Transmitting/Receiving of Standard Health Data Using Bluetooth HDP on the Android Platform

박영진,; 조희섭,; 손종욱,

doi:10.7840/kics.2013.38c.5.464

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…In the pursuit of a healthier life, there has been growing interest in and demand for U-Healthcare services [1,2]. The use of high-performance smartphones has become widespread worldwide and, consequently, numerous proposals related to mobile healthcare services have recently been made in the literature [3][4][5]. Mobile healthcare consists of technology of digital communication over cellular networks.…”

Section: Introductionmentioning

confidence: 99%

A smartphone‐based U‐Healthcare system for real‐time monitoring of acute myocardial infarction

Jung

Lee

et al. 2015

Int J Communication

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In recent years, medical service has been evolving from systems designed around centralized hospitals to Ubiquitous Healthcare (U-Healthcare). U-Healthcare system can facilitate real-time monitoring of patient states, and can provide medical checkups and management whenever and wherever the medical staff deems necessary. U-Healthcare services can provide chronic condition monitoring in the early stages of diseases and help execute decisive medical action in emergencies. However, thus far, the application of U-Healthcare systems has been limited to diseases such as obesity, diabetes, etc. Acute myocardial infarction (AMI) is among the most critical chronic diseases and requires early detection and treatment. In this paper, we propose an AMI diagnostic software technique and protocol that can support real-time communication between the patient and medical personnel. Our monitoring and diagnostic system has been developed using a protocol based on ISO/IEEE 11073. When data is transferred from the patient's smartphone to a server in hospital, the medical personnel consult the patient's biosensor data to determine the status of the relevant disease and provide appropriate medical service. The relevant information is sent back to the patient's smartphone through a wireless network, and patients can view their data in graphical format through their smartphone. Figure 3 shows the network structure of our proposed AMI U-Healthcare system. We apply the following technologies in the AMI detection system: (i) A microneedle for blood sample extraction [23], (ii) a flow-through hole layer and a microfluidic layer to separate serum in the blood sample, (iii) three-dimensional (3D) bio-electrical sensors to detect AMI cardiac markers (cardiac troponin T (cTnT) and I (cTnI), creatine kinase MB (CK-MB) isoenzyme, and myoglobin), and (iv) signal processing circuits [24,25]. A smartphone is an ideal device for U-Healthcare communication for the following reasons: (i) Most people tend to keep their smartphone within an accessible distance; (ii) one can use smartphones to communicate practically anywhere, and (iii) smartphones are sufficiently powerful to perform a number of complex tasks.We designed an Android-based application to control our AMI detection device and collect AMI cardiac marker data. This application enables a patient, or a hospital that needs a patient's medical information, to review their personal information, AMI prognostic information, and information regarding the relevant medical personnel. The patient's cardiac marker data, along with their personal information and diagnostic history, are stored on a server. The data is accessed by medical personnel using a client software [26]. The application transmits the patient's cardiac marker data to a hospital server over third-generation (3G) or Wi-Fi infrastructure [27]. The AMI Detection Device is equipped with three sets of replaceable cardiac marker detection sensors [25,28]. Cardiac marker data measured by these sensors can be transferred to a server at any sched...

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Section: Introductionmentioning

confidence: 99%

A smartphone‐based U‐Healthcare system for real‐time monitoring of acute myocardial infarction

Jung

Lee

et al. 2015

Int J Communication

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“…As international standards for health information exchange are developed, a number of studies have been conducted in Korea to develop the ubiquitous computing environment that links with personal health devices to which various international standards are applied [ 15 , 16 , 17 , 18 , 19 ]. However, previous domestic studies [ 17 , 19 ] mostly conducted simulations at laboratories to develop several modules to confirm interoperability with personal health devices excluding glucometers or to verify the applications developed.…”

Section: Introductionmentioning

confidence: 99%

Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD

2015

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ObjectivesThe objectives of this research were to develop and evaluate a cell phone application based on the standard protocol for personal health devices and the standard information model for personal health records to support effective blood glucose management and standardized service for patients with diabetes.MethodsAn application was developed for Android 4.0.3. In addition, an IEEE 11073 Manager, Medical Device Encoding Rule, and Bluetooth Health Device Profile Connector were developed for standardized health communication with a glucometer, and a Continuity of Care Document (CCD) Composer and CCD Parser were developed for CCD document exchange. The developed application was evaluated by five healthcare professionals and 87 users through a questionnaire comprising the following variables: usage intention, effort expectancy, social influence, facilitating condition, perceived risk, and voluntariness.ResultsAs a result of the evaluation of usability, it was confirmed that the developed application is useful for blood glucose self-monitoring by diabetic patients. In particular, the healthcare professionals stated their own views that the application is useful to observe the trends in blood glucose change through the automatic function which records a blood glucose level measured using Bluetooth function, and the function which checks accumulated records of blood glucose levels. Also, a result of the evaluation of usage intention was 3.52 ± 0.42 out of 5 points.ConclusionsThe application developed by our research team was confirmed by the verification of healthcare professionals that accurate feedback can be provided to healthcare professionals during the management of diabetic patients or education for glucose management.

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Hierarchical Visualization of Cloud-Based Social Network Service Using Fuzzy

Park

Kim

Lee

2013

The Journal of Korea Information and Communications Society

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Recently, the visualization method of social network service have been only focusing on presentation of visualizing network data, which the methods do not consider an efficient processing speed and computational complexity for increasing at the ratio of arithmetical of a big data regarding social networks. This paper proposes a cloud based on visualization method to visualize a user focused hierarchy relationship between user's nodes on social network. The proposed method can intuitionally understand the user's social relationship since the method uses fuzzy to represent a hierarchical relationship of user nodes of social network. It also can easily identify a key role relationship of users on social network. In addition, the method uses hadoop and hive based on cloud for distributed parallel processing of visualization algorithm, which it can expedite the big data of social network.

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Transmitting/Receiving of Standard Health Data Using Bluetooth HDP on the Android Platform

Cited by 6 publications

References 2 publications

A smartphone‐based U‐Healthcare system for real‐time monitoring of acute myocardial infarction

A smartphone‐based U‐Healthcare system for real‐time monitoring of acute myocardial infarction

Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD

Hierarchical Visualization of Cloud-Based Social Network Service Using Fuzzy

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