Abstract
This paper presents Atrial Fibrillation Detection for Stroke Prevention. Stroke is the third leading cause of death in Malaysia after cancer. Furthermore, one of the risk factors for stroke is Atrial Fibrillation. The objective of this paper is to develop an IoT device that helps to perform early detection of irregular heart beat at affordable cost. However, the devices or gadgets are expensive and a doctor will not be always available to monitor patient’s pulse regularly. Therefore, a real-time heart rate and rhythm monitoring device are presented in this paper. Experimental results show that the proposed device has achieved satisfactory performance in terms of user acceptance testing.
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References
Hochstadt, A., Chorin, E., Viskin, S., Schwartz, A.L., Lubman, N., Rosso, R.: Continuous heart rate monitoring for automatic detection of atrial fibrillation with novel bio-sensing technology. J. Electro cardiology 52, 23–27 (2019)
American National Stroke Association, January 2019. http://www.strokeassociation.org/strokeorg/
Camm, A.J., Kirchhoff, P., Lip, G.Y., Schotten, U., Savelieva, I., Ernst, S., Van Gelder, I.C., Al-Attar, N., Heidbuchel, H.: Guidelines for the management of atrial fibrillation: the Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC). Eur. Heart J. 31(19), 2369–2429 (2010)
Kooi, C.W., Peng, H.C., Aziz, Z.A., Looi, I.: A review of stroke research in Malaysia from 2000–2014. Med. J Malays. 71(1), 58–68 (2016)
Freedman, B., Lowres, N.: Asymptomatic atrial fibrillation: the case for screening to prevent stroke. JAMA 314, 1911–1913 (2015)
Friberg, L., Rosenqvist, M., Lindgren, A., Terent, A., Norrving, B., Asplund, K.: High prevalence of atrial fibrillation among patients with ischemic stroke. In: Stroke 2014, vol. 45, no. 9, pp. 2599–2605 (2014)
Henzel, N., Wróbel, J., Horoba, K.: Atrial fibrillation episodes detection based on classification of heart rate derived features. In: 24th IEEE International Conference in Mixed Design of Integrated Circuits and Systems, pp. 571–576 (2017)
Lee, Y.Y., Shafieb, A.A., Sidekc, N.N., Azizd, Z.A.: Economic burden of stroke in Malaysia: results from national neurology registry. J. Neurol. Sci. 381(Supplement), 167–168 (2017)
Mela, T.: Smartwatches in the fight against atrial fibrillation: the little watch that could. J. Am. Coll. Cardiol. 71(21), 2389–2391 (2018)
Ministry of Health Malaysia. Clinical Practice Guidelines (CPG) (2019). http://www.moh.gov.my
Turakhia, M.P., Desai, M., Hedlin, H., Rajmane, A., Talati, N., Ferris, T., Desai, S., Nag, D., Patal, M., Kowey, P., Rumsfeld, J.S., Russo, A.M., Hills, M.T., Granger, C.B., Mahaffey, K.W., Perez, M.V.: Rationale and design of a large-scale app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study. Am. Heart J. 27, 66–75 (2019)
National Stroke Association Malaysia (NASAM). Stroke is fatal. http://www.nasam.org
Roj, D., Wrobel, J., Matonia, A., Sobotnicka, E.: Hardware design issues and functional requirements for smart wristband monitor of silent atrial fibrillation. In: 24th International Conference IEEE Mixed Design of Integrated Circuits and Systems, MIXDES, pp. 596–600 (2017)
Schoonderwoerd, B.A., Smit, M.D., Pen, L., Van Gelder, I.C.: New risk factors for atrial fibrillation: causes of ‘not-so-lone atrial fibrillation’. Europace 10(6), 668–673 (2008)
Stroke Patients’ at Hospital Universiti Kebangsaan Malaysia (HUKM). Med. J. Malays. 58(4), 499–505
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We would also like to thank UTP and all staffs who provide support either directly or indirectly in the research. Special gratitude goes to visiting Professor Dr Merienne for giving valuable feedback on the paper.
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Foong, OM., Sulaiman, S., Khairuddin, A.A. (2019). Atrial Fibrillation for Stroke Detection. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Computational Statistics and Mathematical Modeling Methods in Intelligent Systems. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1047. Springer, Cham. https://doi.org/10.1007/978-3-030-31362-3_14
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DOI: https://doi.org/10.1007/978-3-030-31362-3_14
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