检索结果-内蒙古大学图书馆

Thermal wave lock-in imaging of subsurface chromophores in biomaterials

AIP Conference Proceedings 2002年第1期615卷 1858-1865页

作者： Sergey A. Telenkov J. Stuart Nelson Thomas E. Milner 1Biomedical Engineering Program University of Texas at Austin Austin Texas 78712 2Beckman Laser Institute and Medical Clinic University of California Irvine California 92612

Thermal wave imaging of discrete chromophores in biomaterials is reported using a phase sensitive coherent detection technique applied to recorded infrared (IR) images. We demonstrate that utilization of a periodically modulated laser source for thermal wave excitation and coherent detection applied to each pixel maybe used to compute images of the thermal wave amplitude and phase at the laser modulation frequency. The narrow-band detection technique significantly improves quality of thermal wave amplitude images. Additionally, the technique provides phase information, which may be used to assess chromophore depth in tissue. We present a theoretical analysis and computer simulations of thermal wave imaging in biological specimens. Effect of tissue optical and thermal properties on radiometric signal is discussed. Experimental application of the technique is demonstrated using tissue phantoms and an in-vivo biological model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Human-computer-interface for controlling the assistive technology device

引用

AIP Conference Proceedings 2020年第1期2314卷

作者： Osmalina Nur Rahma Maydiana Nurul Kurniawati Akif Rahmatillah Khusnul Ain 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Airlangga University Indonesia

Imagining a motion without doing the actual movement is known as Motor imaginary (MI). However, translating MI as an input for BCI that control the Assistive Technology (AT) device was a challenging method due to the extensive training required, poor user engagement, and visual feedback response delays. For a person who has difficulties to imagine without visual stimulation, more training should be conducted. Even with a visual stimulus, sometimes a person still finds it hard to distinguish between one movement and another. So, finding a suitable input to control an AT device that suitable for someone who has extremely limited movement is very challenging. In the other hand, EEG signal had been proven sufficient in detecting facial expression. Even though the EEG signal contains EMG facial artifact and considered as an unwanted signal for BCI, facial movement artifact could become a compensator signal for EEG based Human Computer Interface (HCI) system to improve efficiency. This study aims to develop HCI systems to distinguish three different movements (forward, backward, and stop) EEG signals that recorded from EEG EMOTIV Epoc based on different facial expression. This HCI system could bring benefit if it is implemented for AT device, such as rollator since the user could easily distinguish different movement without any visual stimuli required so could reduce an extensive training before usage and could improve the quality of life people with limited extremity movement.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Application of gray level run length matrices features extraction for diabetic retinopathy detection based on artificial neural network

引用

AIP Conference Proceedings 2020年第1期2314卷

作者： Bestia Kumala Wardani Nathania Earlene Belinda Riries Rulaningtyas Endah Purwanti 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Diabetic Retinopathy (DR) is Diabetes Mellitus microvascular complication, which attacks the eyes and can cause blindness. The DR examination currently is done with the fundus photography technique. The image produced by the technique is studied by the ophthalmologist manually. This research aimed to develop a computer aided diagnosis in the DR detection system using Gray Level Run Length Matrices (GLRLM) features extraction and Artificial Neural Network. This DR detection was done by Gray Level Run Length Metrices (GLRLM) texture features extraction method. Five texture features used were: Short Run Emphasis (SRE), Long Run Emphasis (LRE), Gray Level Non-Uniformity (GLN), Run Length Non-Uniformity (RLN), and Run Perecentage (RP). The five features were used as Backpropagation Artificial Neural Network input. The parameters are varied in the Backpropagation Artificial Neural Network training phase. The data used in this research were 110 retinal fundus images consists of 20 normal retinal fundus images, 45 NPDR retinal fundus images, and 45 PDR retinal fundus images. The highest accuracy result gained in the training phase is 97.14% and testing phase is 92.5%. This detection program produces a sensitivity value of 93.33% and a specificity value of 90%, therefore, it can be used as an initial indicator to detect DR.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Tuberculosis detection analysis using texture features on CXRs images

引用

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.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Filter design on EMG multichannel based python programmer

引用

AIP Conference Proceedings 2020年第1期2314卷

作者： Prihartini Widiyanti Aji Sapta Pramulen Akif Rahmatillah 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Currently, EMG devices are used as recording and monitor device for muscle activity. However, the existing tools use licensed software that result in limited features provided. In addition, the inability of the tools to be able to record simultaneous movements involving several muscles at the same time is another problem regarding the design of EMG device systems. This research is done to design a multichannel EMG filter using python programming. Therefore, the design of this device consists of hardware in the form of instrumentation amplifier circuit, NI DAQ USB 6009 as data acquisition, and software part consisting of signal processing (filtering, rectifying, smoothing) and signal interface on Personal Computer (PC) using Python 2.7. The device testing is done in 2 ways, that is finance and tools from EMG itself. The instrumentation test got the strengthening value 15,241 times with linearity of 0.941. In addition, Butterworth IIR filter response is obtained according to the design of the cut off frequency of 15-450 Hz and 50 Hz. Performance testing of prototype EMG devices is done with compare of standard EMG and recording is done on normal male. Qualitatively the recording signal features using EMG of research with simultaneous movements identical to the recording signal features using standard EMG. The analysis of the results uses this type of qualitative analysis which sees how the similarity of the frequency range on the FFT of EMG research results with standard EMG in hospitals. The results obtained are the same frequency range at 15 – 450 Hz.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Elbow angle estimation for medical rehabilitation device based on EMG sensor with ARIMAX method

引用

AIP Conference Proceedings 2022年第1期2663卷

作者： Amelia Lita I. Made Mas Dwiyana Prasetya Wibawa Alinda Anggraini Akif Rahmatillah Riries Rulaningtyas Alfian Pramudita Putra Khusnul Ain 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia

In the development of medical rehabilitation tools, muscle signals or electromyographic (EMG) are often used as feedback from the body in order to facilitate normal movement patterns. Through this signal, the force, torque, and angle can be estimated to produce the desired movement in the robot to assist patients in rehabilitation therapy. There had been various research done on estimating the extremities' joint angle, including the system identification method with Auto-Regressive Integrated Moving Average with Exogenous Input (ARIMAX) model structure. This research aims to model biceps brachii's EMG signal and the elbow joint angle using the ARIMAX model structure. In modeling, the order of the model was selected using the methods of minimizing the AIC (Akaike Information Criteria) and RMSE (Root Mean Square Error) values. The reported results showed the comparison of the outcome and model orders from three data sets with a frequency sampling of 47.6690 Hz, l66.3248 Hz, and 935.6743 Hz, respectively. The frequency sampling of l66.3248 Hz results showed the best accuracy performance of the ARIMAX model structure. The model order which is selected based on the minimization of the RMSE value obtained the best estimate, while the order models were selected based on the minimization of the AIC value showed a more consistent performance on the data estimation and validation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dental composite resin: A review

引用

AIP Conference Proceedings 2019年第1期2193卷

作者： Yori Rachmia Riva Siti Fauziyah Rahman 1Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Composite resin is one of dental material restoration that used in every dental office nowadays. Dental amalgam restoration had several problems in aesthetic and biocompatibility in oral cavity. To overcome the problem, dental composite resin which has great aesthetic, biocompatibility, physical, and mechanical properties has been developed. Composite resins are filled resin and have high compressive strength, abrasion resistance, ease of application, and high translucency. The objective of this review article is to review about dental composite resin including the composition, polymerization process, classification, and physical properties (water sorption, solubility, and polymerization shrinkage) of dental composite resin. Literature relating to dental composite resin and measurement of several physical properties, research methodologies, and contributing factors are selected and reviewed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluation on requirements of nuclear medicine facility building

引用

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.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimized circuit and control for prosthetic arm based on myoelectric pattern recognition via power spectral density analysis

引用

AIP Conference Proceedings 2019年第1期2092卷

作者： Geri Paksi Dirgantara Basari 1Biomedical Engineering Course 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

Myoelectric pattern recognition has shown promise in the control of the prosthetic arm. But interfering noise and motion artifacts have hindered this kind of method to be used outside a controlled environment. This paper has designed an optimized circuit to process the Electromyography (EMG) signal. EMG signal is acquired from surface skin using sEMG (Surface Electromyography) electrode. EMG can be defined as an electrical potential produced due to contraction of the muscle. EMG signal requires to the undergo process of amplification and noise reduction before it can be converted to digital signal by the analog-digital converter (ADC) and processed to drive the motors or actuators of the prosthetic arm. The proposed denoising algorithm will improve the signal to noise ratio in real life uses. But the improved signal to noise ratio is expected to be insignificant as machine learning algorithm integrate noise as part of the signal. However, the variation of noise in real life uses is expected to occur where the proposed algorithm would potentially have a positive impact and further enhance the feasibility of using prosthetic for daily life

关键词：

来源：评论

学校读者我要写书评

暂无评论

Simulation and computational analysis of fire sprinkle bulb activation with variation of liquid and wall thickness

引用

AIP Conference Proceedings 2020年第1期2314卷

作者： Alfian Pramudita Putra Erik Jan Westerman Akif Rahmatillah 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 2Department of Biomedical Engineering Faculty of Science and Engineering University of Groningen Groningen The Netherlands

Fire sprinkler is a safety system that is active when fire is detected. It consists of a bulb that holds the water flow and made of glass with liquid inside. The increase of temperature in its environment would expand the volume of the liquid and break the glass which leads to water spray to extinguish the fire. This study aims to model and simulate the fire sprinkler bulb and optimize several parameters related to its activation including the thickness of the bulb, type of liquid and the ratio of air and liquid inside the bulb. The modeling and simulation was performed in COMSOL Multiphysics with variation of wall thickness and liquid inside the bulb. The result showed that the best parameter was the liquid of glycerol, a height of 17.5 mm and a glass thickness of 0.1 mm, this resulted in the air to liquid ratio of 0.0042428 and breaking time of 7.2400s. This result was the fastest breaking time towards several simulations. For future study, several parameters need to be considered in the simulation to minimize the gap between the simulation and the actual condition, such as room condition, and water pressure.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：