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Research Article

Epilepsy/Seizure Detection Using Machine Learning Through IOT

  • Paper ID 769
  • Volume 3, Issue 6
  • Pages 86-88
  • Published Online: November-December 2022
Open Access Peer Reviewed

Authors

  • Jigisha Srivastava1
  • Akanksha Singh2
  • Alfia3
  • Akanksha Srivastava4

1234 B. Tech 4th Year, Dept. Of Computer Science, Itm Gorakhpur, UP, India.

Article Information

DOI
No DOI
Published Online
November-December 2022
Pages
86-88
Article Type
Research Article
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No DOI available for cross-reference

Abstract

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Abstract: Epilepsy is a condition that results from nervous system imbalance and can be fatal. The most typical signs of epilepsy are rapid changes in heart rate and uncontrollable muscle contractions (seizures). Only epilepsy patients are intended for usage of the wireless electronic diagnostic equipment in this instance. seizures that our system predicted would occur. This device enables the patient to live a healthy life. Leaving the patient alone will be challenging since seizures might happen at any time. the computerized technique for finding epilepsy that forecasts its onset. The signals produced by the human body are utilized to identify epilepsy disorder. The gadget sends a coded signal to create control signals for switching when it notices the symptoms. To pinpoint the patient's precise position, an alarm device, a doctor's or a family member's mobile phone employing wireless communication, a GSM modem, and GPS are employed.

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  • ISSN 2582-8746
  • Open Access
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