2016 Medical Technologies National Congress (TIPTEKNO)最新文献_第8页

Analysis of fractional-order 2×n RLC circuit network by mesh currents method 用网格电流法分析分数阶2×n RLC电路网络

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863079

Mahmut Ün, Manolya Ün, Faruk Sanberk Kızıltaş

引用次数: 2

City hospitals model in biomedical calibration service 城市医院生物医学校准服务模式

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863140

Onur Kocak, E. Budak, Faruk Beytar, Büşra Özgöde, Barış Çoruh, Arif Koçoğlu, O. Eroğul

{"title":"City hospitals model in biomedical calibration service","authors":"Onur Kocak, E. Budak, Faruk Beytar, Büşra Özgöde, Barış Çoruh, Arif Koçoğlu, O. Eroğul","doi":"10.1109/TIPTEKNO.2016.7863140","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863140","url":null,"abstract":"Clinical engineering comprise of management of medical technology, medical device maintenance, repair, and calibration which they are bought according to capacity of health institution. In this study, entirely using principles have been given about medical device maintenance, repair, and calibration. A model has been designed which is biomedical calibration production service to new vast city hospitals. The hospitals have high bed capacity and because of that there are more different types of medical devices in their inventory. According to the model has been depicted about separating medical devices too. Besides, process planning has been materialized in biomedical calibration. A new work flow model has been suggested result of evaluating both of calibration and preventive maintenance. Moreover in this study mentioned about laboratory accreditation to international traceability need. Furthermore an offset investment model has been examined to medical device calibrators which they will have bought city hospitals. Urgent actions have detected for all consider authority to the investment model success.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"1 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133136440","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

Comparison of medical test absorbers 医学试验吸收剂的比较

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863139

I. Catalkaya, S. Kent

引用次数: 0

Sleep apnea detection with respiratory sounds 用呼吸声音检测睡眠呼吸暂停

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863072

B. Doğan, T. Ölmez

引用次数: 1

The effect of autoencoders over reducing the dimensionality of a dermatology data set 自动编码器对降低皮肤病学数据集维数的影响

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863101

Abdullah Çalıskan, H. Badem, A. Basturk, M. E. Yuksel

引用次数: 3

Clustering and classification of dermatologic data with Self Organization Map (SOM) method 基于自组织图(SOM)方法的皮肤病学数据聚类与分类

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863075

U. Fidan, Nese Ozkan, İsmail Çalikuşu

{"title":"Clustering and classification of dermatologic data with Self Organization Map (SOM) method","authors":"U. Fidan, Nese Ozkan, İsmail Çalikuşu","doi":"10.1109/TIPTEKNO.2016.7863075","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863075","url":null,"abstract":"Nowadays, skin diseases have increased due to various external effects such as chemical, radiological and so on. In dermatology, the distinguished diagnosis of Erythemato-squamos diseases is a situation that doctors often confront. When many skin diseases are examined, it is seen that many of them are quite similar in shape and appearance although their reasons of emergence are different. Doctors try to distinguish diseases from each other and diagnose by evaluating the clinical findings with pathological parameters. It is observed that many researchers have conducted studies on the Erythemato-Squamous diseases to develop decision support systems using different classification algorithms for detection and diagnosis. Unlike the cited studies in literature, the aim of the present study is to extract Self Organization Maps (SOM) of clinical and pathological findings and investigate cluster of condition various diseases from reduced data. SOM is a size reduction process which aim to simplify the problem. Basically, SOM provides less size reduction output using multidimensional input. In this study, the clinical and pathological classification was realized separately and together. As the result, classification of six types of Erythamato-Squamos skin disease was performed with SOM artificial intelligence application. In addition, clinical and pathological effects of SOM application was seen clearly by showing as a graphically display instead of a matrix. As a result, in the diagnosis of Erythemao-Squamos diseases, it was determined that a dermatologist diagnose mostly depending on the clinical findings although pathological findings contain quantative data.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115479081","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: 5

Determination of the day of the menstrual cycle from hormonal measurements using linear regression 用线性回归从激素测量中确定月经周期的日期

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863062

Özlem Karabiber, Y. Isler

引用次数: 2

Applications on haptic rehabilitation 触觉康复的应用

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863077

M. E. Kütük, L. Dülger, M. T. Das

引用次数: 0

Audiometer device design with integration to different sources 听力计设备设计与集成到不同的来源

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863064

Y. Isler, Y. Ö. Uzun

引用次数: 2

Morphologic based feature extraction for arrhythmia beat detection 基于形态学特征提取的心律失常检测

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863065

Merve Dogruyol Basar, Soner Kotan, N. Kiliç, A. Akan

引用次数: 1