"False"
Skip to content
umu.se
For students
Library
For staff
Login
Students
All students must change their password since 7 May.
Edit
Edit content at umu.se
Svensk webbplats
Search
Menu
X close menu
Menu
Search
Search within:
Search within:
All
Education
Research
Staff
Student web
News
Other search services
Find courses and programmes
Library search tool
Search the legal framework
Main menu hidden.
Login
Students
All students must change their password since 7 May.
Edit
Edit content at umu.se
Svenska
Nils Östlund
Contact
E-mail
nils.ostlund@umu.se
Phone
+46 90 785 40 37
Works at
Affiliation
Affiliated as other position at
Department of Diagnostics and Intervention
Section: Biomedical engineering and Radiation Physics
Location
3B, Norrlands universitetssjukhus
Umeå universitet, 901 85 Umeå
Publications
Publications
Research
Research
2012
Wavelet based noise reduction of four-dimensional data with application to MRI
Research Report, Centre of Biostochastics
, 2012-1
Yu, Jun; Östlund, Nils
2011
Effects of inflow and radiofrequency spoiling on the arterial input function in dynamic contrast-enhanced MRI: a combined phantom and simulation study
Magnetic Resonance in Medicine
, Wiley 2011, Vol. 65, (6) : 1670-1679
Garpebring, Anders; Wirestam, Ronnie; Östlund, Nils; et al.
2010
Semi-automatic tumour segmentation by selective navigation in a three-parameter volume, obtained by voxel-wise kinetic modelling of 11C-acetate
Radiation Protection Dosimetry
, Oxford University Press 2010, Vol. 139, (1-3) : 214-218
Häggström, Ida; Johansson, Lennart; Larsson, Anne; et al.
2009
A novel estimation method for physiological parameters in dynamic contrast-enhanced MRI: application of a distributed parameter model using Fourier-domain calculations
IEEE Transactions on Medical Imaging
, Vol. 28, (9) : 1375-1383
Garpebring, Anders; Östlund, Nils; Karlsson, Mikael
2009
Signal processing of the surface electromyogram to gain insight into neuromuscular physiology.
Philosophical Transactions. Series A: Mathematical, physical, and engineering science
, Vol. 367, (1887) : 337-356
Karlsson, J Stefan; Roeleveld, Karin; Grönlund, Christer; et al.
2008
Firing rate and conduction velocity of single motor units in the trapezius muscle in fibromyalgia patients and healthy controls
Journal of Electromyography & Kinesiology
, Elsevier 2008, Vol. 18, (5) : 707-716
Gerdle, Björn; Östlund, Nils; Grönlund, Christer; et al.
2008
Spatio-temporal processing of surface EMG signals from the sternocleidomastoideus muscle to assess effects of radiotherapy on motor unit conduction velocity and firing rate: a pilot study
Biomedical Signal Processing and Control
, Elsevier 2008, Vol. 3, (2) : 163-168
Grönlund, Christer; Östlund, Nils; Lindh, Jack; et al.
2007
Adaptive spatio-temporal filtering of disturbed ECGs: a multi-channel approach to heartbeat detection in smart clothing.
Medical and Biological Engineering and Computing
, Vol. 45, (6) : 515-523
Wiklund, Urban; Karlsson, Marcus; Östlund, Nils; et al.
2007
Wavelet Coherence Detects Non-autonomic Heart Rate Fluctuations in Familial Amyloidotic Polyneuropathy
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
, IEEE conference proceedings 2007, Vol. 1 : 4660-4662
Östlund, Nils; Suhr, Ole B; Wiklund, Urban
2006
Adaptive spatio-temporal filtering of multichannel surface EMG signals
Medical and Biological Engineering and Computing
, Vol. 44, (3) : 209-215
Östlund, Nils; Yu, Jun; Karlsson, Stefan
2005
Simultaneous estimation of muscle fibre conduction velocity and muscle fibre orientation using 2D multichannel surface electromyogram
Medical and Biological Engineering and Computing
, Vol. 43, (1) : 63-70
Grönlund, Christer; Östlund, Nils; Roeleveld, Karin; et al.
2005
Adaptive spatio-temporal filtration of bioelectrical signals
Proceedings of The 27th Annual International Conferenceof the IEEE Engineering in Medicine and Biology Society
, New York: IEEE Press 2005 : 5983-5986
Östlund, Nils; Wiklund, Urban; Yu, Jun; et al.
View publications in DiVA
Research projects
1 January 2020 until 31 December 2025
Can ear disease diagnostics be improved and made accessible with digital technologies and artificial intelligence? - eHEar
+ Show more
- Show less