Epilepsy Seizure Detection and Prediction Based on DeviceHive

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Abstract

Unpredictable nature of epilepsy, patients only has more need of awareness about precautions and how to handle the occurrence. Epilepsy belongs to have a recurrent seizures tendency throughout the life. Seizure may happen due to number of reasons like tumor, head injury, pregnancy time, genetic etc. It can be curable with proper diagnosis, incurable but controllable with lifelong medication and remaining are uncontrollable that leads to death. Recording of alert symptoms like auras, prodromes and precipitant factors are helped to self-alert the patient, create positive impact on quality of life and increase the efficacy of treatments. The need of enhancing early seizure detection and developing wearable monitoring product with low cost is used to create fear free environment among the affected people. In this connection, my proposed work reviewed on existing and currently available IOT based seizure detection and alert systems feasibility.

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Nanthini*, K. … Kumar, G. (2019). Epilepsy Seizure Detection and Prediction Based on DeviceHive. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 7463–7466. https://doi.org/10.35940/ijrte.d5320.118419

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