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Analysis of brain wave data to detect epileptic activity using LabVIEW

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Abstract

Epilepsy is a neurological disorder characterized by abnormal brain activity, resulting in seizures, periods of unusual behavior, and, in severe cases, loss of consciousness. If epilepsy is detected early, it may reduce the patient’s health risk significantly. Sometimes people’s lives could be saved. There are numerous methods for detecting epileptic activity in brainwaves. One such method is through LabVIEW, a graphical programming software. The peak detection method, implemented in LabVIEW, can be used to detect epileptic activity. Because it reduces erroneous detection, this method is more efficient than manual detection. This research demonstrates epileptic activity by detecting peaks in an EEG database that contains both epileptic and non-epileptic EEG waves from online websites such as the Child Mind Institute and pre-processed EEG datasets. A total of 150 EEG waves were examined, with 25 displaying epileptiform abnormalities and the remaining 125 being completely normal. This method was found to be 97.33% accurate in detecting epileptic activity in the brain.

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Authors and Affiliations

  1. Department of EEE, Birla Institute of Technology and Science, Pilani, Dubai Campus, Dubai International Academic City, Plot No.UG 06, P.O.Box 345055, Dubai, UAE

    R. Swarnalatha

  2. Electronics and Communication Engineering, Birla Institute of Technology and Science, Pilani, Dubai Campus, Dubai, UAE

    Samyuktha Athiban

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  1. R. Swarnalatha
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  2. Samyuktha Athiban
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Contributions

RS: developed the concepts & designing. SA: testing and validation.

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Correspondence to R. Swarnalatha.

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Swarnalatha, R., Athiban, S. Analysis of brain wave data to detect epileptic activity using LabVIEW. Soft Comput 27, 17231–17241 (2023). https://doi.org/10.1007/s00500-023-08047-6

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