Intelligent Quad Cane with GPS Allocation for Tachyarrhythmia

Authors

  • Norain Rahim Centre for Telecommunication Research & Innovation, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia. Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia.
  • Wafi Aziz Centre for Robotics & Industrial Automation, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia. Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia.
  • Wan Haszerila Wan Hassan Centre for Telecommunication Research & Innovation, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia. Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia.
  • Siti Asma Che Aziz Centre for Telecommunication Research & Innovation, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia. Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia.
  • Wan Norhisyam Abd Rashid Centre for Telecommunication Research & Innovation, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia. Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia.
  • Rafi’uddin Rosdi Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 75300 Durian Tunggal, Melaka Malaysia.

Keywords:

GPS, GSM, Arduino, Quad Cane, Tachyarrhythmia,

Abstract

This paper aims to present the development of an Intelligent Quad Cane with Global Positioning System (GPS) Allocation for Tachyarrhythmia. Heart attack symptoms vary between individual. Usually, senior citizen or cardiovascular patient is not aware of their heartbeat rate. Lack of early warning is the most common reason of the patient die because of a heart attack. Thus, this project offers an early warning for the cardiovascular patient to the charged person. Furthermore, this project is able to analyze and indicate an abnormality in heart rate pulse for the user. Sinus tachycardia and Supraventricular tachycardia was chosen as a research subject because this disease is an early complication of the heart attack. The uses of Global System for Mobile (GSM) and GPS modules in this project can make the charged person receives the notification from the patient via Short Message Service (SMS) which contains the exact location together with patient’s condition. This condition shortens the time of ambulance to arrive.

References

Ang CS, Chan KM. A Review of Coronary Artery Disease Research in Malaysia. Med J Malaysia. 2016 Jun;71(Suppl 1) 42-57. PMID: 27801387.

Monika Gugneja, MD Consulting Staff, Department of Emergency Medicine, William Beaumont Hospital, “Paroxysmal Supraventricular Tachycardia”, Updated: Dec 30, 2015, Available at:

http://emedicine.medscape.com/article/156670-overview Chong J.W., Esa N., McManus D.D., ET AL.: ‘Arrhythmia discrimination using a smart phone’, IEEE Trans. Biomed. Eng., 2015, 19, (3), pp. 1–4

Qiao L., Rajagopalan C., Clifford G.D.: ‘Ventricular fibrillation and tachycardia classification using a machine learning approach’, IEEE Trans. Biomed. Eng., 2014, 61, (6), pp. 1607–1613

Alonso-Atienza F., Morgado E., Fernández-Martínez L., ET AL.: ‘Detection of life-threatening arrhythmias using feature selection and support vector machines’, IEEE Trans. Biomed. Eng., 2014, 61, (3), pp. 832–840

Alonso-Atienza F., Morgado E., Fernández-Martínez L., ET AL.: ‘Combination of ECG parameters with support vector machines for the detection of life-threatening arrhythmias’. Proc. Comput. Cardiol., September 2012, vol. 39, pp. 385–388

Balasundaram K., Masse S., Nair K., ET AL.: ‘Wavelet-based features for characterizing ventricular arrhythmias in optimizing treatment options’. Proc. IEEE EMBS, 2011, pp. 969–972

Zhen-Xing Z., Tian X.W., Lim J.S.: ‘Real-time algorithm for a mobile cardiac monitoring system to detect life-threatening arrhythmias’. Proc. Int. Conf. Computer and Automation Engineering, February 2010, vol. 4, pp. 232–236

Arafat M., Chowdhury A., Hasan M.: ‘A simple time domain algorithm for the detection of ventricular fibrillation in electrocardiogram’, Signal, Image, Video Process., 2011, 5, pp. 1–10

Amann A., Tratnig R., Unterkofler K.: ‘Detecting ventricular fibrillation by time-delay methods’, IEEE Trans. Biomed. Eng., 2007, 54, (1), pp. 174–177

Anas E., Lee S., Hasan M.: ‘Sequential algorithm for life threatening cardiac pathologies detection based on mean signal strength and emd functions’, BioMed. Eng. OnLine, 2010, 9, (1), pp. 43–64

Li H., HanW., Hu C., ET AL.: ‘Detecting ventricular fibrillation by fast algorithm of dynamic sample entropy’. Proc. IEEE Robot. Biomimet., 2009, pp. 1105–1110

Puranik, Harsha C., and S. S. Kataria. "Wireless Walking Stick with Heart Attack Detection". International Journal of Innovative Research In Electrical And Electronic Instrumentation And Control Engineering 2 (2014), Issue 10.

Ashrafuzzaman, Md, et al. "Heart attack detection using smart phone."International Journal of Technology Enhancements And Emerging Engineering Research 1 (2013): 23-27.

P. Leijdekkers and V. Gay, "A Self-Test to Detect a Heart Attack Using a Mobile Phone and Wearable Sensors," Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on, Jyvaskyla, 2008, pp. 93-98.

K. J. Kappiarukudil and M. V. Ramesh, "Real-Time Monitoring and Detection of "Heart Attack" Using Wireless Sensor Networks," Sensor Technologies and Applications (SENSORCOMM), 2010 Fourth International Conference on, Venice, 2010, pp. 632-636.

P. A. Pawar, "Heart rate monitoring system using IR base sensor & Arduino Uno," IT in Business, Industry and Government (CSIBIG), 2014 Conference on, Indore, 2014, pp. 1-3.

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Published

2018-07-04

How to Cite

Rahim, N., Aziz, W., Wan Hassan, W. H., Che Aziz, S. A., Abd Rashid, W. N., & Rosdi, R. (2018). Intelligent Quad Cane with GPS Allocation for Tachyarrhythmia. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-6), 7–11. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4360

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