Digital medicine最新文献_第9页

In the era of digital medicine: Using technologies to restore functional movement in neurological patients. #Walking over disabilities 在数字医学时代:利用技术恢复神经系统患者的功能运动。#跨越残疾

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_6_19

P. Milia, M. Caserio, M. Bigazzi

{"title":"In the era of digital medicine: Using technologies to restore functional movement in neurological patients. #Walking over disabilities","authors":"P. Milia, M. Caserio, M. Bigazzi","doi":"10.4103/digm.digm_6_19","DOIUrl":"https://doi.org/10.4103/digm.digm_6_19","url":null,"abstract":"1 *Address for correspondence: Dr. Paolo Milia, Prosperius Institute, Neurorehabilitation and Robotic Area, University of Perugia, Umbertide, Perugia, Italy. E‐mail: paolo.milia@prosperiustiberino.it The recovery of patients affected by central nervous system (CNS) lesion is like a learning process exploiting preserved sensorimotor circuits. The best recovery is related by providing appropriate proprioceptive input to the spinal cord with the goal of maximally engaging preserved neural circuits. The extent of recovery depends on the severity of CNS damage and the individual capacity of a patient to regain a function.[2] Cognition and motivation are important contributors to this learning and must, therefore, be considered during rehabilitation. However, first of all, we need to understand that the goal of rehabilitation is not exclusively to reestablish “normal” movement patterns but to enable well-organized movements to achieve optimal outcome in mobility and independence during activities of daily living (ADL) for the individual patient.[3] “Lo scopo dell’arte medica è la salute, il fine ottenerla”","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"1 - 2"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70713737","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: 0

Local Gauss multiplicative components method for brain magnetic resonance image segmentation 局部高斯乘分量法用于脑磁共振图像分割

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_7_19

Jie Cheng, Haiqing Yin, Lingling Jiang, Junyu Zheng, S. Wei

{"title":"Local Gauss multiplicative components method for brain magnetic resonance image segmentation","authors":"Jie Cheng, Haiqing Yin, Lingling Jiang, Junyu Zheng, S. Wei","doi":"10.4103/digm.digm_7_19","DOIUrl":"https://doi.org/10.4103/digm.digm_7_19","url":null,"abstract":"Background and Objectives: In magnetic resonance (MR) images' quantitative analysis, there are often considerable difficulties due to factors, such as intensity inhomogeneities and low contrast. Here, we construct a new image segmentation method to solve the MR image segmentation problem caused by internal and external factors. Materials and Methods: We downloaded a series of MR images as research objects through the BrainWeb (http://www.bic.mni.mcgill.ca/brainweb/). There is low contrast information between different components in these images. In addition, we randomly added a certain degree of bias field information to the images. We proposed a model that can simultaneously perform bias field estimation and image segmentation. Our idea is to make use of the property that observed image can be decomposed into multiplicative components. First, the bias field representation is given by a series of smooth basic functions; the required true image is represented as the function of observed image and bias field. Then, the segmentation model of Gaussian probability distribution with different means and variances is constructed by local information. Results: Qualitative experiments (intensity inhomogeneity images) show that our model achieves satisfactory segmentation results with very few (<10) iterations for severe intensity inhomogeneities image segmentation, while quantitative experiments (20 brain MR images) show that the proposed model can achieve higher accuracy in segmentation. Conclusions: Different from the existing model, our model is constructed based on the local information of the true image, and the influence of above-mentioned factors is better avoided and obtain satisfactory results.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"68 - 75"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70713848","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

Teledentistry: An innovative tool for the underserved population 远程牙科:服务不足人群的创新工具

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_13_18

P. Arora, Jasleen Kaur, Jasmine Kaur, A. Arora

引用次数: 19

Level set evolution with intensity prior knowledge for multiple sclerosis lesion segmentation 基于强度先验知识的水平集进化用于多发性硬化症病灶分割

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_5_19

Zhaoxuan Gong, Wei Guo, Zhenyu Zhu, Jia Guo, Wei Li, Guodong Zhang

{"title":"Level set evolution with intensity prior knowledge for multiple sclerosis lesion segmentation","authors":"Zhaoxuan Gong, Wei Guo, Zhenyu Zhu, Jia Guo, Wei Li, Guodong Zhang","doi":"10.4103/digm.digm_5_19","DOIUrl":"https://doi.org/10.4103/digm.digm_5_19","url":null,"abstract":"Background and Objectives: Multiple sclerosis (MS) lesion segmentation is important in estimating the progress of the disease and measuring the impact of new clinical treatments. Manual lesion delineation for the segmentation of lesions is time-consuming and suffers from observer variability. Therefore, a fully automated MS lesion segmentation method is considerable important in clinical practice. Subjects and Methods: In this study, we present a multilabel fusion embedded level set method for white matter lesion segmentation from MS patient images. Specifically, we focus on the validation of the variational level set method. Lesion segmentation is achieved by extending the level set contour which consists of an intensity-constrained term, an image data term, and a regularization term. Results: To compare the performance of our method with other state-of-the-art methods, we evaluated the methods with 25 magnetic resonance imaging datasets of MS patients. The dice score reaches an average of 0.55 for the proposed method. The sensitivity value and specificity value reach an average of 0.89 and 0.14, respectively. Conclusions: Experimental results demonstrate that our method is robust to parameter setting and outperforms other methods. The intensity-constrained term plays a key role in improving the segmentation accuracy. The experimental results show that our approach is effective and robust for lesion segmentation, which might simplify the quantification of lesions in basic research and even clinical trials.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"37 - 45"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70713636","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: 0

Developing serious games to improve children's compliance in chronic illnesses: Input from two use cases 开发严肃游戏以提高儿童对慢性病的依从性:来自两个用例的输入

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_2_19

Luca Morganti, A. Ascolese, Annabel Zettl, L. Pannese

{"title":"Developing serious games to improve children's compliance in chronic illnesses: Input from two use cases","authors":"Luca Morganti, A. Ascolese, Annabel Zettl, L. Pannese","doi":"10.4103/digm.digm_2_19","DOIUrl":"https://doi.org/10.4103/digm.digm_2_19","url":null,"abstract":"Background and Objectives: Developing serious games (SGs) for children is challenging, especially when dealing with complex medical diagnosis. Enhancing children's compliance for the treatment of chronic conditions is a crucial challenge that requires caring about the engagement of users in the game experience already from the initial stages of the development. Materials and Methods: Participatory design is the methodological key to trace the right path toward an effective and easy-to-use game; specific methodological settings are necessary to collect meaningful feedback and guide the creation of the game. Our article reports the involvement of 14 young users in two different stages of the design and development of two SGs for chronic clinical conditions (Crohn's disease and cystic fibrosis). Results: Specific feedbacks were reported about game contents (e.g., the preference for anthropomorphic avatars) and technological issues (e.g., the need of a graphical tutorial). Conclusions: Using the same methodological approach in two different phases of the development allows to highlight children's perspective toward a technological solution addressing clinical compliance.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"30 - 36"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70712399","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

A resource to share work procedures with the medical staff 与医务人员分享工作程序的资源

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/DIGM.DIGM_4_19

Emanuela Cusco, S. Cencetti, M. Caserio, P. Milia

{"title":"A resource to share work procedures with the medical staff","authors":"Emanuela Cusco, S. Cencetti, M. Caserio, P. Milia","doi":"10.4103/DIGM.DIGM_4_19","DOIUrl":"https://doi.org/10.4103/DIGM.DIGM_4_19","url":null,"abstract":"3 *Address for correspondence: Dr. Paolo Milia, Prosperius Institute, University of Perugia, Neurorehabilitation and Robotic Area, Umbertide, Perugia, Italy. E‐mail: paolo.milia@prosperiustiberino.it health-care organization, to improve the quality and efficiency of its own services, and to become aware of those standards that all organizations must meet to be accredited by JCI (ibidem).[2] The Prosperius Tiberino Institute aims to guarantee its brand as an excellent national and international center of rehabilitation and as a reference center for high technology in the rehabilitation field. To achieve this aim, a complex training path has begun in 2016 toward the continuous improvement of the organization and to the accreditation with Joint Commission. The result of the past 2 years has been the definition of an inventory of the procedures and applications of the best practices to reduce risks and manage human, technological organizational resources. According to the latest technological development, the traditional education is supported or replaced by distance learning, which allows learning remotely without being in regular face-to-face contact with a teacher in the classroom. In this scenario, at the end of 2018, the Prosperius Tiberino Institute has set up a learning management system (LMS) platform to make staff aware of the organizational procedures. The objective was to train the staff (120 professionals) and make them aware of the work completed and of the documents produced.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"3 - 5"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70713258","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: 0

Statistical survey of open source medical image databases on the Internet Internet上开源医学图像数据库的统计调查

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_1_19

Hongkai Wang, Xinlei Ma, Haoyu Zhai, Yuhao Liao, Yi Wu, Na Chen, Shaoxiang Zhang, Bin Zhang

{"title":"Statistical survey of open source medical image databases on the Internet","authors":"Hongkai Wang, Xinlei Ma, Haoyu Zhai, Yuhao Liao, Yi Wu, Na Chen, Shaoxiang Zhang, Bin Zhang","doi":"10.4103/digm.digm_1_19","DOIUrl":"https://doi.org/10.4103/digm.digm_1_19","url":null,"abstract":"Background and Objectives: Nowadays, more and more open source medical imaging databases are published on the Internet for medical teaching, algorithm development, and medical research. However, a statistical survey of these databases is still lacking. In this survey, we summarize the current status of open source medical image databases on the Internet. The aim is to make it easier for everyone to find and use open source medical image data. Methods: Information about publicly available medical image databases was collected by searching for scientific papers and Internet search engines. Based on the collected information, the number of databases and the number of images were counted for different diseases, body parts, imaging modalities, and countries. Results: Cancer, particularly breast cancer and lung cancer, ranked top in database numbers among all diseases. The breast, brain, lung, and chest are the top four body parts in terms of database numbers. Computed tomography, magnetic resonance imaging, and X-ray are the most common imaging modalities in the open source datasets. The USA and the Netherlands are the top two countries who own the most databases. Conclusions: The rankings for diseases and body parts were closely related to the diseases morbidity and the health-care expenditure of a country. The number of open sources of medical imaging databases is still growing; there is a need for continuous statistical research on their existence status in the coming years. The list of all the collected databases is opened on the Internet (https://docs.qq.com/sheet/DQWF0QlZKVHpHU1Za).","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"13 - 21"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70711481","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

Digital interventions to strengthen the health sector: World Health Organization 加强卫生部门的数字干预措施:世界卫生组织

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_12_19

S. Shrivastava, P. Shrivastava

引用次数: 0

Artificial intelligence in health care: A game changer 医疗保健领域的人工智能:游戏规则改变者

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_8_19

M. Krishnatreya

引用次数: 0

The characterization of a pressure sensor constructed from a knitted spacer structure 由编织间隔结构构成的压力传感器的特性

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_17_18

Theodore Hughes‐Riley, Carlos Oliveira, R. Morris, T. Dias

{"title":"The characterization of a pressure sensor constructed from a knitted spacer structure","authors":"Theodore Hughes‐Riley, Carlos Oliveira, R. Morris, T. Dias","doi":"10.4103/digm.digm_17_18","DOIUrl":"https://doi.org/10.4103/digm.digm_17_18","url":null,"abstract":"Background and Objectives: This study investigates a novel type of textile pressure sensor fabricated in a single production step. The work characterizes two designs of electronic textile pressure sensor creating new knowledge into the operation of these types of textile sensors. Interest in electronic flexible film and electronic textile pressure sensing has grown in recent years given their potential in medical applications, principally in developing monitoring solutions for wheelchair users and hospital patients to help prevent the formation of pressure ulcers. Materials and Methods: Two designs of textile pressure sensor were produced using computerized flat-bed knitting. One design was produced in a single step, where the conductive tracks were incorporated into the top and bottom surfaces of a knitted spacer structure (knitted spacer pressure sensor). The other sensor was comprised of separate knitted layers. The response of the sensors was tested by changing the applied pressure in two ways: By altering the applied force or changing the area of the applied force. Sensor hysteresis and how the sensor thickness affected its response were also examined. Results: The two sensor designs behaved differently under the tested conditions. The knitted spacer pressure sensor was pressure sensitive up to 25 kPa and showed no hysteretic effects over the pressure range of interest. Conclusions: This study presents a fully textile pressure sensor that was produced with a single production step and demonstrates its functionality over the pressure range of interest for monitoring wheelchair users.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"22 - 29"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70712219","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