research-article

Design of an Early Warning System for Patients with Cardiovascular Diseases Under Mobile Environment

Authors:

Lijun SunAuthors Info & Claims

Procedia Computer Science, Volume 96, Issue C

Pages 819 - 825

https://doi.org/10.1016/j.procs.2016.08.258

Published: 01 October 2016 Publication History

Abstract

We proposed a framework for early warning of Cardiovascular diseases (CVDs) under mobile environment, which is a real-time and personalized problem involving various complex knowledge. Specially, the principles and methods for early warning are proposed, as well as the selection and collection of key indicators. The system integrates patients and families, physicians, hospitals and community clinics, which consists of two tiers. The mobile device tier could detect the abnormal situations of the patients, and the service center will discover and refine the knowledge of personal situation which could increase the effect and efficiency of CVD's early warning.

References

[1]

L. Sundell, V. Salomaa, E. Vartiainen, Increased stroke risk is related to a binge-drinking habit, Stoke., 39 (2008) 3179-3184.

[2]

P. Verdecchia, F. Angeli, G. Mazzotta, Day-Night Dip and Early-Morning Surge in Blood Pressure in Hypertension, Hypertension., 60 (2012) 34-42.

[3]

J. Ishikawa, S. Hoshide, K. Eguchi, Nighttime Home Blood Pressure and the Risk of Hypertensive Target Organ Damage, Hypertension., 60 (2012) 921-928.

[4]

Q. Zeng, X. Sun, H. Wu, Relationship between body fat composition and cardiovascular disease risk factors: Bioelectrical impedance analysisJ, Journal of Clinical Rehabilitative Tissue Engineering Research, 12 (2008) 2473-2476.

[5]

M. Wang, D. Zhao, W. Wang, Serum triglyceride is an independent risk factor for acute coronary heart disease events in 35-64 years old Chinese-Chinese Multi-provincial Cohort StudyJ, Chinese Journal of Cardiology., 36 (2008) 940-943.

[6]

Shaposhnikov, D., Revich, B., Gurfinkel, Y., et al. The influence of meteorological and geomagnetic factors on acute myocardial infarction and brain stroke in Moscow, Russia. International Journal of Biometeorology. 2013, DOI10.1007/s00484-013-0660-0.

[7]

S. Zheng, M. Wang, S. Wang, Short-Term Effects of Gaseous Pollutants and Particulate Matter on Daily Hospital Admissions for Cardio-Cerebrovascular Disease in Lanzhou: Evidence from a Heavily Polluted City in China, International Journal of Environmental Research and Public Health., 10 (2013) 462-477.

[8]

H. Yue, S. Shen, Advance in the relationship between respiratory and cardio-cerebrovascular diseases and meteorological conditionsJ, Journal of Meteorology and Environment., 25 (2009) 57-61.

[9]

Yang, J. The relationship between the development of mental and behavioral factors and cardiovascular diseaseJ. Chinese Journal Of Cardiovascular Rehabiltation Medicine. 2003, 12(z1):493-496. (in Chinese).

[10]

Hong, G.Y., Fong, A.C.M., Fong, B. .Ubiquitous Healthcare for environmentally linked disease syndromic surveillanceC. e-Health Networking Applications and Services (Healthcom), 2011 13th IEEE International Conference on 13-15 June 2011. 2011,78-81.

[11]

S. Charbonnier, S. Gentil, On-line adaptive trend extraction of multiple physiological signals for alarm filtering in intensive care unitsJ, International Journal of Adaptive Control and Signal Processing., 24 (2010) 382-408.

[12]

A. Zhou, F. Cao, W. Qian, Tracking clusters in evolving data streams over sliding windowsJ, Knowledge and Information Systems, 15 (2008) 181-214.

Digital Library

[13]

M. Datar, A. Gionis, P. Indyk, Maintaining Stream Statistics over Sliding WindowsJ, SIAM Journal on Computing, 31 (2012) 1794-1813.

Digital Library

[14]

Chandola, V., Banerjee, A., Kumar, V. Anomaly detection: A surveyJ. ACM Comput Surv. 2009.

Digital Library

[15]

Zhang,Y., Yi,X., He,J., et al. Real-time and Self- Adaptive Stream Data Analyser for Intensive Care Management. ARC Linkage Project (LP100200682).2010-2013.

Cited By

Albahri AAlwan JTaha ZIsmail SHamid RZaidan AAlbahri OZaidan BAlamoodi AAlsalem M(2021)IoT-based telemedicine for disease prevention and health promotionJournal of Network and Computer Applications10.1016/j.jnca.2020.102873173:COnline publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1016/j.jnca.2020.102873

Design of an Early Warning System for Patients with Cardiovascular Diseases Under Mobile Environment
1. Applied computing
  1. Life and medical sciences
  2. Operations research

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Published In

cover image Procedia Computer Science

Procedia Computer Science Volume 96, Issue C

October 2016

1809 pages

ISSN:1877-0509

EISSN:1877-0509

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Copyright © The Authors.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 October 2016

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Cited By

Albahri AAlwan JTaha ZIsmail SHamid RZaidan AAlbahri OZaidan BAlamoodi AAlsalem M(2021)IoT-based telemedicine for disease prevention and health promotionJournal of Network and Computer Applications10.1016/j.jnca.2020.102873173:COnline publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1016/j.jnca.2020.102873

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