{"title":"A 120pW 50Hz notch filter for low-frequency physiological acquisition","authors":"Haixi Li, Jinyong Zhang, Lei Wang","doi":"10.1109/ISBB.2011.6107642","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107642","url":null,"abstract":"A CMOS OTA-C notch filter for 50Hz interference was presented in this paper. The OTAs were working in weak inversion region in order to achieve ultra low transconductance and power consumptions. The circuits were designed using SMIC mixed-signal 0.18nm 1P6M process. The post-annotated simulation indicated that an attenuation of 47.2dB for power line interference and a 120pW consumption. The design achieved a dynamic range of 75.8dB and a THD of 0.1%, whilst the input signal was a 1 Hz 20mVpp sine wave.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127455522","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}
Zhiguo Zhou, Chengzhang Huang, Xing An, Yonggang Shi, Zhiwen Liu
{"title":"MATLAB/simulink and DSP based: Realization of a lymphocyte tracking system using model-driven development","authors":"Zhiguo Zhou, Chengzhang Huang, Xing An, Yonggang Shi, Zhiwen Liu","doi":"10.1109/ISBB.2011.6107679","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107679","url":null,"abstract":"Complexities and uncertainties is the main problem for software developers, while traditional design methods cannot solve this problem very well. However, Model-Driven Development can be a good solution to this problem. In this paper, a lymphocyte tracking system is realized based on MATLAB/Simulink and the TMS320DM642 platform using MDD; then the performance of the code that generated from the Simulink model is evaluated and optimized.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127183298","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 preliminary study on microarray automatic spot identification method","authors":"Liu Guo-chuan, Lu Lin, Sun Fujun","doi":"10.1109/ISBB.2011.6107677","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107677","url":null,"abstract":"Spot identification is of great importance in the process of microarray information analysis. In this paper, Based on the features of microarray image recognized, an automatic spot identification method using the deformable template technique is proposed. A deformable template model is constructed based on spot array. The shift, rotation and zoom of the template are denoted by several parameters. Energy function is defined and genetic algorithm is employed to search the optimal solution of the energy function, which results the best template match. Experiment results show that the method can match spots efficiently and accurately.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132495407","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}
Yanwei Guo, Wei-zhong Wang, Guan-Zheng Liu, Guo-ru Zhao, Bang-yu Huang, Z. Mei, Lei Wang
{"title":"Body inertial-sensing network platform for wearable 3D gesture analysis","authors":"Yanwei Guo, Wei-zhong Wang, Guan-Zheng Liu, Guo-ru Zhao, Bang-yu Huang, Z. Mei, Lei Wang","doi":"10.1109/ISBB.2011.6107696","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107696","url":null,"abstract":"Gesture analysis was widely used in many applications such as healthcare, robotics and human-computer interactions. This paper presented a low-cost body inertial-sensing network platform developed by us. The platform contains the base station, the BSN inertial measurement nodes and the wireless communication protocol. The sensing nodes contain one 3-axis accelerometer, one 3-axis magnetometer, and one 3-axis gyroscope. Wearable gesture analysis was achieved using this platform. Then Kalman filter was designed to get optimal gesture estimation from the BSN inertial measurement nodes. Preliminary results showed that the averaged estimating errors of the roll angle, the yaw angle and the pitch angle were 3.5°, 3.2°, 2.1°, respectively.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132242183","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 application of bioimpedance in the detection and evaluation of gastric motility for erosive gastritis patients","authors":"Cheng-zhang Wang, Yong Ren, Zhangyong Li, Likun Xu, Wei Wang, Zhiqiang Zhao, Xiaoyan Liang, Huiquan Zhang","doi":"10.1109/ISBB.2011.6107689","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107689","url":null,"abstract":"At present, extracted gastric motility features indices include impedance gastric motility (IGM) and EGG is an important way to understand erosive gastritis (EG). Methods: According the clinic standardization, 30 volunteers of erosive gastritis were selected. Both signals impedance gastric motility (IGM) and EGG collected from body surface are decomposed by Multi-resolution Analysis (MRA). the MRA can help us calculate the frequency of EGG and IGM signal power spectrum and dynamic spectrum, the rates of rhythm and power for the normal EGG and IGM and so on. Wavelet transform is addressed to separate the IGM signal from breathing and blood flowing impedance signals. Results: After a week of testing discovered patients with health adult (p <0.05) parameters are obvious difference. The volunteers feel that the symptom is not disappeared. The feature of EGG has changed significantly (such as power instability coefficient, frequency instability coefficient P<0.05) The results of the experiments show that the method based on the synchronous measurement of EGG and IGM is a new reliable and feasibleway to investigate and evaluate gastric motility situation.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117239183","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}
Yi-Mao Hsiao, Wansheng Liu, Wei-Shan Chen, Y. Lu, Jui-Pin Yang, Y. Chu
{"title":"Design and implementation of a healthcare system with fall detection","authors":"Yi-Mao Hsiao, Wansheng Liu, Wei-Shan Chen, Y. Lu, Jui-Pin Yang, Y. Chu","doi":"10.1109/ISBB.2011.6107663","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107663","url":null,"abstract":"Telemedicine information system becomes essential that healthcare system not only supports a better medicine care, but also reduces the medicine cost. In this paper, we introduce our design of outdoor patients monitoring system. This system monitors the patient's whereabouts and then sends the patient's physiological signals to the hospital. We implement a health-care box that collects ECG, video and location of the patient. The health-care box detects whether the patient fall by analyzing the collected information through GPS. Besides, we integrate the Google map into the healthcare system so that the user can know the location of the patient clearly. With proposed two thread system design, the improvements of detection time are 34%–39%.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127456746","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":"3-layer implantable microstrip antenna optimised for retinal prosthesis system in MICS band","authors":"H. Permana, Q. Fang, I. Cosic","doi":"10.1109/ISBB.2011.6107646","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107646","url":null,"abstract":"Retinal Prosthesis has developed to a more advanced stage with the support of advancing technologies. However, there have not been enough details about the wireless mechanism within the system even though it is accountable for the information transmission from the camera to the electrodes and also the complexity of the process itself due to the challenging environments. This paper will discuss about a design of high performance antenna that suits the challenging condition of the implantable devices. Its performance will then be compared with similar antennas that have been proposed or built previously.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124226747","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 implementation of three-dimensional visualization based on MITK","authors":"Xun Zhang, Dandan Cai","doi":"10.1109/ISBB.2011.6107688","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107688","url":null,"abstract":"The technology of three-dimensional visualization in medical imaging is using a series of two-dimensional fault image to reconstruct the model of three-dimensional image, it can provide more realistic display methods and more positional analysis tools. Three-dimensional visualization is realized by the shear warp volume rendering method of mixing the image with object space which embedded into MITK of medical imaging the algorithm bag based on VC6.0. The result shows that, as a set of integrated medical image processing and analysis library, MITK can achieve a lot of powerful function such as parameters' display, cutting, changing and adjusting by C++ language.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126597810","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":"Upper limb motion recognition for unsupervised stroke rehabilitation based on Support Vector Machine","authors":"Liquan Guo, Lei Yu, Qiang Fang","doi":"10.1109/ISBB.2011.6107639","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107639","url":null,"abstract":"In order to monitor the rehabilitation training of stroke patients in unsupervised situation and provide rehabilitation advice for rehabilitation clinicians, a wireless upper limb motion recognition system has been developed using tilt sensors, to identify the complex upper limb movements such as flexion and extension of elbow, flexion of elbow and touch the head, from a stroke patient's rehabilitation program. 18 different movements from a stroke patient's rehabilitation training program were adopted to verify and validate this system with 12 of them in the training group and 6 of them in the testing group. After preprocessing and the feature extraction of the acquired motion data, the Support Vector Machine (SVM) recognition approach was employed to establish a small sample identification model. Finally, the data of testing group in the upper limb rehabilitation training program were used to identify the developed model. It has been found that the recognition accuracy from this developed model was 100%. This result provides a well reference for further development of an automated system for stroke patient rehabilitation motion recognition.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130721231","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":"A computationally light-weight real-time classification method to identify different ECG signals","authors":"F. Chin, Q. Fang, I. Cosic","doi":"10.1109/ISBB.2011.6107703","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107703","url":null,"abstract":"Ventricular arrhythmia is the main cause of cardiac arrest in patients with chronic heart disease. An undetected episode of ventricular tachycardia (VT) can be fatal if emergency medical assistance is not provided. Therefore, it is important to devise a real-time mobile ECG signal analysis algorithm for detection of ventricular tachycardia (VT). This paper presents an algorithm for automatic identification of normal sinus rhythm (NSR) and ventricular tachycardia (VT) which is applicable in a mobile environment. The algorithm employs peak-valley detector and cross-correlation technique to compute a feature vector. The selected features are beats-per-minute (BPM), NSR template accuracy and VT template accuracy. Based on the selected features, a fuzzy k-NN classifier is trained for classification. The algorithm specificity and sensitivity for classifying between NSR and VT ECG signal is 92.5% and 93.5% respectively.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132210909","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}