Seizure Prediction and Classification Using Affective Technology
2021 ◽
Vol 10
(1)
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pp. 1-10
Keyword(s):
Epilepsy is a neurological issue that is described by abrupt and irregular seizures. As indicated by the World Health Organisation (WHO), roughly 1% of the total populace are epileptic patients. The abrupt nature of epileptic seizures constitutes a major disabling aspect of the ailment due to the impediments in patients' daily activities. Therefore, a method that can speculate the event of seizures could essentially improve the wellbeing of epileptic patients. Hence, the point of this paper is to build up a model that can anticipate seizures and furthermore characterize them, using a GSR sensor, temperature sensor, and also a pulse rate sensor.
1990 ◽
Vol 64
(02)
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pp. 267-269
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2020 ◽
Keyword(s):
Keyword(s):
2020 ◽
Vol 26
(41)
◽
pp. 5261-5277
Keyword(s):
2021 ◽
Vol 18
(6)
◽
pp. 2957
Keyword(s):
Keyword(s):