A low-cost mobile adaptive tracking system for chronic pulmonary patients in home environment.

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dc.contributor.authorIşik, Ali Hakan
dc.contributor.authorGüler, Inan
dc.contributor.authorSener, Melahat Uzel
dc.date.accessioned2020-02-06T18:36:10Z
dc.date.available2020-02-06T18:36:10Z
dc.date.issued2013-01-15
dc.description.abstractOBJECTIVE The main objective of this study is presenting a real time mobile adaptive tracking system for patients diagnosed with diseases such as asthma or chronic obstructive pulmonary disease and application results at home The main role of the system is to support and track chronic pulmonary patients in real time who are comfortable in their home environment It is not intended to replace the doctor regular treatment and diagnosis MATERIALS AND METHODS In this study the Java 2 micro edition based system is integrated with portable spirometry smartphone extensible markup language based Web services Web server and Web pages for visualizing pulmonary function test results The Bluetooth Bluetooth SIG Kirkland WA virtual serial port protocol is used to obtain the test results from spirometry General packet radio service wireless local area network or third generation based wireless networks are used to send the test results from a smartphone to the remote database The system provides real time classification of test results with the back propagation artificial neural network algorithm on a mobile smartphone It also provides the generation of appropriate short message service based notification and sending of all data to the Web server In this study the test results of 486 patients obtained from Atat rk Chest Diseases and Thoracic Surgery Training and Research Hospital in Ankara Turkey are used as the training and test set in the algorithm RESULTS The algorithm has 98 7 accuracy 97 83 specificity 97 63 sensitivity and 0 946 correlation values The results show that the system is cheap 900 Euros and reliable CONCLUSIONS The developed real time system provides improvement in classification accuracy and facilitates tracking of chronic pulmonary patients
dc.identifier.urihttp://dx.doi.org/10.1089/tmj.2012.0056
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/6641
dc.relation.uriTelemedicine journal and e-health : the official journal of the American Telemedicine Association
dc.subjectAdult
dc.subjectAt risk for a particular disease or infection
dc.subjectClient
dc.subjectDelayed reporting of events
dc.subjectAccess to information or data
dc.subjectSupportive supervision
dc.subjectGeographic inaccessibility
dc.subjectTimeliness of care
dc.subjectPrototype
dc.subjectFeasibility
dc.subjectFunctionality
dc.subjectNon-randomized
dc.subjectAsthma
dc.subjectCardiovascular disease
dc.subjectAcute or emergency
dc.subjectChronic care
dc.subjectDisease management
dc.subjectElectronic health records
dc.subjectSMS
dc.subjectBluetooth
dc.subjectText
dc.subjectInternet
dc.titleA low-cost mobile adaptive tracking system for chronic pulmonary patients in home environment.en
dcterms.abstractOBJECTIVE The main objective of this study is presenting a real time mobile adaptive tracking system for patients diagnosed with diseases such as asthma or chronic obstructive pulmonary disease and application results at home The main role of the system is to support and track chronic pulmonary patients in real time who are comfortable in their home environment It is not intended to replace the doctor regular treatment and diagnosis MATERIALS AND METHODS In this study the Java 2 micro edition based system is integrated with portable spirometry smartphone extensible markup language based Web services Web server and Web pages for visualizing pulmonary function test results The Bluetooth Bluetooth SIG Kirkland WA virtual serial port protocol is used to obtain the test results from spirometry General packet radio service wireless local area network or third generation based wireless networks are used to send the test results from a smartphone to the remote database The system provides real time classification of test results with the back propagation artificial neural network algorithm on a mobile smartphone It also provides the generation of appropriate short message service based notification and sending of all data to the Web server In this study the test results of 486 patients obtained from Atat rk Chest Diseases and Thoracic Surgery Training and Research Hospital in Ankara Turkey are used as the training and test set in the algorithm RESULTS The algorithm has 98 7 accuracy 97 83 specificity 97 63 sensitivity and 0 946 correlation values The results show that the system is cheap 900 Euros and reliable CONCLUSIONS The developed real time system provides improvement in classification accuracy and facilitates tracking of chronic pulmonary patients
dcterms.contributorIşik, Ali Hakan
dcterms.contributorGüler, Inan
dcterms.contributorSener, Melahat Uzel
dcterms.identifierhttp://dx.doi.org/10.1089/tmj.2012.0056
dcterms.relationTelemedicine journal and e-health : the official journal of the American Telemedicine Association
dcterms.subjectAdult
dcterms.subjectAt risk for a particular disease or infection
dcterms.subjectClient
dcterms.subjectDelayed reporting of events
dcterms.subjectAccess to information or data
dcterms.subjectSupportive supervision
dcterms.subjectGeographic inaccessibility
dcterms.subjectTimeliness of care
dcterms.subjectPrototype
dcterms.subjectFeasibility
dcterms.subjectFunctionality
dcterms.subjectNon-randomized
dcterms.subjectAsthma
dcterms.subjectCardiovascular disease
dcterms.subjectAcute or emergency
dcterms.subjectChronic care
dcterms.subjectDisease management
dcterms.subjectElectronic health records
dcterms.subjectSMS
dcterms.subjectBluetooth
dcterms.subjectText
dcterms.subjectInternet
dcterms.titleA low-cost mobile adaptive tracking system for chronic pulmonary patients in home environment.en
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