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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A body sensor network simulation platform for medical applications
AU - Rodrigues Filho, Roberto
AU - Neto, Renato Freitas Bulcao
AU - Sene Junior, Iwens Gervasio
N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2016/6/2
Y1 - 2016/6/2
N2 - Body Sensor Networks (BSN) is an important technology in providing ubiquitous healthcare services. These sensors are capable of supplying medical professionals with data collected from a patient outside the hospital environment. Remotely acquired information has enormous application potential and can assist medical professionals to provide fast and accurate assistance to injured people at accidents sites, minimizing the risk of further complications by reducing delays in the diagnosis process. Despite the great benefits of such applications, there is a gap in the state-of-art techniques that allow the creation and testing of such high-level and critical applications. This paper presents a body sensor network simulation environment as a response to that need, providing a tool that plays a key role in assisting the development of critical healthcare applications through an emulated healthcare-specific hardware, which can be used to test applications in a controlled environment, considering the demands of the medical field.
AB - Body Sensor Networks (BSN) is an important technology in providing ubiquitous healthcare services. These sensors are capable of supplying medical professionals with data collected from a patient outside the hospital environment. Remotely acquired information has enormous application potential and can assist medical professionals to provide fast and accurate assistance to injured people at accidents sites, minimizing the risk of further complications by reducing delays in the diagnosis process. Despite the great benefits of such applications, there is a gap in the state-of-art techniques that allow the creation and testing of such high-level and critical applications. This paper presents a body sensor network simulation environment as a response to that need, providing a tool that plays a key role in assisting the development of critical healthcare applications through an emulated healthcare-specific hardware, which can be used to test applications in a controlled environment, considering the demands of the medical field.
U2 - 10.1109/TLA.2016.7483523
DO - 10.1109/TLA.2016.7483523
M3 - Journal article
VL - 14
SP - 1835
EP - 1841
JO - IEEE Latin America Translations
JF - IEEE Latin America Translations
IS - 4
ER -