• Title/Summary/Keyword: Smartphone healthcare application

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Influencing Factors for the Adoption of Smartphone Healthcare Application (스마트폰 헬스케어 애플리케이션 수용을 위한 주요 영향요인)

  • Wang, Bo-Ram;Park, Ji-Yun;Choi, In-Young
    • The Journal of the Korea Contents Association
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    • v.11 no.10
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    • pp.396-404
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    • 2011
  • With increasing of smartphone users various smartphone studies have been carried out. The purpose of this paper is to examine the factors influencing the usage intention of smartphone healthcare application. The influencing factors found from literature reviews on Technology Acceptance Model and the diffusion of innovations theory are user interface design, self-efficacy, innovativeness, and entertainment. Survey is conducted to 220 people in Seoul metropolitan area. The survey results are analyzed regarding the difference for the intention of healthcare application in accordance with respondents' demographic and application usage characteristics. We also examine the difference among four influencing factors by users and non-users. As a result there are significant differences in self-efficacy and innovativeness. This gives some implications to application developers: the system should be easy to use and provide new and useful health contents that can attract early-adopters' attention in order to increase the number of application users.

Development of Smartphone Application to Calculate Calory using Motion Recognition on the iOS (iOS 스마트폰 환경에서 모션인식을 통한 칼로리 계산 헬스 케어 어플리케이션 서비스 개발)

  • Lim, Dae-whan;Kim, Hyun-soo;Song, Teuk-seob
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.627-628
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    • 2013
  • Recently, many people interested in health care moreover, smart devices have been used widly areas. Hence there are many application for smartphone. In this paper, we will introduce some of applications which related with healthcare. We will introduce our application that caluate calory to consume using motion recognition using various smartphone sensors.

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Design and Development of Health Care Application under iOS Environment (iOS환경에서 헬스케어를 위한 어플리케이션 설계 및 구현)

  • Im, Dae-Hwan;Kim, Hyun-Su;Song, Teuk-Seob
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.642-643
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    • 2013
  • Recently there are many smartphone applications. People who live in these days interest in health but there are not many smartphone applications that deal with healthcare. In this work, we will introduce healthcare application which introduce exercise methods and user can be seen their consuming calories and eating calories using calender.

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Implementation of Patient Monitoring System based on Mobile Healthcare (모바일 헬스케어 기반의 환자 모니터링 시스템 구현)

  • Kim, Kyoung-Mok
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.12
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    • pp.1-10
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    • 2012
  • In this paper, we propose an patient monitoring system which is suitable for mobile healthcare system. The mobile healthcare system is using portable device such as smartphone and it consists of small computing device. The mobile healthcare system is carry out same performance with desktop computer. We designed medical message structure based on TinyOS to transmit patient's biometric data on the smartphone of medical team, patient and family over the mobile carrier environment, and ported successfully in HBE-Ubi-ZigbeX using NesC. And We confirmed reliable transmission of biometric data on the smartphone by implementing the Android OS based patient information monitoring application to check the status of patient for medical team, patient and family.

Differences on Satisfaction of Healthcare Applications by Smartphone Users' Characteristics (스마트폰 사용자 특성에 따른 헬스케어 애플리케이션 만족도 차이)

  • Shim, Hun;Kim, Yu-Jeong;Park, Mijeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.410-419
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    • 2016
  • This study examined the satisfaction difference in the aspects of awareness, information quality, and availability in healthcare applications according to smartphone user's characteristics. Data collection was conducted between September 17th and September 21st 2014 on the 193 people who had used healthcare applications, and the data collected were analyzed with descriptive statistics, t-test, One-way ANOVA, and Kruskal-Wallis test using SPSS WIN 20.0. Differences in satisfaction of healthcare application were observed according to the general characteristics, and according to age, education level, and income, as well as for healthcare application use characteristics, according to operation system, total use period, the number of installed healthcare applications, the sources of main information, use frequency, and reasons of no use. To establish strategies for the effective spread of mobile healthcare and development and distribution of healthcare applications, it will be necessary to confirm smartphone users' characteristics and it is important to reflect them in the strategies. In addition, it is necessary to develop and implement a range of strategies to ceaselessly induce the users' motives of use and to improve their degree of satisfaction to secure the constant use of developed health care applications.

Fall Detection System using Smartphone for Mobile Healthcare (모바일 헬스케어 지원을 위한 스마트폰을 이용한 낙상 감지 시스템)

  • Jeong, Pil-Seong;Cho, Yang-Hyun
    • Journal of Information Technology Services
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    • v.12 no.4
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    • pp.435-447
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    • 2013
  • If we use a smartphone to analyze and detect falling, it is a huge advantage that the person with a sensor attached to one's body is free from awareness of difference and limitation of space, unlike attaching sensors on certain fixed areas. In this paper, we suggested effective posture analysis of smartphone users, and fall detecting system. Suggested algorithm enables to detect falling accurately by using the fact that instantaneous change of acceleration sensor is different according to user's posture. Since mobile applications working on smart phones are low in compatibility according to mobile platforms, it is a constraint that new development is needed which is suitable for sensor equipment's characteristics. In this paper, we suggested posture analysis algorithm using smartphones to solve the problems related to user's inconvenience and limitation of development according to sensor equipment's characteristics. Also, we developed fall detection system with the suggested algorithm, using hybrid mobile application which is not limited to platform.

Development of a mobile healthcare application based on tongue diagnosis (설진 기반 모바일 건강관리 애플리케이션 개발)

  • Kim, Jihye;So, Jiho;Choi, Woosu;Kim, Keun-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.4
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    • pp.65-72
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    • 2016
  • A mobile healthcare application is a healthcare software application designed to run on mobile devices such as smartphone and tablet computers. Mobile healthcare applications have enormous potential for monitoring and care everyday living of patient with chronic disease. In fact, mobile healthcare applications are found to be active in various fields. However, the development is rarely done in Korean medicine field. The aim of this study was to develop the healthcare application based on the tongue diagnosis. The process included planning, designing, programming, and revising. Through a pilot study, the application was found the improvement requirement, and to be usable in the real-life settings.

Healthcare Application Modeling Using Smartphone (스마트폰을 이용한 헬스케어 스케쥴링 애플리케이션)

  • Lee, Seung-Ho;Lim, Myung-Jae;Lee, Ki-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.4
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    • pp.35-40
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    • 2010
  • Recently, The medical services make use mobile healthcare system to transmit patient information on wireless environment. But It is difficult to satisfied for specified patient to send message, and it's not sufficient healthcare system to help regular treatment for example a diabetic or a pregnant woman. Thus, this paper proposes an healthcare scheduling application which manages a pregnant woman pregnant-checking, fetal movement sensing, antenatal training and promotion of health information using networking, data transmission method and application framwork of WPAN concepts.

A Development of Healthcare Monitoring System Based on Internet of Things Effective

  • KIM, Song-Eun;MUN, Ji-Hui;KIM, Kyoung-Sook;KANG, Min-Soo
    • Korean Journal of Artificial Intelligence
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    • v.8 no.1
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    • pp.1-6
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    • 2020
  • The Recently there has been a growing interest in health care due to the COVID-19 situation. In this paper, we intend to develop a healthcare monitoring system to provide users with smart healthcare systems in line with the healthcare 3.0 era. The system consists of a wireless network between various sensors, Android smartphones, and OLEDs using Bluetooth, and through this, a health care monitoring system capable of collecting user's biometric information and managing health by receiving data values of sensors connected to Arduino. In conclusion, the user's BPM value was calculated using the heart rate sensor, and the exercise intensity can be adjusted through this. In addition, a step derivation algorithm is implemented using an acceleration sensor, and calorie consumption can be measured using the step and weight values. As such, the heart rate, step count, calorie consumption data can be transmitted to a smartphone application through a Bluetooth module and output, and can be output to an OLED for users who are not easy to access the smartphone. This healthcare monitoring system can be applied to various groups and technologies.

Smart Device based ECG Sensing IoT Applications (스마트 디바이스 기반 ECG 감지 IoT 응용 서비스에 관한 연구)

  • Mariappan, Vinayagam;Lee, Seungyoun;Lee, Junghoon;Lee, Juyoung;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • v.11 no.3
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    • pp.18-23
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    • 2016
  • Internet of things (IoT) is revolutionizing in the patient-Centered medical monitoring and management by authorizing the Smartphone application and data analysis with medical centers. The network connectivity is basic requirement to collect the observed human beings' health information from Smartphone to monitor the health from IoT medical devices in personal healthcare. The IoT environment built in Smartphone is very effective and does not demand infrastructure. This paper presents the smart phone deployed personal IoT architecture for Non-Invasive ECG Capturing. The adaptable IoT medical device cum Gateway is used for personal healthcare with big data storage on cloud configuration. In this approach, the Smartphone camera based imaging technique used to extract the personal ECG waveform and forward it to the cloud based big data storage connectivity using IoT architecture. Elaborated algorithm allows for efficient ECG registration directly from face image captured from Smartphone or Tablet camera. The profound technique may have an exceptional value in monitoring personal healthcare after adequate enhancements are introduced.