Sensor-level MEG combined with machine learning yields robust classification of mild traumatic brain injury patients.

Autor: Aaltonen J; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland. Electronic address: juho.aaltonen@aalto.fi., Heikkinen V; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland., Kaltiainen H; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland; Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, P.O. Box 340, 00029 HUS, Helsinki, Finland., Salmelin R; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland., Renvall H; BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Hospital, Helsinki University and Aalto University School of Science, P.O. Box 340, 00029 HUS Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto University, P.O. Box 12200, 00760 AALTO, Finland; Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, P.O. Box 340, 00029 HUS, Helsinki, Finland.

Publikováno v: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2023 Sep; Vol. 153, pp. 79-87. Date of Electronic Publication: 2023 Jun 30.

Step height standards based on self-assembly for 3D metrology of biological samples.

Autor: Heikkinen, V, Kassamakov, I, Viitala, T, Järvinen, M, Vainikka, T, Nolvi, A, Bermúdez, C, Artigas, R, Martinez, P, Korpelainen, V, Lassila, A, Hćggström, E

Publikováno v: Measurement Science & Technology; Sep2020, Vol. 31 Issue 9, p1-6, 6p

Työasioiden vatvominen vapaa-ajalla yksilön kokemuksena

Autor: Heikkinen, V. (Veera), Rahikainen, J. (Juuli)

Tiivistelmä. Tutkimuksen tarkoituksena on tarkastella työasioiden vatvomista vapaa-ajalla yksilön kokemuksena. Tässä tutkimuksessa vatvomisella (engl. “rumination”) tarkoitetaan työhön liittyvien asioiden toistuvaa ajattelua vapaa-ajalla.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::a123f8c2c761c2aa820cdbbd6937db44
http://jultika.oulu.fi/Record/nbnfioulu-201912183302

Modified ITER In-Vessel Viewing System

Autor: Ahola, H ^*, Heikkinen, V, Keränen, K, Suomela, J

Publikováno v: In Fusion Engineering and Design 2001 58:513-516

Delphi4LED - From measurements to standardized multi-domain compact models of Light Emitting Diodes (LED)

Autor: Martin, Genevieve Y., Poppe, A., Lungten, S., Heikkinen, V., Yu, Joan, Rencz, M., Bornoff, R.

Publikováno v: Electronics Cooling, 2016(winter), 20-23

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::e5417925106da4d6198c4610ed1d3ba8
https://research.tue.nl/nl/publications/f42cd5e3-a1da-4bb6-a7e8-86e65ee125f3