An Innovative Platform for Person-Centric Health and Wellness Support

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• 作者：Oresti Banos (20)
  Muhammad Bilal Amin (20)
  Wajahat Ali Khan (20)
  Muhammad Afzel (20)
  Mahmood Ahmad (20)
  Maqbool Ali (20)
  Taqdir Ali (20)
  Rahman Ali (20)
  Muhammad Bilal (20)
  Manhyung Han (20)
  Jamil Hussain (20)
  Maqbool Hussain (20)
  Shujaat Hussain (20)
  Tae Ho Hur (20)
  Jae Hun Bang (20)
  Thien Huynh-The (20)
  Muhammad Idris (20)
  Dong Wook Kang (20)
  Sang Beom Park (20)
  Hameed Siddiqui (20)
  Le-Ba Vui (20)
  Muhammad Fahim (21)
  Asad Masood Khattak (22)
  Byeong Ho Kang (23)
  Sungyoung Lee (20)
  
  20. Department of Computer Engineering ; Kyung Hee University ; Korea
  21. Department of Computer Engineering ; Istanbul Sabahattin Zaim University ; Turkey
  22. College of Technological Innovation ; Zayed University ; UAE
  23. School of Computing and Information Systems ; University of Tasmania ; Australia
  
• 关键词：Human behavior ; Context ; awareness ; Big data ; Big information ; Big knowledge ; Cloud computing ; Quantified self ; Digital health ; Health devices ; Social networks ; User interface ; User experience ; Knowledge bases ; Personalized recommendations
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9044
• 期：1
• 页码：131-140
• 全文大小：294 KB
• 参考文献：1. Fitbit Flex (2014), http://www.fitbit.com/flex (accessed: October 22, 2014)
  2. Jawbone Up (2014), https://jawbone.com/up (accessed: October 22, 2014)
  3. Mining Minds Project (2014), http://www.miningminds.re.kr/
  4. Withings Pulse (2014), http://www.withings.com/es/withings-pulse.html (accessed: October 22, 2014)
  5. Banos, O., Garcia, R., Holgado-Terriza, J.A., Damas, M., Pomares, H., Rojas, I., Saez, A., Villalonga, C. mHealthDroid: A novel framework for agile development of mobile health applications. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. eds. (2014) Ambient Assisted Living and Daily Activities. Springer, Heidelberg, pp. 91-98 CrossRef
  6. Banos, O., Villalonga, C., Damas, M., Gloesekoetter, P., Pomares, H., Rojas, I. (2014) Physiodroid: Combining wearable health sensors and mobile devices for a ubiquitous, continuous, and personal monitoring. The Scientific World Journal 2014: pp. 1-11 CrossRef
  7. Fortino, G., Giannantonio, R., Gravina, R., Kuryloski, P., Jafari, R. (2013) Enabling effective programming and flexible management of efficient body sensor network applications. IEEE Transactions on Human-Machine Systems 43: pp. 115-133 CrossRef
  8. Gaggioli, A., Pioggia, G., Tartarisco, G., Baldus, G., Corda, D., Cipresso, P., Riva, G. (2013) A mobile data collection platform for mental health research. Personal Ubiquitous Comput. 17: pp. 241-251 CrossRef
  9. Oresko, J.J., Jin, Z., Cheng, J., Huang, S., Sun, Y., Duschl, H., Cheng, A.C. (2010) A wearable smartphone-based platform for real-time cardiovascular disease detection via electrocardiogram processing. IEEE Transactions on Information Technology in Biomedicine 14: pp. 734-740 CrossRef
  10. Patel, S., Mancinelli, C., Healey, J., Moy, M., Bonato, P.: Using wearable sensors to monitor physical activities of patients with copd: A comparison of classifier performance. In: Proceedings of 6th International Workshop on Wearable and Implantable Body Sensor Networks, Washington, DC, USA, pp. 234鈥?39 (2009)
  
• 作者单位：Bioinformatics and Biomedical Engineering
• 丛书名：978-3-319-16479-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Modern digital technologies are paving the path to a revolutionary new concept of health and wellness care. Nowadays, many new solutions are being released and put at the reach of most consumers for promoting their health and wellness self-management. However, most of these applications are of very limited use, arguable accuracy and scarce interoperability with other similar systems. Accordingly, frameworks that may orchestrate, and intelligently leverage, all the data, information and knowledge generated through these systems are particularly required. This work introduces Mining Minds, an innovative framework that builds on some of the most prominent modern digital technologies, such as Big Data, Cloud Computing, and Internet of Things, to enable the provision of personalized healthcare and wellness support. This paper aims at describing the efficient and rational combination and interoperation of these technologies, as well as their integration with current and future personalized health and wellness services and business.