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http://dx.doi.org/10.7840/kics.2013.38C.12.1106

Development of u-Health Care System for Dementia Patients  

Shin, Dong-Min (세종대학교 컴퓨터공학과 멀티미디어 인터넷 연구실)
Shin, Dong-Il (세종대학교 컴퓨터공학과 멀티미디어 인터넷 연구실)
Shin, Dong-Kyoo (세종대학교 컴퓨터공학과 멀티미디어 인터넷 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38C, no.12, 2013 , pp. 1106-1113 More about this Journal
Abstract
For patients who have senile mental disorder such as dementia, quantity of excercise and amount of sunlight are important clue for dose and the treatment. Therefore, monitoring health information of daily life is necessary for patients' safety and healthy life. Portable & wearable sensor device and server configuration monitoring data are needed to provide these services for patients. Watch-type device(smart watch) which patients wear and server system are developed in this paper. Smart watch developed includes GPS, accelerometer and illumination sensor, and can obtain real time health information by measuring the position of patients, quantity of exercise and amount of sunlight. Server system includes the sensor data analysis algorithm and web server that doctor and protector can monitor through sensor data acquired from smart watch. The proposed data analysis algorithm acquires quantity of exercise information and detects step count in patients' motion acquired from acceleration sensor and to verify this, the three cases with fast pace, slow pace, and walking pace show 96% of the experimental result. If developed u-Healthcare System for dementia patients is applied, more high-quality medical service can be provided to patients.
Keywords
3-axis accelerometer; u-Health Care; Step number detection algorithm;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Company Keruve, Keruve(2010), retrieved Nov., 24, 11, 2013, from www.keruve.com.
2 Gang-nam Gu, u-safe Gang-nam(2010), retrieved Nov., 24, 11, 2013, from www.gangnam.go.kr.
3 KT, I-Search(2009), retrieved Nov., 24, 11, 2013, from www.kt.com.
4 J. Yang, "Toward physical activity diary: motion recognition using simple acceleration features with mobile phones," in Proc. Int. Workshop Interactive Multimedia Consumer Electron. (IMCE '09), pp. 1-10, Beijing, China, Oct. 2009.
5 L. Bao, and S. S. Intille, "Activity recognition from user-annotated acceleration data," Lecture Notes Comput. Sci., vol. 3001, pp. 1-17, April. 2004.
6 J. Baek, G. Lee, W. Park, and B.-J. Yun, "Accelerometer signal processing for user activity detection," Lecture Notes Comput. Sci., vol. 3215, pp. 610-617, Sept. 2004.
7 N. Ravi, N. Dandekar, P. Mysore, and M. L. Littman, "Activity recognition from accelerometer data," in Proc. Innovative Applicat. Artificial Intell. (IAAI), vol. 5, pp. 1541-1546, Pittsburgh, U.S.A., July 2005.
8 H.-M. Yoo, J.-W. Suh, E.-J. Cha, and H.-D. Bae, "Walking number detection algorithm using a 3-axial accelerometer sensor and activity monitoring," J. Korea Contents Assoc. (KOCON), vol. 8, no. 8, pp. 253-260, Aug. 2008.   과학기술학회마을   DOI   ScienceOn
9 S. H. Shin and C. G. Park, "Adaptive step length estimation algorithm using low-cost MEMS inertial sensors," in Proc. IEEE Sensors Applicat. Symp. (SAS), pp. 1-5, San Diego, U.S.A., Feb. 2007.
10 Y. H. Noh, S. Y. Ye, and D. U Jeong, "System implementation and algorithm development for classification of the activity states using 3 axial accelerometer," J. Korea Inst. Elect. Electron. Material Eng. (KIEEME), vol. 24, no. 1, pp. 81-88, Jan. 2011.   과학기술학회마을   DOI   ScienceOn
11 Ministry of Health & Welfare, Country dementia care comprehensive plan, July 2012.
12 J. Uhm and S.-H. Park, "Application of the modified real-time medical information standard for U-healthcare systems by using HL7 and modified MFER(TS-MFER)," J. Korea Inform. Commun. Soc. (KICS), vol. 37C, no. 8, pp. 680-689, Aug. 2012.   과학기술학회마을   DOI   ScienceOn
13 M. Choi, J. Lee, and I. Joe, "Design and implementation of the aging-friendly telemedicine system based on CPS for silver town," J. Korea Inform. Commun. Soc. (KICS), vol. 37C, no. 8, pp. 690-696, Aug. 2012.   과학기술학회마을   DOI   ScienceOn
14 G. E. Mead, W. Morley, P. Campbell, C. A. Greig, M. McMurdo, and D. A. Lawlor, "Exercise for depression," Cochrane Database Syst. Rev., vol. 8, no. 3, Article no. CD004366, July 2009.
15 H. Y. Moon, et al., "Macrophage migration inhibitory factor mediates the antidepressant actions of voluntary exercise," Proc. Nat. Academy Sci. U.S.A., vol. 109, no. 32, pp. 13094-13099, June 2012.   DOI