Mobile cloud computing is an emerging field that is gaining popularity across borders at a rapid pace. Similarly, the field of health informatics is also considered as an extremely important field. This work observes the collaboration between these two fields to solve the traditional problem of extracting Electrocardiogram signals from trace reports and then performing analysis. The developed system has two front ends, the first dedicated for the user to perform the photographing of the trace report. Once the photographing is complete, mobile computing is used to extract the signal. Once the signal is extracted, it is uploaded into the server and further analysis is performed on the signal in the cloud. Once this is done, the second interface, intended for the use of the physician, can download and view the trace from the cloud. The data is securely held using a password-based authentication method. The system presented here is one of the first attempts at delivering the total solution, and after further upgrades, it will be possible to deploy the system in a commercial setting.

Liu Y., Abbasi A.A., Aghaei A., Abbasi A., Mosavi A., Shamshirband S., et al. (2020). A Mobile Cloud-Based eHealth Scheme. COMPUTERS, MATERIALS & CONTINUA, 63(1), 31-39 [10.32604/cmc.2020.07708].

A Mobile Cloud-Based eHealth Scheme

Abbasi A. A.;Abbasi A.;
2020-01-01

Abstract

Mobile cloud computing is an emerging field that is gaining popularity across borders at a rapid pace. Similarly, the field of health informatics is also considered as an extremely important field. This work observes the collaboration between these two fields to solve the traditional problem of extracting Electrocardiogram signals from trace reports and then performing analysis. The developed system has two front ends, the first dedicated for the user to perform the photographing of the trace report. Once the photographing is complete, mobile computing is used to extract the signal. Once the signal is extracted, it is uploaded into the server and further analysis is performed on the signal in the cloud. Once this is done, the second interface, intended for the use of the physician, can download and view the trace from the cloud. The data is securely held using a password-based authentication method. The system presented here is one of the first attempts at delivering the total solution, and after further upgrades, it will be possible to deploy the system in a commercial setting.
2020
Liu Y., Abbasi A.A., Aghaei A., Abbasi A., Mosavi A., Shamshirband S., et al. (2020). A Mobile Cloud-Based eHealth Scheme. COMPUTERS, MATERIALS & CONTINUA, 63(1), 31-39 [10.32604/cmc.2020.07708].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/638219
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