Abstract
Epilepsy is a neurological disease characterized by the presence of one or more seizures. The patient has different symptoms but the worst of them are the convulsions. This disease is marked by a variety of disorders that reflect brain dysfunction having different causes [1, 2]. In young children, epilepsy is often attributed to birth trauma, congenital abnormalities or genetic disorders and in adults to cerebral vascular accidents, tumors and cerebrovascular diseases. Epilepsy imposes on individuals and their families a tremendous physical, psychological and social effort. Early detection of this disorder is very helpful. The aim of this application was to design a low cost-system for monitoring an epileptic episode based on measured bio-parameters like temperature and wrist motion. The proposed system is implemented using a bracelet equipped with sensors connected to an Arduino board that transmits the signals to a smartphone where an Android application runs.
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References
Conradsen, I.: Detection of Epileptic Seizures with Multi-Modal Signal Processing. Dissertation DTU Elektro (2013)
Poh, M.-Z.: Continuous Assessment of Epileptic Seizures With Wrist-Worn Biosensors. Dissertation Massachusetts Institute of Technology (2011)
Gheryani, M., Salem, O., Mehaoua, A.: Detection of nocturnal epileptic seizures from wireless inertial measurements and muscular activity. In: IEEE Global Communications Conference, GLOBECOM, Singapore, 2017
Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Sánchez Fernández, I., Pearl, P.L., Loddenkemper, T.: Automated Seizure Detection Systems and Their Effectiveness for Each Type of Seizure, Seizure, Elsevier, vol. 40, pp. 88–101, August 2016
Sharvon, S., Guerrini, R., Cook, M., Hatoo, S.L.: Oxford Textbook of Epilepsy and Epileptic Seizures. Oxford University Press (2012)
Nijsen, T.M., Arends, J.B., Griep, P.A., Cluitmans, P.J.: The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy. Epilepsy Behav. 7, 74–84 (2005)
Teohari, V.-M., et al.: Epilepsy seizure detection app for wearable technologies. In: Conference Proceedings AmI (2014)
Ramgopal, S., et al.: Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy. Epilepsy Behav. 37, 291–307 (2014)
Ramirex-Alaminos, J.-M., Sendra, S., Lloret, J., Navarro-Ortiz, J.: Low-cost wearable bluetooth sensor for epileptic episodes detection. In: IEEE ICC 2017—SAC Symposium E-Health Track
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Holonec, R., Vlad, S., Rapolti, L. (2019). Application for Detection of Epileptic Seizures. In: Vlad, S., Roman, N. (eds) 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania. IFMBE Proceedings, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-13-6207-1_15
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DOI: https://doi.org/10.1007/978-981-13-6207-1_15
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