Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications

Lucas Gabriel Souza França; José G. Vivas Miranda; Marco Leite; Niraj K. Sharma; Matthew C. Walker; Louis Lemieux; Yujiang Wang

doi:10.3389/fphys.2018.01767

Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications

Lucas Gabriel Souza França, José G. Vivas Miranda, Marco Leite, Niraj K. Sharma, Matthew C. Walker, Louis Lemieux, Yujiang Wang

Computer Information Sciences Department

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

Original language	English
Journal	Frontiers in Physiology
DOIs	https://doi.org/10.3389/fphys.2018.01767
Publication status	Published - 10 Dec 2018

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10.3389/fphys.2018.01767

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title = "Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications",

author = "Fran{\c c}a, {Lucas Gabriel Souza} and Miranda, {Jos{\'e} G. Vivas} and Marco Leite and Sharma, {Niraj K.} and Walker, {Matthew C.} and Louis Lemieux and Yujiang Wang",

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AU - França, Lucas Gabriel Souza

AU - Miranda, José G. Vivas

AU - Leite, Marco

AU - Sharma, Niraj K.

AU - Walker, Matthew C.

AU - Lemieux, Louis

AU - Wang, Yujiang

PY - 2018/12/10

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JO - Frontiers in Physiology

JF - Frontiers in Physiology

ER -

Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications

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