Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Antti Koski"'
Autor:
Pierpaolo Dondio, Attracta Brennan, Antti Koskinen, Francesca de Rosa, Avo Schönbohm, Mariana Rocha
Publikováno v:
International Journal of Serious Games, Vol 11, Iss 4 (2024)
Introduction to the Special Issue on GaLA Conf 2023
Externí odkaz:
https://doaj.org/article/9be4c9885b934dc287e39ef872775d09
Publikováno v:
International Journal of Serious Games, Vol 10, Iss 4 (2023)
This International Journal of Serious Games special issue is dedicated to the selected and extended best papers of the 2022 edition of the GALA conference. Professor Kristian Kiili and his team at Tampere University in Finland organized this edition
Externí odkaz:
https://doaj.org/article/fd8540eeb01a49148e330f7897f690ff
Autor:
Jouko Viljanto, Antti Koski
Publikováno v:
Wound Repair and Regeneration. 19:162-167
Assessment of the real state of wound healing of closed surgical wounds is uncertain both clinically and from conventional laboratory tests. Therefore, a novel approach based on early analysis of exactly timed wound cells, computerized further with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::973f81588b75b7575042cfda467fa4a1
https://doi.org/10.1111/j.1524-475x.2010.00664.x
https://doi.org/10.1111/j.1524-475x.2010.00664.x
Publikováno v:
University of Helsinki
Sauna-related burns are rare, even in Finland where sauna bathing is a popular leisure pastime. Burns induced by hot air are even more rare and constitute a very small subgroup of all sauna burns. Hot air burns are characterised by a combination of f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb1d2437da389633bab0cc93b8885fe3
https://doi.org/10.1016/j.burns.2005.04.024
https://doi.org/10.1016/j.burns.2005.04.024
Publikováno v:
Journal of Medical Engineering & Technology. 28:61-66
Electrocardiogram (ECG) signals are the most prominent biomedical signal type used in clinical medicine. Their compression is important and widely researched in the medical informatics community. In the previous literature compression efficacy has be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc306937621fcd831d83882b718f3dc6
https://doi.org/10.1080/0309190031000139056
https://doi.org/10.1080/0309190031000139056
Publikováno v:
European Journal of Plastic Surgery. 26:298-303
Achilles tendon surgery is quite common, typical indications being acute tendon rupture and chronic tendinitis. Post-operative wound infection or skin necrosis occurs in 2.4–5% of these operations. Soft tissue reconstruction of the Achilles tendon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::180771ab25515dd8e65b13c6db0dad0c
https://doi.org/10.1007/s00238-003-0548-z
https://doi.org/10.1007/s00238-003-0548-z
Publikováno v:
Scopus-Elsevier
We identify objects from their visually observable morphological features. Automatic methods for identifying living objects are often needed in new technology, and these methods try to utilize shapes. When it comes to identifying plant species automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea9c1d99a8af9517bf7035777b6407a7
https://doi.org/10.1016/s0006-3495(99)76967-5
https://doi.org/10.1016/s0006-3495(99)76967-5
Autor:
Antti Koski
Publikováno v:
Artificial Intelligence in Medicine. 8:453-471
In this paper, we have studied the use of continuous probability density function hidden Markov models for the ECG signal analysis problem. Our previous work has focused on syntactic pattern recognition methods in signal processing. Hidden Markov mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02ed36a32b16e60ab03b24acc98bb6fa
https://doi.org/10.1016/s0933-3657(96)00352-1
https://doi.org/10.1016/s0933-3657(96)00352-1
Autor:
Antti Koski
Publikováno v:
Pattern Recognition Letters. 17:1215-1222
In this paper, a hybrid of self-organizing feature map and learning vector quantization and a rule base classification for the extraction of structural primitives of ECG signals is presented. Structural primitives are the elementary building blocks o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60617c96ade094769b43b5c4ae419f32
https://doi.org/10.1016/0167-8655(96)00079-7
https://doi.org/10.1016/0167-8655(96)00079-7
Publikováno v:
Pattern Recognition. 28:1927-1940
A syntactic pattern recognition method of electrocardiograms (ECG) is described in which attributed automata are used to execute the analysis of ECG signals. An ECG signal is first encoded into a string of primitives and then attributed automata are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6181f0cfbdd9fad3216085ed5fa34efa
https://doi.org/10.1016/0031-3203(95)00052-6
https://doi.org/10.1016/0031-3203(95)00052-6