The 5th 2012 Biomedical Engineering International Conference最新文献

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Very short term measurement of root growth with magnified time-lapse image capture system 利用放大延时图像捕捉系统对根系生长进行极短期测量
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465484
T. Hotta, T. Takahashi, S. Suzuki
{"title":"Very short term measurement of root growth with magnified time-lapse image capture system","authors":"T. Hotta, T. Takahashi, S. Suzuki","doi":"10.1109/BMEICON.2012.6465484","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465484","url":null,"abstract":"To date, various kinds of electric responses of animal have been reported. Galvanotaxis of paramecium and electric stimulation of neuron or muscle of vertebrate are well studied. On the contrary, there are few reports on the responses of plant to electric stimulation. R.sativus and E.camaldulensis are among them. In our previous study, root growth of Eucalyptus seedling seems to enhanced by 20% in 50Hz a.c. electric field of around 50 V/m range. However, standard deviation of the data was so large that reliability about electric root growth enhancement was difficult to demonstrate clearly. To make a precise measurement, averaging in a ensemble is needed. However, effect of individual difference is inevitable in the experiment. In this study, we developed a magnified time-lapse image capture system to measure the root growth in a short period of time. This system enables growth measurement in very short time compared with some days long. We investigated the resolution and the accuracy of the system rapid growth measurement. The maximum resolution of the system was less than 4μm. The root length of the R.sativus, whose growth enhancement in electric field was well established, was mesured. From the result of 2 hour measurement, root growth measurement with 10% standard deviation in 5 minutes was demonstrated. This figure means the new system enables over 800 fold faster measurement with better accuracy.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125789199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resolution improvements in ultrasound elastography using dynamic focusing 利用动态聚焦提高超声弹性成像的分辨率
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465512
D. Lertsilp, S. Umchid, U. Techavipoo, P. Thajchayapong
{"title":"Resolution improvements in ultrasound elastography using dynamic focusing","authors":"D. Lertsilp, S. Umchid, U. Techavipoo, P. Thajchayapong","doi":"10.1109/BMEICON.2012.6465512","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465512","url":null,"abstract":"During the past decade, signals from conventional focusing schemes with one or a few focal depths have been used in ultrasound elastography. Echo signals from transducer elements have been delayed and summed coherently only at the focus depths, therefore, elastograms reconstructed from these signals could have limited resolution at the area far away from the focal depths. In this work, dynamic focusing has been used to beamform the echo signals before elastographic reconstruction. The axial and lateral resolution of the elastograms were observed and compared to those reconstructed from the conventional focusing scheme with one focal point. Phantoms with two small hard inclusions at different depths were simulated using finite element method and the echo signals were simulated from these phantoms. The results show that the axial and lateral resolutions of the elastograms were improved after using dynamic focusing scheme.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128214325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Removal of blink from EEG by Empirical Mode Decomposition (EMD) 基于经验模态分解(EMD)的脑电瞬态去除
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465451
M. Shahbakhti, V. Khalili, G. Kamaee
{"title":"Removal of blink from EEG by Empirical Mode Decomposition (EMD)","authors":"M. Shahbakhti, V. Khalili, G. Kamaee","doi":"10.1109/BMEICON.2012.6465451","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465451","url":null,"abstract":"The electroencephalographic signals (EEG) are rather weak and contaminated with different artifacts that have biological and external sources. Among these artifacts, blinks and eye movements are the most common of them. In this paper, we introduce a new method, Empirical Mode Decomposition (EMD), for removal of blink contamination from EEG signal. The proposed method is compared to a fourth order Butterworth high-pass filtering with cutoff frequency at 2 Hz. The performance index of our experiment is mean square error (MSE) between bands of pure EEG and corrected EEG. Results obtained from the analysis of contaminated EEG signal show that EMD method outperforms the high pass filtering for elimination of blink contamination from EEG. However, EMD could not be applied on-line.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128948618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 32
Wireless intelligent fall detection and movement classification using fuzzy logic 基于模糊逻辑的无线智能跌倒检测与运动分类
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465472
W. Putchana, S. Chivapreecha, T. Limpiti
{"title":"Wireless intelligent fall detection and movement classification using fuzzy logic","authors":"W. Putchana, S. Chivapreecha, T. Limpiti","doi":"10.1109/BMEICON.2012.6465472","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465472","url":null,"abstract":"Global population aging leads to increased interests in preventive healthcare technology. As falls are the most common cause of injury or death in old persons, fall detection and movement classification is one of the key topics in this research area. In this paper we propose a simple wireless intelligent system prototype for fall detection and movement classification for real-time monitoring of the elderly. The portable sensor unit acquires data from a triaxial accelerometer and sends the data wirelessly to a computer using Zigbee technology. Alternative to classic methods, the movement data is analyzed using a fuzzy inference system. The system is designed to distinguish between four movement types: standing, sitting, forward fall, and backward fall. Its classification accuracy is investigated using experimental data. It is observed that the system performs well with high sensitivity and excellent specificity. Additionally, the system is applicable for monitoring rehabilitative patients and is extendable to a larger class of movements and postures.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127920116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Constitution and phase analysis of alpha waves α波的组成与相位分析
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465482
Y. Ishikawa, M. Takata, K. Joe
{"title":"Constitution and phase analysis of alpha waves","authors":"Y. Ishikawa, M. Takata, K. Joe","doi":"10.1109/BMEICON.2012.6465482","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465482","url":null,"abstract":"Alpha waves are electroencephalogram discovered by Hans Berger in 1929 and have been studied by many researchers. Recently the amplitude and the phase of alpha waves attract attention, and various studies are reported. So far the alpha waves are not concretely modeled to explain how they are constituted. In this paper, we analyze the phase of alpha waves for their future modeling. As pre-processing, we extract alpha wave data from EEGs and divide the data into alpha wave constituent waves. Analyzing the feature quantity of the alpha wave constituent waves, it turns out that the amplitude and the wavelength of alpha wave constituent waves are correlated with a constant time delay.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131727671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
SPECTRON: Streaming processor specific for adaptronic and biomeditronic applications SPECTRON:专用于自适应电子和生物电子应用的流处理器
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465416
Faizal Arya Samman, P. Surapong
{"title":"SPECTRON: Streaming processor specific for adaptronic and biomeditronic applications","authors":"Faizal Arya Samman, P. Surapong","doi":"10.1109/BMEICON.2012.6465416","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465416","url":null,"abstract":"This paper presents a streaming processor specifically designed for adaptronic and biomedical engineering applications. The main characteristics of the streaming processor are the flexibility to implement floating-point-based scientific computations commonly performed in the digital signal processing application. The floating-point operators are connected to dual-port memories through separated 3 operand-buses and 2 resultant-buses. Synthesized with 130-nm technology, the Spectron can be clocked at 480 MHz. The processor can perform 4 parallel streaming/pipeline floating-point operations using its FPMAC and CORDIC cores, resulting in a performance of about 4×485 = 1.94 GFlops (Giga Floating-point operation per second), which is suitable for high performance image processing in biomedical electronic engineering applications.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125371997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
ERP and time frequency analysis of response to subject's own name 受试者对自己名字反应的ERP和时频分析
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465434
K. Tamura, C. Karube, T. Mizuba, K. Iramina
{"title":"ERP and time frequency analysis of response to subject's own name","authors":"K. Tamura, C. Karube, T. Mizuba, K. Iramina","doi":"10.1109/BMEICON.2012.6465434","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465434","url":null,"abstract":"Hearing one's own name plays an important roll in external communications and internal cognition within our minds. Though hearing one's own name well has been studied, the relationship between hearing one's own name and self-awareness is not understood. In this study, we focused on brain responses to hearing one's own name. In order to assess the pattern of ERP and the power of EEG frequency during hearing one's own name, we used a passive oddball paradigm that included the subject's own name (SON). The grand average ERP showed that mismatch negativity and novelty p300 were elicited by SON. Time frequency analysis revealed that theta power and beta power were increased around 400-600 ms after stimulus by SON.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"14 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113960297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
EMG classification using the second order volterra series 用二阶伏特拉级数进行肌电分类
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465493
P. Pongpanitanont, W. Charoensuk
{"title":"EMG classification using the second order volterra series","authors":"P. Pongpanitanont, W. Charoensuk","doi":"10.1109/BMEICON.2012.6465493","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465493","url":null,"abstract":"This paper studies about electromyography (EMG) classification. The application of EMG classifier is used for prosthetic control. A Volterra series was propose in this works, we used 2nd order series for processing EMG signal. This work had compared between filtered EMG and 2nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2nd Volterra EMG has more accuracy than filtered EMG. The future works is to develop the Volterra-Neural networks (V-NN) model for EMG classifier.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132658776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Robotic 3D position control of therapeutic ultrasonic field by ultrasound image information 基于超声图像信息的治疗超声场机器人三维位置控制
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465459
S. Irisawa, S. Onogi, K. Masuda
{"title":"Robotic 3D position control of therapeutic ultrasonic field by ultrasound image information","authors":"S. Irisawa, S. Onogi, K. Masuda","doi":"10.1109/BMEICON.2012.6465459","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465459","url":null,"abstract":"Ultrasound is widely applied to clinical purpose of not only diagnosis but also therapy. Also, ultrasound has a potential to be applied for targeted drug delivery with microbubble as a carrier in blood vessel. These techniques require accurate position control of therapeutic ultrasound field based on ultrasound image information. Therefore, we propose a robotic system to control a position of an ultrasound transducer for therapy based on ultrasound image information. The system consists of an imaging probe, a robot with the therapeutic transducer, an optical tracking device to integrate the coordinates and positioning software. The system enables the transducer follows to an imaging probe based on a therapeutic plan. In this study, positioning and following control accuracies were evaluated. The results demonstrate the system has a potential for targeting the transducer based on intra-operative planning.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Development of the ultrasound power meter for therapeutic applications 治疗用超声功率计的研制
The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI: 10.1109/BMEICON.2012.6465511
S. Umchid, K. Prasanpanich
{"title":"Development of the ultrasound power meter for therapeutic applications","authors":"S. Umchid, K. Prasanpanich","doi":"10.1109/BMEICON.2012.6465511","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465511","url":null,"abstract":"The total output power from a medical ultrasound transducer has to be measured due to various reasons but in general they are related to patient safety and assessment of performance. The objective of this work was to develop an ultrasound power meter to measure a total output power from therapeutic ultrasound devices. The implementation of this work utilizes a radiation force balance technique based on the method recommended in the International Electrotechnical Commission (IEC 61161). Ultrasound therapy unit and its transducer were used as an ultrasonic source. To verify the performance of the developed system, the ultrasonic power measurement results from our developed ultrasound power meter were compared with those from the commercial ultrasound power meter (UPM) at 5 nominal intensity values (0.5 W/cm2, 1 W/cm2, 1.5 W/cm2, 2 W/cm2, 3 W/cm2) with three frequencies, 0.86 MHz, 2 MHz and 3 MHz, and four different output pulse modes; continuous wave (100% duty cycle), 1:2 (50% duty cycle), 1:5 (20% duty cycle) and 1:10 (10% duty cycle). The results show that the developed system is currently able to determine the ultrasonic output power in the frequency range from about 1 MHz to 3 MHz, and in the power range from 100 mW to approximately 15 W. Current efforts are being made to focus on testing the performance of the developed ultrasound power meter by comparing the results from the developed system with those from the standard system at the National Institute of Metrology, Thailand (NIMT) and developing a three axis positioning system with computer control for the alignment of the ultrasonic transducer.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124252332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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