Journal of Medical Imaging and Health Informatics最新文献

{"title":"Evaluation Strategies for Wireless Ultra Wideband Communication Towards Orthopedic Surgical Scheme","authors":"S. Prabhu, R. Puviarasi, S. Mole, T. Jarin, E. Gajendran","doi":"10.1166/JMIHI.2018.2536","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2536","url":null,"abstract":"Wireless medical devices shall considerably improve the proficiency and effectiveness in medical segments. Recent wireless inventions enable reduced design, thus becomes inexpensive for manufacturing. Huge quantity of individual information is measured and communicated in wireless manner,\u0000 consequently safety precautions are needed to be integrated with these wireless technologies. The evaluation strategies for Wireless Ultra Wideband communication towards orthopedic surgical scheme has been explained in this paper. Every devices considered in this paper are identical with each\u0000 others towards their elementary objective. However, they vary towards different real-world applications. The devices enumerated in this paper have shared operating frequency bands of 2.4 GHz ISM Band and UWB frequency ranging from 3.1 GHz to 10.6 GHz. Every devices entailed here is positioned\u0000 to fit within the operating frequencies either at 2.4 GHz or 3.1 GHz to 10.6 GHz. This paper targets on protective patient-privacy which is deemed to be energetic characteristics towards isolated patient monitoring schemes. Considering the rise in quantity of feasible wireless medicinal products,\u0000 this paper targets in the engagement of different wireless standards and measured data on the basis of dissimilar rates. Thus, the foremost significant in this work is towards supplementing the quantity of integration in wireless medical monitoring schemes. Similarly, as the applications of\u0000 implantable and ingestible wireless medical approaches are becoming increased, they offer easy accessing towards data collecting and data which are previously dreadful, and this has been considered as a vital parameter in this paper. Hence, there becomes bigger possibility towards improving\u0000 exactness of wireless positioning arrangements. When complications of the system increase, the prevailing protocols shall not be appropriate for superior and satisfactory bandwidth pertaining real-time application, thereby few protocols have been worked out to encounter this issue. Therefore,\u0000 the major contributions in this paper include advanced speediness, superior data rate designs and effective protocols. In this paper, all the structures entailed have the potential to assist doctors for improving the dominance in lives of patients, thus application development is properly\u0000 discussed for progressing with these implements.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"67 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83436746","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":"Performance Evaluation of Visual Therapy Method Used for Cerebral Palsy Rehabilitation","authors":"P. Illavarason, AROKIA RENJIT J, P. M. Kumar","doi":"10.1166/JMIHI.2018.2515","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2515","url":null,"abstract":"Cerebral Palsy (CP) is a non progressive neurological disorders commonly associated with a spectrum of developmental disabilities such as strabismus (misalignment of eye). In this study, by quantitatively assess the performance analysis of Visual Therapy Method used for CP children.\u0000 By capturing the Eye Movement of 25 children with CP (aged 3–15 years) with relatively mild motor-impairment and also analyzed the performance of CP children periodically. The Eye image are captured through camera, this make the quick diagnosis and examination the periodical assessment\u0000 of CP kids. By Visual Therapy Function the CP children vision improvement develops as fast as or even faster. Proposed area of the research segments the eye image into Pupil, Iris, Eyelids and Eye corner detection using different image processing algorithms as well as measure the deviation\u0000 position of pupil for abnormal eyes taking the normal eye as the reference or threshold value. To further enhance these compare deviation Position of the normal and the abnormal eyes and to find the severity affection of abnormal eye and to measure the performance improvement achievement by\u0000 Visual Therapy Method for CP rehabilitation. The improvement analyzed for CP kids were maintained and recorded for the periodical month of Initial, 6th and 12th month. As a result, the Physicians can use this report to guide the CP kids in Rehabilitation Center and also this image processing\u0000 technique offers the greater flexibility for the prospective subjects of improvement in CP Rehabilitation by Visual Therapy Method. In this context, Image processing techniques are being recommended as a performance evaluation tool in children with CP and each of these processes are suggesting\u0000 method for developing a more systematic understanding of Oculomotor abnormalities.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81580506","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":"Non Linear Regression Analysis on the Effect of General Anesthesia on Postoperative Sleep Impairment in Elderly Patients Performed with a Laparotomy","authors":"Z. Hua-feng, Chen Junping, Wang Ruichun, Wu Guorong","doi":"10.1166/JMIHI.2018.2533","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2533","url":null,"abstract":"To explore the cause of sleep disorders in patients in the resuscitation room for anesthesia, and to put forward corresponding nursing methods. 212 patients with sleep disorder after operation were selected from our hospital's anesthesia resuscitation room from April 2015 to February\u0000 2016 to investigate the types and causes of sleep disorders with self-designed questionnaire and to carry out a targeted nursing intervention to them. The results showed that the proportion of frequent restless among the sleep disorders was the highest, and the others were in turn early awakening,\u0000 difficulty of falling asleep again, difficulty in falling asleep, and sleepless all night. Among the causes of sleep disorders, the postoperative pain accounted for the highest percentage, and other major causes include abdominal distension, urgent urination, postural discomfort and other\u0000 discomforts. According to the different types, causes and symptoms of sleep disorder, medical staff should have provide a targeted and planned nursing to improve the quality of sleep and facilitate a rapid resuscitation of patients.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83906488","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":"Photoplethysmogram Signal Quality Assessment Using Support Vector Machine and Multi-Feature Fusion","authors":"Jie Zhang, Licai Yang, Zhonghua Su, Xueqin Mao, Kan Luo, Chengyu Liu","doi":"10.1166/JMIHI.2018.2530","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2530","url":null,"abstract":"Background: Noise is unavoidable in the physiological signal measurement system. Poor quality signals can affect the results of analysis and disable the following clinical diagnosis. Thus, it is necessary to perform signal quality assessment before we interpreting the signal.\u0000 Objective: In this work, we describe a method combing support vector machine (SVM) and multi-feature fusion for assessing the signal quality of pulsatile waveforms, concentrating on the photoplethysmogram (PPG). Methods: PPG signals from 53 healthy volunteers were recorded. Each\u0000 had a 5 min length. Signal quality in each heart beat was manual annotated by clinical expert, and then the signal quality in 5 s episode was automatically calculated according to the results from each beat segments, resulting in a total of 13,294 5-s PPG segments. Then a SVM was trained to\u0000 classify clean/noisy PPG recordings by inputting a set of twelve signal quality features. Further experiments were carried out to verify the proposed SVM based signal quality classifier method. Results: An average accuracy of 87.90%, a sensitivity of 88.10% and a specificity of 87.66%\u0000 were found on the 10-fold cross validation. Conclusions: The signal quality of PPGs can be accurately classified by using the proposed method.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90963082","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 Special Section on Methods and Application in Biomedical Imaging – Part 2","authors":"Luis Gomez Deniz Palmas Gran Canaria, E. Ng","doi":"10.1166/JMIHI.2018.2480","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2480","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85143719","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":"Registration of Paired Inspiratory-Expiratory Lung CT Images Using Fissural Information","authors":"Z. Bian, Wenjun Tan, Jiren Liu, Dazhe Zhao","doi":"10.1166/JMIHI.2018.2491","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2491","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76271356","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":"Research on Controllable Electrical Impedance Tomography System Based on Field Programmable Gate Array","authors":"Shiqiang Li, Guoqiang Liu, Xing Xu","doi":"10.1166/jmihi.2018.2495","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2495","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72874685","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 an Optical System for Nonmydriatic Stereoscopic Imaging Fundus Camera","authors":"Shiliang Lou, Lei Geng, Zhitao Xiao, Fang Zhang, Jun Wu, Yanbei Liu, Wen Wang","doi":"10.1166/jmihi.2018.2485","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2485","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72749984","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":"Diagnosis of Thyroid Diseases Using SPECT Images Based on Convolutional Neural Network","authors":"Liyong Ma, C. Ma, Yuejun Liu, Xugang Wang, Wei Xie","doi":"10.1166/JMIHI.2018.2493","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2493","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84374104","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":"Automatic Breast Segmentation in Magnetic Resonance Imaging Using Improved Fully Convolutional Network","authors":"Hang Sun, Hongli Zhang, Siqi Liu, Hong Li, Wei Zhang, F. M. Arukalam, W. Qian","doi":"10.1166/JMIHI.2018.2489","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2489","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"6 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80567136","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}