{"title":"Examination of temporal characteristic of sleep EEG subbands based on the local min-max","authors":"S. Janjarasjitt","doi":"10.1109/BMEICON.2012.6465463","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465463","url":null,"abstract":"In this paper, the temporal characteristic of spectral subbands of sleep EEG associated with different sleep stages is examined using a simple computational analysis technique based on the local minima and maxima. The average range of local min-max Rλ defined as the average differences between amplitudes of consecutive local minima and maxima is used as a temporal characteristic measure. From the computational results, it is observed that the sleep EEG epochs associated with different sleep stages manifest distinguishable characteristics of the average range of local min-max Rλ for various subbands. The computational results also show that the lower frequency subbands of sleep EEG associated with various sleep stages exhibit opposite temporal characteristic (the average range of local min-max Rλ) compared to the higher frequency subbands of sleep EEG. Furthermore, this suggests that the average range of local min-max Rλ may be a useful feature for sleep stage classification.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"23 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":"115136710","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}
W. Tangsuksant, C. Aekmunkhongpaisal, P. Cambua, T. Charoenpong, Theerasak Chanwimalueang
{"title":"Directional eye movement detection system for virtual keyboard controller","authors":"W. Tangsuksant, C. Aekmunkhongpaisal, P. Cambua, T. Charoenpong, Theerasak Chanwimalueang","doi":"10.1109/BMEICON.2012.6465432","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465432","url":null,"abstract":"Several researches concerning electrooculography interface for Human Computer Interface (HCI) have been developed in recent years. For applications of disabled person such as lock-in, and Motor Neuron disease, a simple and effective technology for communication is necessary. Eye blink is defined as a selection command in existing research. Problem of current research is occurred when user blinks his eye involuntarily. To resolve this problem, in this paper, we develop a new electrooculography based system for typing words via virtual keyboard by using voltage threshold algorithm. EOG signal with different direction of eye movement in horizontal and vertical directions are detected. EOG signal is measured by two channels with six electrodes. Measurement circuit consists of three major processes: instrument amplifier, filter and signal conditioning amplifier processes. These circuits filter noise out, pass frequencies in ranges of EOG signal and then amplify the signal. The voltage threshold algorithm is then used to classify the EOG signal. Selection command is defined by closing eye in a short period of use to avoid eye blink involuntary. To test the performance of method, typing rate and accuracy are measured. Typing rate on virtual keyboard 25.94 seconds/letter and its accuracy is 95.2%. The results show the feasibility of proposed method.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"10 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":"121098756","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}
{"title":"Optimization of visual presentation of MRI image for accurate detection of tumor in human brain using virtual instrument","authors":"A. Lakshmi, P. Samata","doi":"10.1109/BMEICON.2012.6465428","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465428","url":null,"abstract":"Brain tumor is the uncharacteristic growth of cells inside the brain or the skull that can either be cancerous (malign) or non-cancerous (benign) [1]. A very important aspect in clinical practice is the early detection and classification of brain tumors. The value of advanced imaging platforms such as magnetic resonance imaging (MRI) for early detection of tumor remains unclear. The paper applies Lab VIEW software for detecting and locating early stage brain tumors from MRI data. Here we designed a system which enhances the MRI data and gives the exact location and the area of the tumor required for the diagnostic and analysis of tumor easily. The estimation time required to perform the inspection is also obtained from the performance meter.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"26 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":"127316348","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}
P. Suapang, M. Thongyoun, R. Boontawan, S. Chivaprecha
{"title":"A Mammography Database and Viewer System","authors":"P. Suapang, M. Thongyoun, R. Boontawan, S. Chivaprecha","doi":"10.1109/BMEICON.2012.6465502","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465502","url":null,"abstract":"A Mammography Database and Viewer System have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the digitized mammography images, and developed an image viewing system to display these digital mammograms. The images are stored with the high resolution Matrox Morphis (MOR/2VD/84*) frame grabber board. The digital mammography database is powered by MySQL and PHP. It also has a web-based search engine (with secure access) so that the information can be made accessible to all medical team members. The image viewing software, DICOM Viewer, is coded in Borland C++ Builder and is intended to help medical professionals view and retrieve large data sets in near real time. This have already digitized 200 cases (one case per patient, twenty to forty images per case). The system also have developed a MySQL-based image database, and a PHP-based web-search engine to retrieve cases that have masses (benign or malignant) or calcifications (benign or malignant). This database has been evaluated by medical professionals and the experimental results obtained so far are very promising (high image qualities, fast access time). The system are currently developing an image content-based retrieval function for the database system in order to provide improved search capability for the medical professionals.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"222 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":"122525347","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}
{"title":"Universal nonuniform sampling of ECG signals: Opportunities and obstacles","authors":"D. S. S. Reddy, R. R. Tamboli, S. Jana","doi":"10.1109/BMEICON.2012.6465510","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465510","url":null,"abstract":"Sampling of ECG signals has been studied for several decades. However, nonuniform sampling at low average rate has received much less attention. While uniform sampling rate needs to be at least twice the bandwidth of a signal (Nyquist rate), in theory, nonuniform sampling at sub-Nyquist rate should be adequate for faithful reconstruction if the signal is sufficiently sparse. Noting the known sparsity ECG signals, we attempt to demonstrate sub-Nyquist sampling of such signals. However, alongside this opportunity, reconstruction from nonuniform samples also poses a particular challenge. While uniform sampling admits universal (signal-independent) reconstruction (via sinc interpolation), reconstruction from nonuniform samples is generally data-dependent. In this paper, we make use of compressive sampling theory to demonstrate that nonuniform sampling does provide universal performance guarantee. In our experiments, we use ANSI/AAMI standard test ECG signals, and tune the orthogonal mathing pursuit algorithm for those to obtain superior performance. Our results potentially facilitates development of low-power ECG recording devices with potential application in remote locations without grid power.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"48 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":"116752401","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}
R. Starbird, W. Bauhofer, Mario A. Meza-Cuevas, W. Krautschneider
{"title":"Effect of experimental factors on the properties of PEDOT-NaPSS galvanostatically deposited from an aqueous micellar media for invasive electrodes","authors":"R. Starbird, W. Bauhofer, Mario A. Meza-Cuevas, W. Krautschneider","doi":"10.1109/BMEICON.2012.6465500","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465500","url":null,"abstract":"Poly(3,4-ethylenedioxythiophene) (PEDOT) coat for invasive electrodes has been generated considerable interest in terms of electrical properties and biocompatibility. Adequate formulations and methodology are necessary to deposit polymer reproducibly on macro and micro-electrodes. Electrochemical properties of PEDOT as interface material were assessed with respect to different experimental factors. PEDOT/NaPSS was polymerized from a sodium polystyrenesulfonate (NaPSS) dispersion. The dispersion was characterized by cyclic voltammetry and its critical micellar concentration (CMC) value is reported, according to our best knowledge, for the first time for PEDOT deposition. The polymer obtained was studied using Raman spectroscopy, impedance and cyclic voltammetry measurement. PEDOT-NaPSS coat shows high charge injection (Qinj), low interfacial impedance (Z) and superficial chemical stability (Raman). This study provides a simple, constant and reproducible framework to coat invasive electrodes.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"194 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":"114071258","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}
T. Kimura, H. Watanabe, M. Adachi, S. Kuriki, A. Ueno
{"title":"Performance evaluation of electroencephalograph with negative capacitance converter","authors":"T. Kimura, H. Watanabe, M. Adachi, S. Kuriki, A. Ueno","doi":"10.1109/BMEICON.2012.6465475","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465475","url":null,"abstract":"Spontaneous electroencephalogram (EEG) and evoked potentials measured from the scalp are considered to be attenuated by impedance of mediated biological tissues such as skull, biomembrane and cortex. Voltage loss at these tissues may deteriorate the measured signal. In this study, we explored a possibility that an electroencephalograph bearing enhanced input-impedance could detect more sensitively the short latency somatosensory-evoked potential (SEPs) and high frequency oscillations (HFOs) in SEPs. We introduced a negative capacitance converter (NCC) into the electroencephalograph at front end. We expected the NCC to reduce floating capacitance in shielded wires between electrode and the electroencephalograph, and consequently to enhance the input-impedance of the device especially in higher frequency region. SEPs and HFOs were measured in eight subjects with the proposed device and compared with those measured with a commercial electroencephalograph. 7 of 8 showed larger amplitude of SEPs when EEG measured with the proposed device, but only 4 out of 7 showed larger amplitude of HFOs.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"59 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":"121602068","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}
P. Pongpanitanont, W. Sittiprapaporn, W. Charoensuk
{"title":"Effect of musical tones in auditory perception analysis using nonlinear model","authors":"P. Pongpanitanont, W. Sittiprapaporn, W. Charoensuk","doi":"10.1109/BMEICON.2012.6465507","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465507","url":null,"abstract":"This paper studies the application of the non-linear model (ANN, ANFIS). ANN and ANFIS were used to fit a Blood-Oxygen Level Dependent (BOLD) signal with design architecture. A model proposes to define region of interest (ROI) in brain fMRI images. The result shows the ANFIS model can be represent to fit the BOLD data better than ANN. Three paradigms were stimulated at difference issue activation in specific parameter (activation time, duration and signal strength). In this case a higher frequency and amplitude paradigm has stimulated on the brain area activation faster and more frequently.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"28 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":"130479607","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}
{"title":"Tablet counting machine base on image processing","authors":"C. Phromlikhit, Fusak Cheevasuvit","doi":"10.1109/BMEICON.2012.6465508","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465508","url":null,"abstract":"This paper proposes Tablet counter machine base on image processing. A digital webcam creates an image of drug being dispensed. This image is displayed in standard RGB model. The original image will change to grayscale image. Then grayscale image will filtered for noise using a median filter and then using threshold we obtain a digital binary image of the pill being dispensed. The image is further processed using erosion and dilation. The actual number of drug in the image is determine by applying connected component labeling and centroid process. Our experiment used 6 mm. to 12 mm. samples with accurate results.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"5 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":"130869606","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}
{"title":"Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software","authors":"E. Boonchieng, K. Duangchaemkarn","doi":"10.1109/BMEICON.2012.6465497","DOIUrl":"https://doi.org/10.1109/BMEICON.2012.6465497","url":null,"abstract":"To assess the iron overload in human tissue especially in the heart of transfusion-dependent thalassemia patients using cardiac magnetic resonance imaging (CMRI) technique has been widely used to evaluate cardiac iron deposition because of its non-invasive procedure. The iron measure from this technique is represent as T2* (T2 Star) value. Cardiac T2* software was developed. The software was measuring T2* value from DICOM image with two algorithm processing components; regions of interest (ROI) identification, and T2* optimization. The software preliminary testing was performed using test cases DICOM image, three times repeating, from both healthy volunteer and thalassemia patient with cardiac iron overload, then compared T2* value with the reference tool (CMRtools with ThalassemiaTools plug-in). Mean T2* value analyzed from healthy volunteer CMRI was 22.36 (±0.94) and 37.10 (±1.62), respectively. While the mean T2* value analyzed from thalassemia patients CMRI was 15.52 (±0.85) and 18.67 (±1.15) in reference software and CMUT2Star software respectively. In conclusion, CMUT2Star produced a higher T2* value than the reference tool. Software has no any errors and no conflict with testing platform. The algorithm in T2* optimization component need to be adjusted in order to produce the accuracy and robust T2* value.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"17 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":"124098128","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}