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Development of Smart Healthcare Wear System for Acquiring Vital Signs and Monitoring Personal Health
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 Title & Authors
Development of Smart Healthcare Wear System for Acquiring Vital Signs and Monitoring Personal Health
Joo, Moon-Il; Ko, Dong-Hee; Kim, Hee-Cheol;
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 Abstract
Recently, the wearable computing technology with bio-sensors has been rapidly developed and utilized in various areas such as personal health, care-giving for senior citizens who live alone, and sports activities. In particular, the wearable computing equipment to measure vital signs by means of digital yarns and bio sensors is noticeable. The wearable computing devices help users monitor and manage their health in their daily lives through the customized healthcare service. In this paper, we suggest a system for monitoring and analyzing vital signs utilizing smart healthcare clothing with bio-sensors. Vital signs that can be continuously acquired from the clothing is well-known as unstructured data. The amount of data is huge, and they are perceived as the big data. Vital sings are stored by Hadoop Distributed File System(HDFS), and one can build data warehouse for analyzing them in HDFS. We provide health monitoring system based on vital sings that are acquired by biosensors in smart healthcare clothing. We implemented a big data platform which provides health monitoring service to visualize and monitor clinical information and physical activities performed by the users.
 Keywords
Big Data;Monitoring;Smart Wear;u-Healthcare;Wearable Computing;
 Language
Korean
 Cited by
1.
광용적맥파의 신호 패턴을 이용한 호흡 검출 기법,박문수;김정구;

한국멀티미디어학회논문지, 2016. vol.19. 11, pp.1862-1870 crossref(new window)
 References
1.
J.S. Kim, K. Lee, C.S. Yoo, T.W. Kim, S.H. Yi, and H.C. Kim, “Wearable Physiologic Monitoring System in Health Promotion,” Korean Journal of Health Promotion, Vol. 11, No. 1, pp. 2234-2141, 2011.

2.
M. Steve, “Wearable Computing: A First Step Toward Personal Imaging,” Computer, Vol. 30, No. 2, pp. 25-32, 1997. crossref(new window)

3.
F. Axisa, P.M. Schmitt, C. Gehin, G. Delhomme, E. Mcadams, and A. Dittmar, “Flexible Technologies and Smart Clothing for Citizen Medicine, Home Healthcare, and Disease Prevention,” IEEE Transactions on Information Technology in Biomedicine, Vol. 9, No. 3, pp. 325-336, 2005. crossref(new window)

4.
E.J. Ko, H.J. Lee, and J.W. Lee, "Ontology-Based Context-Aware Service Engine for U-HealthCare," Proceeding of Advanced Communication Technology 2006 8th International Conference, pp. 632-637, 2006.

5.
H.M. Park, B.C. Jeon, W.K. Park, S.H. Park and S.C. Lee, “Smart-clothes System for Realtime Privacy mnitoring on Smartphones,“ Journal of Korea Multimedia Society, Vol. 16, No. 8, pp. 962-971, 2013. crossref(new window)

6.
S.H. Kim, D.W. Ryoo, and C. Bae, "U-healthcare System Using Smart Headband," Proceeding of 30th Annual International IEEE EMBS Conference, pp. 1557-1560, 2008.

7.
S.J. Oh and C.W Lee, "u-Healthcare Sensor Grid Gateway for Connecting Wireless Sensor Network and Grid Network," Proceeding of International Conference on Advanced Communication Technology, pp. 827-831, 2008.

8.
G.S. Chung, J.S. An, D.H. Lee, and C.S. Hwang, "A Study on the Digital Yarn for the High Speed Data Communication," Proceeding of The 2nd International Conference on Clothing and Textiles, pp. 207-210, 2006.

9.
M. Saecker and V. Markl, "Big Data Analytics on Modern Hardware Architectures: A Technology Survey," Proceeding of European Business Intelligence Summer School. pp. 125-149, 2012.

10.
S.C. Yoon, H. Namgung, S.K. Yang, and H.K.Kim, "Big Data Driven Semantic Web Technology Trends large," The Korean Institute of Communications and Information Sciences, Vol, 29, No. 11, pp. 24-29, 2013.

11.
S. Son and C. K. Park, "Design of Big Data Preference Analysis System," Journal of Korea Multimedia Society, Vol. 17, No. 11, pp. 1286-1295, 2014 crossref(new window)

12.
J.S. Ward and A. Barker, Undefined By Data: A Survey of Big Data Definitions, The Computing Research Repository, 2013.

13.
H. Kim, T. Kim, M. Joo, S. Yi, C. Yoo, K. Lee, J. Kim, and G. Chung, “Design of a Calorie Tracker Utilizing Heart Rate Variability Obtained by a Nanofiber Technique-based Wellness Wear System,” Journal of Applied Mathematics and Information Science, Vol. 5, No. 2, pp. 70-73, 2011.

14.
M. Chen, S. Gonzalez, A. Vasilakos, H. Cao, and V.C.M. Leung, “Body Area Networks: A Survey,” Mobile Networks and Applications, Vol. 16, No. 2, pp. 171-193, 2011. crossref(new window)

15.
G. Chung, J. An, D. Lee, and C. Hwang, "A Study on the Digital Yarn for the High Speed Data Communication," Proceeding of The 2nd International Conference on Clothing and Textiles, pp. 207- 210, 2006.

16.
S.D. Park, A Monitoring and Analysis System of ECG with Severe Motion Artifact, Doctor's Thesis of Hoseo University, 2014.

17.
K.H. Park, Extension of Hadoop Platform for Biometric Data Analysis, Master's Thesis of Inje University, 2014.

18.
SOAP, https://www.w3.org/TR/soap (accessed Jul., 28, 2015).

19.
Apache Hadoop, https://hadoop.apache.org (accessed Jul., 8, 2015).