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DOI 10.1155/2013/598196

Медицинская библиотека · Computational and mathematical methods in medicine · 2013

Mobile personal health system for ambulatory blood pressure monitoring.

Mena Luis J, Felix Vanessa G, Ostos Rodolfo, Gonzalez Jesus A, Cervantes Armando, Ochoa Armando, Ruiz Carlos, Ramos Roberto, Maestre Gladys E

Клиническое исследованиеСтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

The ARVmobile v1.0 is a multiplatform mobile personal health monitor (PHM) application for ambulatory blood pressure (ABP) monitoring that has the potential to aid in the acquisition and analysis of detailed profile of ABP and heart rate (HR), improve the early detection and intervention of hypertension, and detect potential abnormal BP and HR levels for timely medical feedback. The PHM system consisted of ABP sensor to detect BP and HR signals and smartphone as receiver to collect the transmitted digital data and process them to provide immediate personalized information to the user. Android and Blackberry platforms were developed to detect and alert of potential abnormal values, offer friendly graphical user interface for elderly people, and provide feedback to professional healthcare providers via e-mail. ABP data were obtained from twenty-one healthy individuals (>51 years) to test the utility of the PHM application. The ARVmobile v1.0 was able to reliably receive and process the ABP readings from the volunteers. The preliminary results demonstrate that the ARVmobile 1.0 application could be used to perform a detailed profile of ABP and HR in an ordinary daily life environment, bedsides of estimating potential diagnostic thresholds of abnormal BP variability measured as average real variability.

Для цитирования: Mena Luis J, Felix Vanessa G, Ostos Rodolfo, Gonzalez Jesus A, Cervantes Armando, Ochoa Armando, Ruiz Carlos, Ramos Roberto, Maestre Gladys E. Mobile personal health system for ambulatory blood pressure monitoring.. Computational and mathematical methods in medicine. 2013. DOI: 10.1155/2013/598196.

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