2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)最新文献_第4页

Innovative purification method to extract magnetic carbon nanotubes from arc-discharged single-walled carbon nanotubes 从电弧放电单壁碳纳米管中提取磁性碳纳米管的创新纯化方法

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754159

Chuan He, Yuzhi Hao, J. Xing, Jie Chen

引用次数: 0

Differential diagnosis of human lung cancer — A label-free and chemistry-sensitive approach 人类肺癌的鉴别诊断-无标记和化学敏感的方法

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754143

Liang Gao, Yaliang Yang, Jiong Xing, Michael J. Thrall, Zhiyong Wang, Fuhai Li, Pengfei Luo, Kelvin K. Wong, Stephen T. C. Wong

{"title":"Differential diagnosis of human lung cancer — A label-free and chemistry-sensitive approach","authors":"Liang Gao, Yaliang Yang, Jiong Xing, Michael J. Thrall, Zhiyong Wang, Fuhai Li, Pengfei Luo, Kelvin K. Wong, Stephen T. C. Wong","doi":"10.1109/LISSA.2011.5754143","DOIUrl":"https://doi.org/10.1109/LISSA.2011.5754143","url":null,"abstract":"Lung carcinoma is the most prevalent type of cancer, and it is responsible for more deaths than other types of cancer [1]. Unlike other imaging modalities used for lung cancer diagnosis, such as magnetic resonance imaging (MRI) and computed tomography (CT), coherent anti-Stokes Raman scattering (CARS) offers submicron spatial resolutions and video-rate temporal resolution along with chemical specificity. This method potentially allows label-free differential diagnosis of lung cancer at high resolution. This study aims at demonstrating the feasibility of using CARS to differentiate normal, benign and different subtypes of lung cancers. Human lung lesions, including small cell carcinoma, adenocarcinoma, squamous cell carcinoma and intestinal fibrosis, were imaged ex vivo using a CARS microscope and compared to their corresponding hematoxylin and eosin (H&E) staining results. Our data shows that CARS is capable of identifying cellular features in a similar way as H&E stain, and these features could be used to characterize different types of lung lesions from each other. Therefore, the CARS technique offers a new strategy for differential diagnosis of lung lesions using pathologically prevalent criteria, and thus could be further developed for in vivo and real time diagnosis of early stage lung cancer.","PeriodicalId":227469,"journal":{"name":"2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134338112","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

Predicting tumor-suppressing genes in cancer via clustering the developmental stage gene expression profile 通过聚类发育阶段基因表达谱预测肿瘤抑制基因

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754170

Nitin K. Singh, M. Vidyasagar, M. White

引用次数: 1

A low noise and robust 3D system-in-package test scheme for highly integrated biomedical systems 一种用于高度集成生物医学系统的低噪声和鲁棒3D系统级封装测试方案

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754142

Chia-Yi Lin, W. Fang, Hung-Ming Chen, Zong-Han Hsieh, C. Chen

引用次数: 1

Transient ST-segment episode detection for ECG beat classification 瞬态st段发作检测用于心电心跳分类

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754171

S. C. Bulusu, M. Faezipour, Vincent Ng, M. Nourani, L. Tamil, S. Banerjee

{"title":"Transient ST-segment episode detection for ECG beat classification","authors":"S. C. Bulusu, M. Faezipour, Vincent Ng, M. Nourani, L. Tamil, S. Banerjee","doi":"10.1109/LISSA.2011.5754171","DOIUrl":"https://doi.org/10.1109/LISSA.2011.5754171","url":null,"abstract":"Sudden Cardiac Death (SCD) is an unexpected death caused by loss of heart function when the electrical impulses fired from the ventricles become irregular. Most common SCDs are caused by cardiac arrhythmias and coronary heart disease. They are mainly due to Acute Myocardial Infarction (AMI), myocardial ischaemia and cardiac arrhythmia. This paper aims at automating the recognition of ST-segment deviations and transient ST episodes which helps in the diagnosis of myocardial ischaemia and also classifying major cardiac arrhythmia. Our approach is based on the application of signal processing and artificial intelligence to the heart signal known as the ECG (Electrocardiogram). We propose an improved morphological feature vector including ST-segment information for heart beat classification by supervised learning using the support vector machine approach. Our system has been tested and yielded an accuracy of 93.33% for the ST episode detection on the European ST-T Database and 96.35% on MIT-BIH Arrhythmia Database for classifying six major groups, i.e. Normal, Ventricular, Atrial, Fusion, Right Bundle and Left Bundle Branch Block beats.","PeriodicalId":227469,"journal":{"name":"2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133160203","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

Detection of glycated hemoglobin using 3-Aminophenylboronic acid modified graphene oxide 3-氨基苯基硼酸修饰氧化石墨烯检测糖化血红蛋白

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754140

V. SivaRamaKrishna, B. Amrutur, N. Bhat, K. ChakraPani, S. Srinivasan

引用次数: 9

A current-reuse quadrature VCO for wireless body area networks 一种用于无线体域网络的电流复用正交压控振荡器

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754154

J. Kim, Jihoon Jeong, D. Ha, Hyung-Soo Lee

引用次数: 7

Electronic dynamic cellular sensor used to measure gold nanoparticles enhanced radiotherapy 电子动态细胞传感器用于测量金纳米颗粒增强放疗

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754145

J. Xing, Xiaoyan Yang, Jie Chen, Biao Huang, W. Roa

引用次数: 4

From molecular electronics to proteonics: Break junctions for biomarker detection 从分子电子学到蛋白质学:生物标志物检测的断裂连接

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754160

A. Ilyas, W. Asghar, Joseph A. Billo, Ehsan A. Q. Syed, S. Iqbal

引用次数: 3

A low-power low-noise CMOS analog front-end IC for portable brain-heart Monitoring applications 一种用于便携式脑-心监测应用的低功耗低噪声CMOS模拟前端IC

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA) Pub Date : 2011-04-07 DOI: 10.1109/LISSA.2011.5754151

Chung-Han Tsai, Zong-Han Hsieh, W. Fang

{"title":"A low-power low-noise CMOS analog front-end IC for portable brain-heart Monitoring applications","authors":"Chung-Han Tsai, Zong-Han Hsieh, W. Fang","doi":"10.1109/LISSA.2011.5754151","DOIUrl":"https://doi.org/10.1109/LISSA.2011.5754151","url":null,"abstract":"In this paper, a low power and low noise eight-channel analog front-end (AFE) IC for portable brain-heart monitoring applications is presented. The developed IC features a fully integrated eight-channel design which includes one channel for diffuse optical tomography (DOT), three channels for electrocardiography (ECG), and four channels for electroencephalography (EEG). In order to achieve the targets of lower power, lower noise, and more efficient area utilization, a new programmable readout channel is invented which is composed of a chopper-stabilized differential difference amplifier (CHDDA), an adjustable gain amplifier, and an adjustable low pass filter (LPF). Furthermore, a 10-bit successive approximation register analog-to-digital converter (SAR-ADC) is employed in conjunction with an analog multiplexer to select a particular biosignal for analog-to-digital conversion. The proposed IC has been fabricated in the TSMC 0.18 um CMOS technology and simulated using HSPICE under a 1.8-V supply voltage and an operating frequency of 512 Hz. The power supply rejection ratio (PSRR) +/- of the CHDDA is 113/105 dB. The power consumption of the programmable readout channel and the SAR-ADC is about 71.159 µW and 8.27 µW, respectively. The total power consumption of the full AFE chip is about 506.38 µW and the chip area is about 1733 × 1733 um2.","PeriodicalId":227469,"journal":{"name":"2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124057546","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: 18