Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Eero Väyrynen"'
Autor:
Jouko J Laurila, Eero Väyrynen, Tero Ala-Kokko, Ilkka Juuso, Juha Koskenkari, Jukka Kortelainen
Publikováno v:
Journal of Clinical Monitoring and Computing
In a recent study, we proposed a novel method to evaluate hypoxic ischemic encephalopathy (HIE) by assessing propofol-induced changes in the 19-channel electroencephalogram (EEG). The study suggested that patients with HIE are unable to generate EEG
Autor:
Johanna Hästbacka, Tero Ala-Kokko, Marjaana Tiainen, Jouko V. Laurila, Juha Koskenkari, Daniel Strbian, Eero Väyrynen, Mika Kallio, Jussi Toppila, Jukka Kortelainen, Kirsi Rantanen, Markus B. Skrifvars
Aim of the study: EEG slow wave activity (SWA) has shown prognostic potential in post-resuscitation care. In this prospective study, we investigated the accuracy of continuously measured early SWA for prediction of the outcome in comatose cardiac arr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17d436a964a6649deb76f044c21c5641
http://urn.fi/urn:nbn:fi-fe2021110453722
http://urn.fi/urn:nbn:fi-fe2021110453722
Autor:
Linda Lönnqvist, Pertti Palo, Leena Mäkinen, Laura Mämmelä, Tuula Hurtig, S. Laukka, Hanna Ebeling, Antti Siipo, Eero Väyrynen, Soile Loukusa, Marja-Leena Mattila
Publikováno v:
Quarterly Journal of Experimental Psychology. 70:2331-2346
The aim of the current study was to investigate subtle characteristics of social perception and interpretation in high-functioning individuals with autism spectrum disorders (ASDs), and to study the relation between watching and interpreting. As a no
Autor:
Eero Väyrynen, Jukka Holappa, Antti Siipo, S. Laukka, Anja Keskinarkaus, Ilkka Juuso, Sami Huttunen, Tapio Seppänen, Janne Heikkilä, Matti Lehtihalmes, Magda Laszlo
Publikováno v:
Multimedia Tools and Applications. 75:6321-6345
The MORE system is designed for observation and machine-aided analysis of social interaction in real life situations, such as classroom teaching scenarios and business meetings. The system utilizes a multichannel approach to collect data whereby mult
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2015 (2015)
Computational Intelligence and Neuroscience, Vol 2015 (2015)
Recent findings suggest that specific neural correlates for the key elements of basic emotions do exist and can be identified by neuroimaging techniques. In this paper, electroencephalogram (EEG) is used to explore the markers for video-induced emoti
Autor:
Jouko J Laurila, Tero Ala-Kokko, Juha Koskenkari, Janne T. Backman, Usko Huuskonen, Seppo Alahuhta, Eero Väyrynen, Jukka Kortelainen, Tapio Seppänen
Publikováno v:
University of Helsinki
EMBC
EMBC
Proceeding volume: 38 Hypoxic ischemic encephalopathy (HIE) is a severe consequence of cardiac arrest (CA) representing a substantial diagnostic challenge. We have recently designed a novel method for the assessment of HIE after CA. The method is bas
Publikováno v:
Procedia - Social and Behavioral Sciences. 84:18-23
The goal of the experiment was to establish pupil size variations while viewing and reporting 48 affective (IAPS) pictur es. The experiment consisted of 44 students. Pictures appeared on the screen for 20 secs in random order. After reporting the SAM
Publikováno v:
Procedia - Social and Behavioral Sciences. 84:13-17
This study is a replicate study with male subjects of our previous experiment with 25 female subjects. We measured HRV in 14 males while they were viewing 16 unpleasant, 16 neutral, and 16 pleasant International Affective Picture System (IAPS) PowerP
Publikováno v:
IEEE Transactions on Affective Computing. 4:47-56
Visualization of emotional speech data is an important tool for speech researchers who seek means to gain a deeper insight into the structure of complex multidimensional data. A visualization method is presented that utilizes feature selection and cl
Autor:
Usko Huuskonen, Seppo Alahuhta, Janne T. Backman, Tero Ala-Kokko, Jouko V. Laurila, Eero Väyrynen, Jukka Kortelainen, Tapio Seppänen, Juha Koskenkari
Publikováno v:
Anesthesiology. 126(1)
Background Slow waves (less than 1 Hz) are the most important electroencephalogram signatures of nonrapid eye movement sleep. While considered to have a substantial importance in, for example, providing conditions for single-cell rest and preventing