Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Computationally Efficient Early Prognosis of the Outcome of Comatose Cardiac Arrest Survivors Using Slow-Wave Activity Features in EEG.

M. Salminen, J. Partala, E. Väyrynen, and J. Kortelainen. CinC, page 1-4. IEEE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Eero Puolanne

Eero Uroma

Eero Mäkinen

Eero Kalervo Paloheimo

Other publications of authors with the same name

Voluntary Eye Movement Patterns while Viewing Müller-Lyer Illusion - A New Screening Method for Scotoma Patients.M. Haapala, A. Rantanen, A. Falck, A. Tuulonen, E. Väyrynen, T. Seppänen, and S. Laukka. BIOSIGNALS, page 267-270. SciTePress, (2013)On enabling techniques for personal audio content management.T. Lahti, M. Helén, O. Vuorinen, E. Väyrynen, J. Partala, J. Peltola, and S. Mäkelä. Multimedia Information Retrieval, page 113-120. ACM, (2008)Depth of Anesthesia During Multidrug Infusion: Separating the Effects of Propofol and Remifentanil Using the Spectral Features of EEG.J. Kortelainen, E. Väyrynen, and T. Seppänen. IEEE Trans. Biomed. Eng., 58 (5): 1216-1223 (2011)Prosody-based classification of emotions in spoken finnish.T. Seppänen, E. Väyrynen, and J. Toivanen. INTERSPEECH, page 717-720. ISCA, (2003)Computationally Efficient Early Prognosis of the Outcome of Comatose Cardiac Arrest Survivors Using Slow-Wave Activity Features in EEG.M. Salminen, J. Partala, E. Väyrynen, and J. Kortelainen. CinC, page 1-4. IEEE, (2023)Using Hilbert-Huang Transform to assess EEG slow wave activity during anesthesia in post-cardiac arrest patients.J. Kortelainen, E. Väyrynen, U. Huuskonen, J. Laurila, J. Koskenkari, J. Backman, S. Alahuhta, T. Seppänen, and T. Ala-Kokko. EMBC, page 1850-1853. IEEE, (2016)Assessing EEG slow wave activity during anesthesia using Hilbert-Huang Transform.J. Kortelainen, and E. Väyrynen. EMBC, page 117-120. IEEE, (2015)EEG-based detection of awakening from isoflurane anesthesia in rats.J. Kortelainen, E. Väyrynen, X. Jia, T. Seppänen, and N. Thakor. EMBC, page 4279-4282. IEEE, (2012)

BibSonomy

Disambiguation of "Väyrynen, Eero"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Computationally Efficient Early Prognosis of the Outcome of Comatose Cardiac Arrest Survivors Using Slow-Wave Activity Features in EEG.

Please choose a person to relate this publication to

Eero Puolanne

Eero Uroma

Eero Mäkinen

Eero Kalervo Paloheimo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Väyrynen, Eero"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Computationally Efficient Early Prognosis of the Outcome of Comatose Cardiac Arrest Survivors Using Slow-Wave Activity Features in EEG.

Please choose a person to relate this publication to

Eero Puolanne

Eero Uroma

Eero Mäkinen

Eero Kalervo Paloheimo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Computationally Efficient Early Prognosis of the Outcome of Comatose Cardiac Arrest Survivors Using Slow-Wave Activity Features in EEG.