Hussain, L., Aziz, W., Saeed, S., Shah, S. A., Nadeem, M. S. A., Awan, I. A., . . . Kazmi, S. Z. H. (2018). Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm. Biomedizinische Technik, 63(4), 481. https://doi.org/10.1515/bmt-2017-0041
Citácia podle Chicago (17th ed.)Hussain, Lal, Wajid Aziz, Sharjil Saeed, Saeed Arif Shah, Malik Sajjad A. Nadeem, Imtiaz Ahmed Awan, Ali Abbas, Abdul Majid, a Syed Zaki Hassan Kazmi. "Quantifying the Dynamics of Electroencephalographic (EEG) Signals to Distinguish Alcoholic and Non-alcoholic Subjects Using an MSE Based K-d Tree Algorithm." Biomedizinische Technik 63, no. 4 (2018): 481. https://doi.org/10.1515/bmt-2017-0041.
Citácia podľa MLA (8th ed.)Hussain, Lal, et al. "Quantifying the Dynamics of Electroencephalographic (EEG) Signals to Distinguish Alcoholic and Non-alcoholic Subjects Using an MSE Based K-d Tree Algorithm." Biomedizinische Technik, vol. 63, no. 4, 2018, p. 481, https://doi.org/10.1515/bmt-2017-0041.