Abstract
In many critical cardiac abnormalities, it is desirable to have a monitoring system that can keep a constant surveillance on the conditions of the heart and its related patterns. This can be very convenient in clinical settings but may not be a possibility for individuals who are not in the hospital and are in their day-to-day activities. Wearable ECG-based systems have been proposed for such situations and can perform such monitoring in real life. However, detecting the abnormality in near-real-time is still a challenge in these systems. Similarly, what information should be relayed to the doctors or other care-givers and how soon this can be achieved is a very hot area of research at present. This paper presents a monitoring system that embeds an intelligent wearable data acquisition system with unique identification algorithms requiring very little computational time and simple threshold based classification. Once this is done, the related information is passed to a gateway system that can communicate the criticality flags as well as the actual ECG waveform data to the pre-defined data node that connects it to the doctor and/or other clinical representatives. We have used Android based cellphone for as the gateway. The morphological features of mobile devices and their use in our daily lives create an opportunity to connect medical informatics systems with the main stream. The presented system focuses on intelligent health monitoring with possible wearable application for long-term monitoring and updating in real-time about the patient’s ECG conditions to the physician.
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Qidwai, U., Shakir, M.: Filter Bank Approach to Critical Cardiac Abnormalities Detection using ECG data under Fuzzy Classification. Accepted for Publication in International Journal of Computer Information Systems & Industrial Management Applications (July 2012) ISSN: 2150-7988
Qidwai, U., Shakir, M.: Embedded System Design with Filter Bank and Fuzzy Classification Approach to Critical Cardiac Abnormalities Detection. To be Presented at IEEE Symposium on Industrial Electronics and Applications, Indonesia (2012)
Qidwai, U., Shakir, M.: Fuzzy Detection of Critical Cardiac Abnormalities using ECG data: A ubiquitous approach. In: IEEE 11th Hybrid Intelligent Systems Conference, Malaysia (2011)
Ullah, S., Higgins, H., Braem, B., Latre, B., Blondia, C., Moerman, I., Saleem, S., Rahman, Z., Kwak, K.S.: A Comprehensive Survey of Wireless Body Area Networks: On PHY, MAC, and Network Layers Solutions. Journal of Medical Systems (2010)
Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., Leung, V.C.M.: Body Area Networks: A Survey. Mobile Networks and Applications (MONET) 16(2), 1–23 (2011)
Schmidt, R., Norgall, T., Mörsdorf, J., Bernhard, J., von der GrĂ¼n, T.: Body Area Network BAN–a key infrastructure element for patient-centered medical applications. Biomed. Tech. 47(1) (2002)
O’Donovan, T., O’Donoghue, J., Sreenan, C., O’Reilly, P., Sammon, D., O’Connor, K.: A Context Aware Wireless Body Area Network (BAN). In: Proceedings of the Pervasive Health Conference (2009)
Yuce, M.R.: Implementation of wireless body area networks for healthcare systems. Sensors and Actuators A: Physical 162, 116–129 (2010)
Grajales, L., Nicolaescu, I.V.: Wearable multisensor heart rate monitor. In: International Workshop on Wearable and Implantable Body Sensor Networks, pp. 154–157 (2006)
Otto, C., Milenkovic, A., Sanders, C., Jovanov, E.: System Architecture of a Wireless Body Area Sensor Network for Ubiquitous Health Monitoring. Journal of Mobile Multimedia 1(4), 307–326 (2006)
Milenkovic, C., Otto, E., Jovanov, E.: Wireless Sensor Networks for Personal Health Monitoring: Issues and an Implementation. Computer Communications Special issue: Wireless Sensor Networks Performance, Reliability, Security, and Beyond (2006)
Lily Pad Microcontroller board for embedded applications, http://www.arduino.cc/en/Main/ArduinoBoardLilyPad/
Bluetooth module with lily pad microcontroller system, http://www.sparkfun.com/products/9358
CardioSim Heartbeat simulator system, http://biometriccables.com/product/ecgsimulatorscardiosim11/
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Qidwai, U., Chaudhry, J.A., Shakir, M., Rittenhouse, R.G. (2012). Ubiquitous Monitoring System for Critical Cardiac Abnormalities. In: Kim, Th., Kang, JJ., Grosky, W.I., Arslan, T., Pissinou, N. (eds) Computer Applications for Bio-technology, Multimedia, and Ubiquitous City. BSBT MulGraB IUrC 2012 2012 2012. Communications in Computer and Information Science, vol 353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35521-9_16
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DOI: https://doi.org/10.1007/978-3-642-35521-9_16
Publisher Name: Springer, Berlin, Heidelberg
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