jarno_mikroCTlla

Dr. Jarno M. A. Tanskanen

A Senior Research Fellow at

Department of Electronics and Communications Engineering

Tampere University of Technology

Tampere, Finland

Select Publications

F. E. Kapucu, J. M. A. Tanskanen, J. E Mikkonen, L. Ylä-Outinen, S. Narkilahti, and J. A. K. Hyttinen,
“Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics,”
Frontiers in Computational Neuroscience, Vol. 6, Article 38, 14 pages, June 2012.
http://dx.doi.org/10.3389/fncom.2012.00038

T. Ryynänen, L. Ylä-Outinen, S. Narkilahti, J. M. A. Tanskanen, J. Hyttinen, J. Hämäläinen, M. Leskelä, and J. Lekkala,
“Atomic layer deposited iridium oxide thin film as microelectrode coating in stem cell applications,”
Journal of Vacuum Science and Technology A, Vol. 30, No. 4, pp. 041501-1–041501-5, July/Aug. 2012.
http://dx.doi.org/10.1116/1.4709447
Appears also in Virtual Journal of Biological Physics Research, Vol. 23, No. 9, May 2012.
Issue Table of Contents: http://www.vjbio.org/dbt/dbt.jsp?KEY=VIRT02&Volume=23&Issue=9

J. M. A. Tanskanen and J. J. Viik,
“Independent component analysis in ECG signal processing,“
in Advances in Electrocardiograms - Methods and Analysis, R. M. Millis, Ed.
Rijeka, Croatia: InTech, 2012, pp. 349–372.
http://dx.doi.org/10.5772/22719
See download statistics

T. Ryynänen, V. Kujala, L. Ylä-outinen, I. Korhonen, J. M. A. Tanskanen, P. Kauppinen, K. Aalto-setälä, J. Hyttinen, E. Kerkelä, S. Narkilahti, and J. Lekkala,
“All titanium microelectrode array for field potential measurements from neurons and cardiomyocytes – a feasibility study,”
Micromachines, Vol. 2, No. 4, pp. 394–409, Dec. 2011.
http://dx.doi.org/10.3390/mi2040394

V. J. Kujala, Z. C. Jimenez, J. Väisänen, J. M. A. Tanskanen, E. Kerkelä, J. Hyttinen, and K. Aalto-Setälä,
“Averaging in vitro cardiac field potential recordings obtained with microelectrode arrays,”
Computer Methods and Programs in Biomedicine, Vol. 104, No. 2, pp. 199–205, Nov. 2011.
http://dx.doi.org/10.1016/j.cmpb.2011.04.001

T. J. Heikkilä, L. Ylä-Outinen, J. M. A. Tanskanen, R. S. Lappalainen, H. Skottman, R. Suuronen, J. E. Mikkonen, J. A. K. Hyttinen, and S. Narkilahti,
“Human embryonic stem cell-derived neuronal cells form spontaneously active neuronal networks in vitro,”
Experimental Neurology, Vol. 218, No. 1, pp. 109–116, July 2009.
http://dx.doi.org/10.1016/j.expneurol.2009.04.011

M. Pekkanen-Mattila, E. Kerkelä, J. M. A. Tanskanen, M. Pietilä, M. Pelto-Huikko, J. Hyttinen, H. Skottman, R. Suuronen, and K. Aalto-Setälä,
“Substantial variation in the cardiac differentiation of human embryonic stem cell lines derived and propagated under the same conditions - a comparison of multiple cell lines,”
Annals of Medicine, Vol. 41, No. 5, pp. 360–370, 2009.
http://dx.doi.org/10.1080/07853890802609542

J. M. A. Tanskanen, J. E. Mikkonen, and M. Penttonen,
“Independent component analysis of neural populations from multielectrode field potential measurements,”
Journal of Neuroscience Methods, Vol. 145, No. 1–2, pp. 213–232, June 2005.
http://dx.doi.org/10.1016/j.jneumeth.2005.01.004

Current Research Project

3DNeuroN

“Biomimiking the Brain - towards 3D Neuronal Network Dynamics”

International collaborative project funded by from European Union 7^th Framework Programme Future Emerging Technologies Scheme.

Past Research Projects

BrainCom / IPES-PCI

“Studies on Intelligent Processing Methods for EEG/ECoG Signals in
Brain-Computer Interface”

Funded by the Academy of Finland from a joint call of
Academy of Finland and National Natural Science Foundation of China
in the field of signal processing.

STEMFUNC

“Biomimetic Active Environment for
Differentiating and Maturing Functional Neurons and Cardiomyocytes from
Stem Cells”

Collaborative project of several depts. of Tampere University of Technology and University of Tampere,
Funded by the Academy of Finland.

Curriculum Vitae and List of Publications
NOW WITH LINKS TO THE PUBLICATIONS
Jan. 18, 2013 (pdf, 200 kB)

* For the full list, please see the CV.

Areas of Professional Interest

Multielectrode signal analysis

Cellular level microelectrode array signal analysis for neuronal and cardiomyocyte stem cell research
EEG measurements and signal analysis
ECG signal analysis

Analysis of natural neuronal network function
Statistical methods for biomedical signal analysis
Brain-computer interfaces
Combining statistical signal processing and bioelectromagnetic lead field theory