doctoral thesis
Multichannel electroencephalogram frequency domain feature extraction method for brain activity state transition detection
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:341252

Stančin, Igor
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Stančin, I. (2023). Multichannel electroencephalogram frequency domain feature extraction method for brain activity state transition detection (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:341252

Stančin, Igor. "Multichannel electroencephalogram frequency domain feature extraction method for brain activity state transition detection." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:341252

Stančin, Igor. "Multichannel electroencephalogram frequency domain feature extraction method for brain activity state transition detection." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:341252

Stančin, I. (2023). 'Multichannel electroencephalogram frequency domain feature extraction method for brain activity state transition detection', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:341252

Stančin I. Multichannel electroencephalogram frequency domain feature extraction method for brain activity state transition detection [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 May 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:341252

I. Stančin, "Multichannel electroencephalogram frequency domain feature extraction method for brain activity state transition detection", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:341252

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