T
Tomi Laitinen
Researcher at University of Eastern Finland
Publications - 282
Citations - 11639
Tomi Laitinen is an academic researcher from University of Eastern Finland. The author has contributed to research in topics: Population & Blood pressure. The author has an hindex of 51, co-authored 262 publications receiving 10227 citations. Previous affiliations of Tomi Laitinen include University of Tampere & Turku University Hospital.
Papers
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Book ChapterDOI
Estimation of T-Wave Morphology Using Gaussian Functions
TL;DR: In this paper, two Gaussian functions were used to model T-wave and the parameters of these Gaussian function gave desired information of Twave characteristics and it separates easily normal, partly inverted and inverted T-waves.
Journal ArticleDOI
P806 prevalence and determinants of fatty liver in normal weight and overweight young adults. the cardiovascular risk in young finns study
Emmi Suomela,Mervi Oikonen,Johanna Virtanen,Riitta Parkkola,Elina Jokinen,Tomi Laitinen,N. Hutri-Kähönen,Mika Kähönen,Terho Lehtimäki,Leena Taittonen,Päivi Tossavainen,Antti Jula,Britt-Marie Loo,Zobair M. Younossi,Jorma Viikari,Markus Juonala,Olli T. Raitakari +16 more
TL;DR: In this article, the authors measured factors associated with fatty liver in 863 normal-weight (BMI < 25) and 11 obese individuals and found that fatty liver may have different determinants in normalweight and in obese individuals.
Journal ArticleDOI
Carotid artery longitudinal wall motion alterations associated with metabolic syndrome and insulin resistance.
S. Helena Taivainen,Tiina M. Laitinen,Heikki Yli-Ollila,Markus Juonala,Markus Juonala,Mika Kähönen,Olli T. Raitakari,Olli T. Raitakari,Tomi Laitinen +8 more
TL;DR: In this article, the relationship between the carotid artery longitudinal wall motion (CALM) and metabolic syndrome (MetS) was studied with 281 subjects aged 30-45 years.
Comparison between parameters from maximal cycle ergometer test first without respiratory gas analysis and
TL;DR: It is concluded that maximal cycle ergometer tests without and with respiratory gas analysis can be used consecutively because measurement of respiratory gases did not impair performance or have a significant effect on the maximality of the exercise tests.
Journal ArticleDOI
A principal component regression approach for estimating ventricular repolarization duration variability
Mika P. Tarvainen,Tomi Laitinen,Tiina Lyyra-Laitinen,Juha-Pekka Niskanen,Pasi A. Karjalainen +4 more
TL;DR: The proposed principal-component-regression- (PCR-) based method for estimating RT variability is observed to estimate RT variability accurately and to be less sensitive to noise than the traditional methods.