2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings最新文献_第10页

Yield-oriented biopotential amplifier design for PCB-based active dry electrodes 基于pcb的有源干电极的产量导向生物电位放大器设计

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145272

Carlos E. Teixeira, Luís H. C. Ferreira

引用次数: 2

Performance assessment of FBG temperature sensors for laser ablation of tumors 激光肿瘤消融用光纤光栅温度传感器的性能评价

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145221

Wei Chen, Riccardo Gassino, Yu Liu, A. Carullo, G. Perrone, A. Vallan, D. Tosi

引用次数: 23

Blood oxygen saturation measurement by smartphone camera 用智能手机摄像头测量血氧饱和度

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145228

F. Lamonaca, D. L. Carní, D. Grimaldi, A. Nastro, M. Riccio, V. Spagnuolo

引用次数: 31

Improving classification of sit, stand, and lie in a smartphone human activity recognition system 改进智能手机人体活动识别系统中坐、站、躺的分类

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145250

N. A. Capela, E. Lemaire, N. Baddour

{"title":"Improving classification of sit, stand, and lie in a smartphone human activity recognition system","authors":"N. A. Capela, E. Lemaire, N. Baddour","doi":"10.1109/MeMeA.2015.7145250","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145250","url":null,"abstract":"Human Activity Recognition (HAR) allows healthcare specialists to obtain clinically useful information about a person's mobility. When characterizing immobile states with a smartphone, HAR typically relies on phone orientation to differentiate between sit, stand, and lie. While phone orientation is effective for identifying when a person is lying down, sitting and standing can be misclassified since pelvis orientation can be similar. Therefore, training a classifier from this data is difficult. In this paper, a hierarchical classifier that includes the transition phases into and out of a sitting state is proposed to improve sit-stand classification. For evaluation, young (age 26 ± 8.9 yrs) and senior (age 73 ± 5.9yrs) participants wore a Blackberry Z10 smartphone on their right front waist and performed a continuous series of 16 activities of daily living. Z10 accelerometer and gyroscope data were processed with a custom HAR classifier that used previous state awareness and transition identification to classify immobile states. Immobile state classification results were compared with (WT) and without (WOT) transition identification and previous state awareness. The WT classifier had significantly greater sit sensitivity and F-score (p<;0.05) than WOT. Stand specificity and F-score for WT were significantly greater than WOT for seniors. WT sit sensitivity was greater than WOT for the young population, though not significantly. All outcomes improved for the young population. These results indicated that examining the transition period before an immobile state can improve immobile state recognition. Sit-stand classification on a continuous daily activity data set was comparable to the current literature and was achieved without the use of computationally intensive feature spaces or classifiers.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116081983","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: 23

A smartphone-enhanced pill-dispenser providing patient identification and in-take recognition 智能手机增强的药丸分配器，提供患者身份识别和服药识别

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145252

C. Crema, A. Depari, A. Flammini, Mirko Lavarini, E. Sisinni, A. Vezzoli

引用次数: 22

Microsensors and energy harvesting for thermotherapy: Design and characterization 用于热疗的微传感器和能量收集:设计和表征

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145238

A. Lay-Ekuakille, G. Pagliara, P. Vergallo, M. Z. U. Rahman, D. K. Reddy, S. Casciaro, F. Conversano

引用次数: 1

Automated hippocampus segmentation with the Channeler Ant Model: Results on different datasets channel Ant模型的自动海马分割:不同数据集上的结果

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MEMEA.2015.7145166

E. Fiorina, F. Pennazio, C. Peroni, E. L. Torres, M. Fantacci, A. Retico, L. Rei, A. Chincarini, P. Bosco, M. Boccardi, M. Bocchetta, P. Cerello

{"title":"Automated hippocampus segmentation with the Channeler Ant Model: Results on different datasets","authors":"E. Fiorina, F. Pennazio, C. Peroni, E. L. Torres, M. Fantacci, A. Retico, L. Rei, A. Chincarini, P. Bosco, M. Boccardi, M. Bocchetta, P. Cerello","doi":"10.1109/MEMEA.2015.7145166","DOIUrl":"https://doi.org/10.1109/MEMEA.2015.7145166","url":null,"abstract":"The hippocampus segmentation in Magnetic Resonance (MRI) scans is a relevant issue for the diagnosis of many pathologies. The present work describes a fully automated method for the hippocampal segmentation and discusses the results obtained on three datasets provided by different institutions and referring to different pathologies that involve hippocampus anatomy. The algorithm is based on an extension of the Channeler Ant Model, a powerful non linear segmentation tool belonging to the family of ant colony-based models, whose application to medical image processing already provided some promising results in the analysis of CT and PET scans. In this application, thanks to a modified pheromone deposition rule, both the grey matter intensity and the expected average hippocampus shape are taken into account. In this paper, the results on the three available datasets, obtained from the comparison to manual segmentations by different subjects and protocols, are shown: an average Dice Index in the 0.72- 0.79 range, depending on the analysed dataset, is reached.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128685210","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

Connected vision care for eradication of preventable blindness 联网视力保健根除可预防性失明

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145199

Nataraj Kuntagod, Sanjoy Paul, S. Kumaresan, Bharath Balasubramaniam, Imtiaz Ahmed

{"title":"Connected vision care for eradication of preventable blindness","authors":"Nataraj Kuntagod, Sanjoy Paul, S. Kumaresan, Bharath Balasubramaniam, Imtiaz Ahmed","doi":"10.1109/MeMeA.2015.7145199","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145199","url":null,"abstract":"90% of the visually impaired worldwide live in a low income setting, and 80% of all visual impairment can be prevented or cured provided, a timely care is given. A large portion of at risk population does not avail timely vision care due to low awareness and inability to afford nor access quality vision care. Generating high patient volumes by reaching out into the community is a general approach taken by many hospitals to provide quality and affordable vision care. However, all of them rely on semi-skilled field workers to reach out to the community. A significant challenge to the effectiveness of field workers is the paper-based systems they use to register patients, gather information about them, and analyze the collected data. The lack of online monitoring and access to real-time analytics makes the process inefficient when scaled across large geographies. This paper proposes a connected vision care wireless solution comprising of a mobile decision support system and an analysis and reporting server connected via an existing cellular infrastructure. This solution upgrades every field worker to a knowledge worker, enables automatic compliance and status tracking of patients, and provides real-time analysis for efficient program management. This paper highlights the improved efficiency of the vision care program achieved using the solution in a field trial conducted by Sankara Eye Care hospital in Tamil Nadu, India.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979461","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

Combining Graph Analysis and Recurrence Plot on fMRI data fMRI数据的图分析与递归图相结合

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145165

A. Lombardi, P. Guccione, L. Mascolo, P. Taurisano, L. Fazio, G. Nico

引用次数: 2

A Digital Image Correlation based technique to control the development of a skeletal muscle engineered tissue by measuring its surface strain field 基于数字图像相关技术，通过测量骨骼肌工程组织的表面应变场来控制其发育

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings Pub Date : 2015-05-07 DOI: 10.1109/MeMeA.2015.7145219

E. Rizzuto, S. Carosio, A. Musarò, Z. Prete

{"title":"A Digital Image Correlation based technique to control the development of a skeletal muscle engineered tissue by measuring its surface strain field","authors":"E. Rizzuto, S. Carosio, A. Musarò, Z. Prete","doi":"10.1109/MeMeA.2015.7145219","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145219","url":null,"abstract":"X-MET (Ex-vivo Muscle Engineered Tissue) is a promising 3-dimensional model of skeletal muscle for in vitro tests and in vivo transplant. X-MET is an in vitro cultured tissue and has several properties in common with adult skeletal muscle, from biological and morphological to functional ones. To monitor the X-MET's growing improvements, we developed an experimental system based on Digital Image Correlation (DIC) to precisely measure the tissue's contractile capability, thus trying to prevent the formation of any anisotropic or inhomogeneous parts. We employed a high speed camera mounted on a stereomicroscope, and synchronized the image acquisition with the electrical stimulation and the force response measurement. The capability of measuring the 2-dimensional surface strain field in any desired Region Of Interest (ROI) allowed to obtain a comprehensive monitoring of the tissue's formation, both at a global and a local level. Preliminary results confirmed the adequacy of the system to measure tissue's strain field in complete accordance with the force measurement. Moreover, an in-depth analysis allowed to precisely pinpoint the sub-zones where discontinuities arise during tissue formation, returning essential information to improve X-MET generation process.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127586334","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