TY - JOUR
T1 - A robust remote health monitoring and data processing system for rural area with limited internet access
AU - Pourhomayoun, Mohammad
AU - Yadav, Kartik
AU - Ghasemzadeh, Hassan
AU - Alshurafa, Nabil
AU - Sideris, Costas
AU - Nyamathi, Adeline
AU - Dabiri, Foad
AU - Tseng, Linda
AU - Sarrafzadeh, Majid
N1 - Funding Information:
This study was funded by the National Institute on Mental Health R01MH098728 on 07-23-2013 to Investigators AN, MK, SS.
Publisher Copyright:
© 2017 EAI.
PY - 2017
Y1 - 2017
N2 - Emerging technologies such as Body Sensor Networks (BSN) and Remote Health Monitoring Systems (RHMS) allow for collecting continuous data from patients, providing clinical interventions to improve patients' physical and mental health, and to prevent medically adverse events. Although RHMS have shown promises in reducing healthcare costs and improving quality of care, designing a robust, flexible and portable RHMS that can adequately handle technological and environmental restrictions such as data communication disruptions caused by low-quality infrastructure is by large an open problem. In this paper we present an end-to-end robust RHMS including body area networks for monitoring and management of patients with HIV/AIDS. The proposed system includes an Android application to be installed on mobile devices to collect and preprocess data from patients, a wireless body area network to handle data communication and transmission, and a backend cloud-based server coupled with a NoSQL database and webportal for data visualization and analysis. The proposed system addresses a number of serious challenges in RHMS design including data transmission and synchronization in a body area network with poor network connection (e.g. in a rural area with poor or unavailable internet connection). The proposed system is fully implemented and deployed in a large research study involving 600 women living with HIV/AIDS in rural parts of India. The results demonstrate the effectiveness, reliability, robustness, and accuracy of the proposed RHMS.
AB - Emerging technologies such as Body Sensor Networks (BSN) and Remote Health Monitoring Systems (RHMS) allow for collecting continuous data from patients, providing clinical interventions to improve patients' physical and mental health, and to prevent medically adverse events. Although RHMS have shown promises in reducing healthcare costs and improving quality of care, designing a robust, flexible and portable RHMS that can adequately handle technological and environmental restrictions such as data communication disruptions caused by low-quality infrastructure is by large an open problem. In this paper we present an end-to-end robust RHMS including body area networks for monitoring and management of patients with HIV/AIDS. The proposed system includes an Android application to be installed on mobile devices to collect and preprocess data from patients, a wireless body area network to handle data communication and transmission, and a backend cloud-based server coupled with a NoSQL database and webportal for data visualization and analysis. The proposed system addresses a number of serious challenges in RHMS design including data transmission and synchronization in a body area network with poor network connection (e.g. in a rural area with poor or unavailable internet connection). The proposed system is fully implemented and deployed in a large research study involving 600 women living with HIV/AIDS in rural parts of India. The results demonstrate the effectiveness, reliability, robustness, and accuracy of the proposed RHMS.
KW - AIDS.
KW - Body Area Networks
KW - M-Health
KW - Remote Health Management
KW - Remote Health Monitoring Systems (RHMS)
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U2 - 10.4108/eai.15-12-2016.2267661
DO - 10.4108/eai.15-12-2016.2267661
M3 - Conference article
AN - SCOPUS:85085541693
SN - 2310-3582
JO - BodyNets International Conference on Body Area Networks
JF - BodyNets International Conference on Body Area Networks
T2 - 11th International Conference on Body Area Networks, BODYNETS 2016
Y2 - 15 December 2016 through 16 December 2016
ER -