Mariantonietta Ivone, L. Lamberti, C. Pappalettere
{"title":"The Resonance Frequency: Effects of Low Intensity Ultrasound on Attached and Floating Cells Viability","authors":"Mariantonietta Ivone, L. Lamberti, C. Pappalettere","doi":"10.1145/3133793.3133809","DOIUrl":"https://doi.org/10.1145/3133793.3133809","url":null,"abstract":"Cancer cell morphological, geometric and mechanic characterization could be important in relationship to therapy modality used. The objective of this work was to analyze the correlation between cell size and low intensity ultrasound sonication frequency for attached and floating cells. MCF7 and U937 cells were stressed by ultrasound in a range between 400 kHz and 620 kHz at 10 Hz PRF (Pulse Repetition Frequency) for three minutes. Immediately after sonication, the vitality and the diameter were evaluated. Although sensitivity to frequency is more evident for attached cells, some effect can be clearly detected also for floating cells: it seems that each fixed frequency prefers to kill floating cell with a particular value of diameter, with a maximum value of killing rate. The results obtained in this research work support the frequency plays a significant role on cell treatment. This result could be interesting not only to explain the proven ultrasound selectivity but also to destroy cancer cells, preserving healthy cells.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114700804","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":"Identification of Sudden Cardiac Arrest (SCA) using Modified Wavelet Transform","authors":"Syed Hassaan Ahmed, N. Razzaq, T. Zaidi","doi":"10.1145/3133793.3133799","DOIUrl":"https://doi.org/10.1145/3133793.3133799","url":null,"abstract":"Electro Cardiogram (ECG) is used to measure and diagnose electrical activity of heart. R peak detection from ECG signal is our main goal. It is the basic mark for identification of different arrhythmias. In this paper, R wave extraction is performed by using Wavelet Transform for the identification of Sudden Cardiac Arrest (SCA). Sudden cardiac death (SCD) is a global health issue. Analysis revealed that millions of people all around the world die as the result of SCD. We need to purpose a suitable and accurate method for its identification. Modified Wavelet Transform method is used for the extraction of R peaks from ECG signal and then RR interval is extracted from ECG signal with the help of MATLAB software to identify SCA. Here a brief comparison is performed to identify SCA patient with Normal Patient. The MIT BIH database has been utilized for evaluating the algorithm.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126185108","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":"Double-Ring Marker Based 3D Pose Estimation for Rod-Shaped Object from a Single 2D Image","authors":"Pin-Hsun Chiu, D. Shen, Jia-Cyuan Syu","doi":"10.1145/3133793.3133808","DOIUrl":"https://doi.org/10.1145/3133793.3133808","url":null,"abstract":"In this paper, we propose like Double-Ring Marker based method which can estimate the 3D pose parameters of a Rod-shaped object such as MIS (Minimally Invasive Surgery) instrument using just a single 2D image. The core of the proposed method is a set of equations derived from the geometric relationship between the Double-Ring Markers on the rod and their projections onto the image plan through the camera's perspective transformation. Compared to existing MIS pose estimation methods, which normally require time consuming processes including depth estimation, instrument identification and position parameters estimation as the pre-processing, the proposed Double-Rings marker based algorithm is very accurate and efficient.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115196512","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}
Ran Dong, Huimin Lu, Hyoungseop Kim, T. Aoki, Yihong Zhao, You-Wei Zhao
{"title":"An Interactive Technique of Fast Vertebral Segmentation for Computed Tomography Images with Bone Metastasis","authors":"Ran Dong, Huimin Lu, Hyoungseop Kim, T. Aoki, Yihong Zhao, You-Wei Zhao","doi":"10.1145/3133793.3133795","DOIUrl":"https://doi.org/10.1145/3133793.3133795","url":null,"abstract":"Computer-aided diagnosis (CAD) system can assistant radiologists to diagnose bone metastasis, which not only reduces burden on workload but also improves diagnostic accuracy. As key step in CAD system, vertebral segmentation can directly affect diagnostic results. In order to obtain high accurate segmentation results, we propose a connected component Labeled Graph Cuts (LGC) algorithm. The proposed method is tested on 100 computed tomography (CT) slices. The assessed quantitatively of experimental results is compared with those by radiologist. The proposed method has a 96.72[%] of True Positive Rate (TPR), and 1.84[%] of False Positive Rate (FPR), which have better performance than conventional Graph Cuts algorithm, 90.07[%] of TPR and 2.32[%] of FPR.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122819661","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":"The Research and Development of Wireless Sensing Temperature Measuring System of Human Body","authors":"Jian Zheng, Zhiyi Chen, Zhongmin Pei","doi":"10.1145/3133793.3133794","DOIUrl":"https://doi.org/10.1145/3133793.3133794","url":null,"abstract":"For the current situation that there is too much aging population and the shortage of medical staffs, the research of wireless sensing temperature measuring system of human body is to meet the demand of social applications. It uses wireless network protocol which is developed independently, researches and develops the equipment that meet the temperature automatic monitoring of mobile group. It also researches the correction of temperature error. It automatically monitors the temperature of mobile group. Test data will be recorded in the database which will be used as a big data analysis of the condition of a person under guardianship and adjust the care plan in time. Wireless sensing temperature measuring system has simple structure, safe use, low cost, high social benefit. For a nursing home or medical institutions of medical staffs, it can reduce labor intensity, improve the work efficiency greatly and it has a certain practical value.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133392911","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":"Statistical Shape Model Generation Using Diffeomorphic Surface Registration","authors":"J. Wu, G. Li, H. Lu, H. Kim, P. Ogunbona","doi":"10.1145/3133793.3133796","DOIUrl":"https://doi.org/10.1145/3133793.3133796","url":null,"abstract":"Statistical shape modelling is an efficient and robust method for medical image segmentation in computer-aided diagnosis. The key step in building a statistical shape model is to find corresponding landmarks in each instance of a training set. In this paper, a novel landmark correspondence estimation method that uses edge collapse surface simplification and the sphere registration is proposed. All the landmarks are selected and transformed by spherical conformal mapping from the instances of the training set and the associated correspondence are automatically found on the spheres. We applied our method on 21 cases of 3-D right lung shapes. The results of image segmentation experiment indicate that our method has a positive influence on the accuracy of segmentation result.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125431459","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":"Identification of Myocardial Ischemic and Infarction Episodes Based on ST Level and Beat Type Re-attribution Method","authors":"Woan-Shiuan Chien, Sung-Nien Yu","doi":"10.1145/3133793.3133807","DOIUrl":"https://doi.org/10.1145/3133793.3133807","url":null,"abstract":"The objective of this study is to establish an efficient and effective recognition system for myocardial ischemic and myocardial infarction episodes in ECG. We first applied a preprocessing algorithm to reduce noise and baseline wander. Then, we simplified the procedures of identifying the important points and defined these points based only on heart rate and the R peak which is relatively unaffected by noise. Thirdly, an ST-deviations-based algorithm was used to identify both myocardial ischemic (MIs) and myocardial infarction (MIn) beats. Finally, a merging algorithm followed by correcting windowing was employed to re-evaluate the attribute of each beat for more accurately identify the beginning and end points of the episodes. The results show that, the proposed method raises the recognition rates from 87.53%, 85.12%, and 80.41%, in identifying MIs, MIn, and normal beats, respectively, to 94.63%, 91.56%, and 92.89%, respectively. The results demonstrate the efficiency and effectiveness of the proposed method in accurately identifying myocardial ischemic and infarction episodes.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122676039","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}
Wei-Min Liu, Chen-Lin Chen, Li-Yin Chang, S. Pong, Hsian-Min Chen
{"title":"Multimodal and Multispectral Imaging for Chronic Pressure Ulcer Assessment","authors":"Wei-Min Liu, Chen-Lin Chen, Li-Yin Chang, S. Pong, Hsian-Min Chen","doi":"10.1145/3133793.3133802","DOIUrl":"https://doi.org/10.1145/3133793.3133802","url":null,"abstract":"The wound care management is critical for patients with chronic ulcers, and many treatments have been proposed to facilitate the recovery. We propose to use four optical imaging technologies, polarizing visible light, 650nm red light, 940nm near infrared, and 8-12μm long wave thermal infrared imaging, to monitor the ulcer status. Detailed imaging setup is reported and the preliminary results show that several physiological features can be extracted via the multimodal imaging. More clinical data will be collected to establish sufficient statistics to determine the prognostic biomarkers. The goal of such imaging and feature extraction is to indicate whether an ulcer is developing, infected, or recovered before significantly visible change appears.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129154029","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":"Design of Smart Shopping Wall Using Hand Gesture and Facial Image Recognition","authors":"Jia-Hong Lee, Mei-Yi Wu, Che-Yu Liu, Yun-Hao Chuang","doi":"10.1145/3133793.3133803","DOIUrl":"https://doi.org/10.1145/3133793.3133803","url":null,"abstract":"Rapid technological progress has changed the way of people shopping. Online shopping allows consumers to directly buy products or services over the Internet using a web browser. In addition, mobile commerce makes the online sales transactions happen in anytime and everywhere using wireless electronic devices such as mobile phones or laptops. Mobile shopping in QR code virtual stores is a kind of special shopping experience. Using a camera phone with QR code reader installed, a customer can buy the items displayed on the media by flashing their camera phones on the items and the items would be delivered to them through credit card payment. Many QR code shopping walls were created in Mass Rapid Transit stations, malls or public places in big cities recently. In this study, we try to construct a smart shopping wall to enhance the fun in QR code shopping experiences. An integrated system was designed to allow customers controlling the showing page of product Ads on the electronic (TV) displays using skeleton-based hand gesture recognition. The system also can estimate the customer's gender and age via facial image recognition using deep learning algorithms. Microsoft Kinect depth sensor was applied in our system and it provided a good sensor to catch facial images and skeleton information for the purpose of recognition. Experimental results show that the gender and age classification can achieve high recognition accuracy. Finally, an experimental system is completed based on the proposed framework.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123802676","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}
G. Venkatesan, M. Pachiyaannan, S. Karthik, T. S. Ananth, J. Kirubakaran
{"title":"A Low Profile UWB Antenna for Wireless Body Area Network: Design and Analysis","authors":"G. Venkatesan, M. Pachiyaannan, S. Karthik, T. S. Ananth, J. Kirubakaran","doi":"10.1145/3133793.3133805","DOIUrl":"https://doi.org/10.1145/3133793.3133805","url":null,"abstract":"A low profile nature ultra wide-band (UWB) antenna for wireless body area network (WBAN) is presented in this research work. This antenna can effectively reduce a proximity effect of human body and tri-monopole structure is designed with regular rectangular pattern. The low cost FR-4 epoxy substrate material is constructed along with coaxial feeding achieves the UWB characteristics. This proposed structure produces a bandwidth from 3GHz to 10GHz, which is highly required for higher data transmission for WBAN application. The return loss and VSWR is achieved >-20dB and <2 for the resonant frequencies of 3.1GHz, 5.1GHz, 8GHz and 8.8GHz which is also satisfy the S/C/X band frequencies. This antenna shows that unidirectional radiation pattern with efficiency between 45 to 75% and produce moderate gain of overall bandwidth. These features are highly required and suitable for WBAN communication.","PeriodicalId":217183,"journal":{"name":"Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129353400","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}