Privacy-Aware Remote Mobile Health and Fitness Monitoring

Caitlin Gruis, Kaidi Du and Yu Xiao

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2017-31
May 5, 2017

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-31.pdf

Chronic health conditions such as heart disease, asthma, cancer, and diabetes account for more than $1.5 trillion of the $2 trillion the United States spends each year on health care. Berkeley Telemonitoring is an ongoing project that seeks to combat the outstanding costs of patients with these diagnoses by reducing hospital readmission rates and unnecessary doctor visits. This is accomplished by developing a set of open-source Android libraries that aim to monitor a patient’s health at a distance. Information such as blood pressure, heart rate, and weight are collected by BLE devices and a smartphone and sent to a server to be analyzed. Feedback can then be sent to both doctors and patients about the health data. Our team improved the current Berkeley Telemonitoring framework by expanding its BLE capabilities, adding privacy features, and building up the server library.

Advisor: Ruzena Bajcsy


BibTeX citation:

@mastersthesis{Gruis:EECS-2017-31,
    Author = {Gruis, Caitlin and Du, Kaidi and Xiao, Yu},
    Title = {Privacy-Aware Remote Mobile Health and Fitness Monitoring},
    School = {EECS Department, University of California, Berkeley},
    Year = {2017},
    Month = {May},
    URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-31.html},
    Number = {UCB/EECS-2017-31},
    Abstract = {Chronic health conditions such as heart disease, asthma, cancer, and diabetes account for more than $1.5 trillion of the $2 trillion the United States spends each year on health care. Berkeley Telemonitoring is an ongoing project that seeks to combat the outstanding costs of patients with these diagnoses by reducing hospital readmission rates and unnecessary doctor visits. This is accomplished by developing a set of open-source Android libraries that aim to monitor a patient’s health at a distance. Information such as blood pressure, heart rate, and weight are collected by BLE devices and a smartphone and sent to a server to be analyzed. Feedback can then be sent to both doctors and patients about the health data. Our team improved the current Berkeley Telemonitoring framework by expanding its BLE capabilities, adding privacy features, and building up the server library.}
}

EndNote citation:

%0 Thesis
%A Gruis, Caitlin
%A Du, Kaidi
%A Xiao, Yu
%T Privacy-Aware Remote Mobile Health and Fitness Monitoring
%I EECS Department, University of California, Berkeley
%D 2017
%8 May 5
%@ UCB/EECS-2017-31
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-31.html
%F Gruis:EECS-2017-31