Usama Pervaiz, Saed Khawaldeh, Tajwar Abrar Aleef, Vu Minh Hoang, Y. Hagos
{"title":"Activity monitoring and meal tracking for cardiac rehabilitation patients","authors":"Usama Pervaiz, Saed Khawaldeh, Tajwar Abrar Aleef, Vu Minh Hoang, Y. Hagos","doi":"10.1504/IJMEI.2018.10006898","DOIUrl":null,"url":null,"abstract":"Heart disease has been ranked as the first cause for death in Pakistan along with being the leading cause of death worldwide (https://www.cdc.gov). Recovering heart patients need to monitor their diet and activity routines to mitigate chances of another occurrence (https://www.heart.org). The proposed application aims to provide a platform that would help patients to keep track of their activity, alongside allowing the patients to keep track of their diet; which will act as fitness monitoring for cardiac rehabilitation patients. Further more, activity classification algorithm used only seven features to shows classification into five different classes with accuracy of 98% in real time. Also, meal tracking module is designed to support the cardiac patients with timely feedback and notifications about their dietary routine.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Medical Eng. Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMEI.2018.10006898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Heart disease has been ranked as the first cause for death in Pakistan along with being the leading cause of death worldwide (https://www.cdc.gov). Recovering heart patients need to monitor their diet and activity routines to mitigate chances of another occurrence (https://www.heart.org). The proposed application aims to provide a platform that would help patients to keep track of their activity, alongside allowing the patients to keep track of their diet; which will act as fitness monitoring for cardiac rehabilitation patients. Further more, activity classification algorithm used only seven features to shows classification into five different classes with accuracy of 98% in real time. Also, meal tracking module is designed to support the cardiac patients with timely feedback and notifications about their dietary routine.