hanna M. Palomaki, Antti Palotie, Tuula Partanen, Jukka Paul, Dirk S. Pelkonen, Margit Pendergrass, Rion K. Petrovski, Slave Pitkaranta, Anne Platt, Adam Pulford, David Punkka, Eero Pussinen, Pirkko Raghavan, Neha Rahimov, Fedik Rajpal, Deepak Renaud, Nicole A. Riley-Gillis, Bridget Rodosthenous, Rodostheni Institute for Molecular Medicine Finland (FIMM) Helsinki Institute of Life Science (HiLIFE) University of Helsinki Helsinki Finland Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Stanley Center for Psychiatric Research Broad Institute of Harvard and MIT Cambridge MA USA Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Estonian Genome Centre Institute of Genomics University of Tartu Tartu Estonia Medical and Clinical Genetics University of Helsinki and Helsinki University Hospital Helsinki Finland Department of Obstetrics and Gynecology Tampere University Hospital Tampere Finland Faculty of Medicine and Health Technology Center for Child Adolescent and Maternal Health University of Tampere Tampere Finland Department of Biomedical Informatics Harvard Medical School Boston MA USA Digital Health Center Hasso Plattner Institute for Digital Engineering University of Potsdam Potsdam Potsdam Germany Hasso Plattner Institute for Digital Health at Mount Sinai Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York NY USA Finnish Institute for Health and Welfare (THL) Helsinki Finland Department of Public Health University of Helsinki Helsinki Finland Anesthesia Critical Care and Pain Medicine Massachusetts General Hospital Boston MA USA Abdominal Center Endocrinology Helsinki University Hospital Helsinki Finland Folkhalsan Research Center Helsinki Finland Research Program of Clinical and Molecular Metabolism University of Helsinki Helsinki Finland Biocenter Oulu University of Oulu Oulu Finland Computational Medicine Center for Life Course Health Research Faculty of Medicine University of Oulu Oulu Finland Turku University Hospital and University of Turku Turku Finland University of Turku Turku Finland Helsinki Biobank University of Helsinki and Hospital District of Helsinki and Uusimaa Helsinki Finland TAUCHI Research Center

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