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Personalized Service Model for Sharing Medical
Devices in IoT Health-Platform
Byung Mun Lee
Dept. of Computer Engineering, Gachon University, Korea
Abstract When mobile healthcare devicse are shared within a family or at
public offices, they are primarily used for measuring healthcare data and
checking them temporarily. However, if the devices can recognize the user and
transmit the measured data to a healthcare service platform in real time, it
becomes possible to continuously manage and monitor personal healthcare
information as opposed to being used for temporary purpose at public offices or
hospitals as it is the case today. In particular, use of smart phone or wearable
devices can create opportunities for new services and businesses. Accordingly,
this paper proposed a service model that allows user recognition function and
transmits/manages the measured data to a healthcare service platform when
simple medical devices such as blood pressure meter or weight are used and
shared among many users on IoT-based healthcare service platform. This model
can also be used as technology that allows patients with chronic illness to
perform self-diagnosis with convenience.
Keywords: mHealth, Security, eavesdropping, Bio information
1 Introduction
The growth of ICT technology has fostered the development of various mobile
applications [1]. In particular, various medical and healthcare service applications
such as medical or healthcare information service, a service that measures metabolic
activity and diet and calorie management services have been made available in the
market [2]. In particular, as watch-type or wrist wring-type wearable devices are
linked to mobile devices, customized service models are being introduced today
[3][4]. In addition, as various types of services are being provided on a healthcare
platform, open IoT healthcare platform designed to allow multiple devices to access
the platform is being proposed [5]. Such development is creating a demand for free
sharing of personal healthcare device and, therefore, it has become necessary to
conduct researches on a platform-sharing model [6]. In addition, growth of open IoT
platform has led to research and development of IoT devices with various functions,
creating an opportunity to develop a new service model [6][7][8]. This paper
proposed a personalized healthcare service model that can be used in a family or at
public offices under the structure in which mobile devices, IoT-based medical devices
and IoT platforms are mutually linked.
Advanced Science and Technology Letters Vol.99 (ITCS 2015), pp.180-182
http://dx.doi.org/10.14257/astl.2015.99.44
ISSN: 2287-1233 ASTL Copyright © 2015 SERSC
2 Personalized Service Model for sharing medical device
In the Home in Figure 1, it is assumed that user (a) and (b) share IoT-based glucose
meter. Also, it is assumed that a personal mobile device was used to register the
glucose meter in the IoT platform server for each user to use. User (a) applies his
mobile device to the glucose meter to active measurement process, which starts user
recognition process (①). Then, the glucose meter and the IoT platform server both
execute a transmission process (②) in order to verify if the glucose information of the
user should be transmitted to the server at the medical center. Now, when the glucose
measurement is completed, the measured data is transmitted to the diabetes meter at
the medical office (③).
Fig. 1. Service model of sharing medical device
After the user (a) finishes his measurement, if user (b) wishes to use the same
glucose-meter, (b)'s smart phone is connected to the glucose-meter to activate the
glucose-meter, which recognizes the new connected user again (④). Just like in the
case of (a), the glucose meter and IoT platform server executes mutual transmission
Advanced Science and Technology Letters Vol.99 (ITCS 2015)
Copyright © 2015 SERSC 181
process (⑤) in order to determine if the user's glucose information should be
transmitted to the server at the medical center. Now, when the glucose measurement
is completed, the measured data is sent to the glucose meter at the medical center (⑥).
This means, even if the same medical device is used, the destination of the measured
data is dynamically determined according to the user. Also, even if the user (a) uses
the same type of medical device at public institutions, the data can be made to be sent
to the diabetes-meter at the medical office for appropriate user via user recognition
process. The service model proposed in this paper can provide customized personal
medical service when linked to mobile device, open IoT healthcare platform, and IoT-
based medical devices.
3 Conclusion
This paper proposed a personalized service model that enables free sharing of
personal medical devices in a family or public institutions by linking mobile devices
to IoT-based healthcare device and adopting service routing techniques offered by IoT
platform server. In order to implement such a service model, it is necessary to have
communication protocols and distributed processing among various devices. There
should be further researches on how to allow users to set up service configurations in
mobile devices and dynamically manage services. Also, there is a need to develop a
technique to allow autonomously transfer of data that has been measured according to
the configured service.
References
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Advanced Science and Technology Letters Vol.99 (ITCS 2015)
182 Copyright © 2015 SERSC