research-article

A Stroke Detection System Based on Cincinnati Prehospital Stroke Scale

Authors:

Ting-Ying Chien,

Chong-Yi Chen,

Guo-Lun JinAuthors Info & Claims

ICMHI '19: Proceedings of the 3rd International Conference on Medical and Health Informatics

Pages 32 - 35

https://doi.org/10.1145/3340037.3340052

Published: 17 May 2019 Publication History

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Abstract

Stroke, also known as cerebrovascular events, is mainly caused by the obstruction of blood flow in the brain, which leads to an inability to supply oxygen to the brain. By 2013, stroke had become the second most common cause of death in Taiwan (accounting for about 12% of all deaths). This study used image processing technology and speech recognition, following the Cincinnati Prehospital Stroke Scale, to determine whether or not the user had a stroke. The Cincinnati Prehospital Stroke Scale has three indicators, including facial droop, arm drift, and speech. Patients with 1 of these 3 findings have a 72% probability of having had an ischemic stroke. If all satisfies, the probability of the stroke is more than 85%. In addition, we developed a mobile APP based on this method to detect whether or not the user had a stroke, and hope to reduce stroke hazards.

References

[1]

I. Abubakar, T. Tillmann, and A. Banerjee, "Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013," Lancet, vol. 385, no. 9963, pp. 117--171, 2015.

Crossref

Google Scholar

[2]

R. Shinton and G. Beevers, "Meta-analysis of relation between cigarette smoking and stroke," Bmj, vol. 298, no. 6676, pp. 789--794, 1989.

Crossref

Google Scholar

[3]

Y.-C. Hong, J.-T. Lee, H. Kim, and H.-J. Kwon, "Air pollution: a new risk factor in ischemic stroke mortality," Stroke, vol. 33, no. 9, pp. 2165--2169, 2002.

Crossref

Google Scholar

[4]

Y.-C. Hong, J.-H. Rha, J.-T. Lee, E.-H. Ha, H.-J. Kwon, and H. Kim, "Ischemic stroke associated with decrease in temperature," Epidemiology, vol. 14, no. 4, pp. 473--478, 2003.

Crossref

Google Scholar

[5]

L. NATIONAL HEART, AND BLOOD INSTITUTE. (2019). Stroke. Available: https://www.nhlbi.nih.gov/health-topics/stroke

Google Scholar

[6]

D. G. Hackam and J. D. Spence, "Combining multiple approaches for the secondary prevention of vascular events after stroke: a quantitative modeling study," Stroke, vol. 38, no. 6, pp. 1881--1885, 2007.

Crossref

Google Scholar

[7]

C. L. Cheng, Y. H. Y. Kao, S. J. Lin, C. H. Lee, and M. L. Lai, "Validation of the National Health Insurance Research Database with ischemic stroke cases in Taiwan," Pharmacoepidemiology and drug safety, vol. 20, no. 3, pp. 236--242, 2011.

Google Scholar

[8]

R. U. Kothari, A. Pancioli, T. Liu, T. Brott, and J. Broderick, "Cincinnati prehospital stroke scale: reproducibility and validity," Annals of emergency medicine, vol. 33, no. 4, pp. 373--378, 1999.

Crossref

Google Scholar

[9]

G. Bradski and A. Kaehler, Learning OpenCV: Computer vision with the OpenCV library. " O'Reilly Media, Inc.", 2008.

Google Scholar

[10]

N. H. Insurance. (2019). My Health Bank. Available: https://myhealthbank.nhi.gov.tw/

Google Scholar

[11]

J. B. Olesen, C. Torp-Pedersen, M. L. Hansen, and G. Y. Lip, "The value of the CHA2DS2-VASc score for refining stroke risk stratification in patients with atrial fibrillation with a CHADS2 score 0--1: a nationwide cohort study," Thrombosis and haemostasis, vol. 107, no. 06, pp. 1172--1179, 2012.

Crossref

Google Scholar

[12]

P. A. Wolf, R. D. Abbott, and W. B. Kannel, "Atrial fibrillation: a major contributor to stroke in the elderly: the Framingham Study," Archives of internal medicine, vol. 147, no. 9, pp. 1561--1564, 1987.

Crossref

Google Scholar

Cited By

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Yao KWong KYu XVolpi JWong S(2021)An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC46164.2021.9629720(1727-1730)Online publication date: 1-Nov-2021
https://doi.org/10.1109/EMBC46164.2021.9629720

Index Terms

A Stroke Detection System Based on Cincinnati Prehospital Stroke Scale
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics

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ICMHI '19: Proceedings of the 3rd International Conference on Medical and Health Informatics

May 2019

207 pages

ISBN:9781450371995

DOI:10.1145/3340037

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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Association for Computing Machinery

New York, NY, United States

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Published: 17 May 2019

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ICMHI 2019: The third International Conference on Medical and Health Informatics 2019

May 17 - 19, 2019

Xiamen, China

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Yao KWong KYu XVolpi JWong S(2021)An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC46164.2021.9629720(1727-1730)Online publication date: 1-Nov-2021
https://doi.org/10.1109/EMBC46164.2021.9629720

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Stroke-Based Character Segmentation of Low-Quality Images on Ancient Chinese Tablet

Stroke effect on legibility of Japanese characters

Stroke++: A new Chinese input method for touch screen mobile phones

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