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Tarmo Lipping
Tarmo Lipping
Tampere University of Technology
Verified email at tuni.fi
Title
Cited by
Cited by
Year
Comparison of entropy and complexity measures for the assessment of depth of sedation
R Ferenets, T Lipping, A Anier, V Jantti, S Melto, S Hovilehto
IEEE Transactions on Biomedical Engineering 53 (6), 1067-1077, 2006
2632006
Crop yield prediction with deep convolutional neural networks
P Nevavuori, N Narra, T Lipping
Computers and electronics in agriculture 163, 104859, 2019
1622019
Behavior of entropy/complexity measures of the electroencephalogram during propofol-induced sedation: dose-dependent effects of remifentanil
R Ferenets, A Vanluchene, T Lipping, B Heyse, MMRF Struys
The Journal of the American Society of Anesthesiologists 106 (4), 696-706, 2007
842007
Non-linear algorithms for processing biological signals
S Cerutti, G Carrault, PJM Cluitmans, A Kinie, T Lipping, N Nikolaidis, ...
Computer methods and programs in biomedicine 51 (1-2), 51-73, 1996
641996
Propofol and remifentanil differentially modulate frontal electroencephalographic activity
DTJ Liley, NC Sinclair, T Lipping, B Heyse, HEM Vereecke, MMRF Struys
The Journal of the American Society of Anesthesiologists 113 (2), 292-304, 2010
532010
Comparison of the properties of EEG spindles in sleep and propofol anesthesia
R Ferenets, T Lipping, P Suominen, J Turunen, P Puumala, V Jantti, ...
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
422006
Remote sensing of forest health
J Tuominen, T Lipping, V Kuosmanen, R Haapanen
Geoscience and remote sensing, 29-52, 2009
412009
Higuchi fractal dimension and spectral entropy as measures of depth of sedation in intensive care unit
A Anier, T Lipping, S Melto, S Hovilehto
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
412004
Relationship between approximate entropy and visual inspection of irregularity in the EEG signal, a comparison with spectral entropy
A Anier, T Lipping, R Ferenets, P Puumala, E Sonkajärvi, I Rätsep, ...
British journal of anaesthesia 109 (6), 928-934, 2012
332012
Crop yield prediction using multitemporal UAV data and spatio-temporal deep learning models
P Nevavuori, N Narra, P Linna, T Lipping
Remote Sensing 12 (23), 4000, 2020
262020
Effects of hypoxia on the complexity of respiratory patterns during maturation
M Akay, T Lipping, K Moodie, PJ Hoopes
Early human development 70 (1-2), 55-71, 2002
262002
Patient-specific seizure detection using nonlinear dynamics and nullclines
M Zabihi, S Kiranyaz, V Jäntti, T Lipping, M Gabbouj
IEEE journal of biomedical and health informatics 24 (2), 543-555, 2019
222019
Neural mass model-based tracking of anesthetic brain states
L Kuhlmann, DR Freestone, JH Manton, B Heyse, HEM Vereecke, ...
NeuroImage 133, 438-456, 2016
202016
Assessment of objective voice quality over best-effort networks
J Turunen, P Loula, T Lipping
Computer communications 28 (5), 582-588, 2005
182005
Adaptive segmentation of burst-suppression pattern in isoflurane and enflurane anesthesia
T Lipping, V Jäntti, A Yli-Hankala, K Hartikainen
International journal of clinical monitoring and computing 12 (3), 161-167, 1995
181995
Entropy of the EEG in transition to burst suppression in deep anesthesia: Surrogate analysis
A Anier, T Lipping, V Jäntti, P Puumala, AM Huotari
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
162010
Detection of environmental change using hyperspectral remote sensing at Olkiluoto repository site
J Tuominen, T Lipping
Posiva Oy, 2011
152011
DC-level detection of burst-suppression EEG
T Lipping, P Loula, V Jäntti, A Yli-Hankala
Methods of information in medicine 33 (01), 35-38, 1994
141994
Spectral characteristics of common reed beds: studies on spatial and temporal variability
J Tuominen, T Lipping
Remote Sensing 8 (3), 181, 2016
132016
Prediction of outcome in traumatic brain injury patients using long-term qEEG features
A Mikola, I Rätsep, M Särkelä, T Lipping
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
132015
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Articles 1–20