Sampsa Vanhatalo - researchr alias

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Viewing Publication 1 - 26 from 26

2023

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable SensorsManu Airaksinen, Sampsa Vanhatalo, Okko Räsänen. sensors, 23(7):3773, April 2023. [doi]

Optimization of time series features to estimate brain age in children from electroencephalographyKartik K. Iyer, James A. Roberts 0002, Michaela Waak, Ajay Kevat, Jasneek Chawla, Leena Lauronen, Sampsa Vanhatalo, Nathan J. Stevenson. embc 2023: 1-4 [doi]

Neonatal cortical activity organizes into transient network states that are affected by vigilance states and brain injuryMohammad Khazaei, Khadijeh Raeisi, Sampsa Vanhatalo, Filippo Zappasodi, Silvia Comani, Anton Tokariev. neuroimage, 279:120342, October 2023. [doi]

A Bedside Method for Measuring Effects of a Sedative Drug on Cerebral Function in Newborn InfantsSofie Nilsson, Anton Tokariev, Marjo Metsäranta, Elisabeth Norman, Sampsa Vanhatalo. sensors, 23(1):444, 2023. [doi]

Analysing heart rate variability in preterm infants: the effect of temporal adjustment of NN peaks and missing dataNathan J. Stevenson, Kartik K. Iyer, Vito Giordano, Katrin Klebermaß-Schrehof, Sampsa Vanhatalo. embc 2023: 1-4 [doi]

Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensorsEinari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen. embc 2023: 1-6 [doi]

2022

Developing Disposable EEG Cap for Infant Recordings at the Neonatal Intensive Care UnitAmirreza Asayesh, Elina Ilén, Marjo Metsäranta, Sampsa Vanhatalo. sensors, 22(20):7869, 2022. [doi]

Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacyKaroliina T. Tapani, Päivi Nevalainen, Sampsa Vanhatalo, Nathan J. Stevenson. cbm, 145:105399, 2022. [doi]

2021

Automated detection of artefacts in neonatal EEG with residual neural networksLachlan Webb, Minna Kauppila, James A. Roberts 0002, Sampsa Vanhatalo, Nathan J. Stevenson. cmpb, 208:106194, 2021. [doi]

2019

Hybrid neonatal EEG seizure detection algorithms achieve the benchmark of visual interpretation of the human expertNathan J. Stevenson, Karoliina T. Tapani, Sampsa Vanhatalo. embc 2019: 5991-5994 [doi]

Time-Varying EEG Correlations Improve Automated Neonatal Seizure DetectionKaroliina T. Tapani, Sampsa Vanhatalo, Nathan J. Stevenson. IJNS, 29(4):1850030, 2019. [doi]

2017

A novel measure of reliability in Diffusion Tensor Imaging after data rejections due to subject motionV. Sairanen, L. Kuusela, Outi Sipilä, Sauli Savolainen, Sampsa Vanhatalo. neuroimage, 147:57-65, 2017. [doi]

2015

2014

Neonatal EEG at scalp is focal and implies high skull conductivity in realistic neonatal head modelsMaryam Odabaee, Anton Tokariev, Siamak Layeghy, Mostefa Mesbah, Paul B. Colditz, Ceon Ramon, Sampsa Vanhatalo. neuroimage, 96:73-80, 2014. [doi]

Measuring Time-Varying Information Flow in Scalp EEG Signals: Orthogonalized Partial Directed CoherenceAmir Omidvarnia, Ghasem Azemi, Boualem Boashash, John M. O'Toole, Paul B. Colditz, Sampsa Vanhatalo. tbe, 61(3):680-693, 2014. [doi]

2013

Spatial patterning of the neonatal EEG suggests a need for a high number of electrodesMaryam Odabaee, Walter J. Freeman, Paul B. Colditz, Ceon Ramon, Sampsa Vanhatalo. neuroimage, 68:229-235, 2013. [doi]

Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI)Okko Räsänen, Marjo Metsäranta, Sampsa Vanhatalo. neuroimage, 69:256-266, 2013. [doi]

2012

EEG amplitude and correlation spatial decay analysis for neonatal head modellingMaryam Odabaee, Siamak Layeghy, Mostefa Mesbah, Ghasem Azemi, Boualem Boashash, Paul B. Colditz, Sampsa Vanhatalo. isspa 2012: 882-887 [doi]

Orthogonalized Partial Directed Coherence for Functional Connectivity Analysis of Newborn EEGAmir Omidvarnia, Ghasem Azemi, Boualem Boashash, John M. O'Toole, Paul B. Colditz, Sampsa Vanhatalo. iconip 2012: 683-691 [doi]

Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEGAmir Omidvarnia, Sampsa Vanhatalo, Mostefa Mesbah, Ghasem Azemi, Paul B. Colditz, Boualem Boashash. isspa 2012: 274-279 [doi]

Generalised phase synchrony within multivariate signals: An emerging concept in time-frequency analysisAmir Omidvarnia, Boualem Boashash, Ghasem Azemi, Paul B. Colditz, Sampsa Vanhatalo. icassp 2012: 3417-3420 [doi]

Phase synchrony in the early preterm EEG: Development of methods for estimating synchrony in both oscillations and eventsAnton Tokariev, Kirsi Palmu, Aulikki Lano, Marjo Metsäranta, Sampsa Vanhatalo. neuroimage, 60(2):1562-1573, 2012. [doi]

2007

Ictal localization by source analysis of infraslow activity in DC-coupled scalp EEG recordingsJohn W. Miller, Wonsuk Kim, Mark D. Holmes, Sampsa Vanhatalo. neuroimage, 35(2):583-597, 2007. [doi]

2006

Dynamics of human neocortex that optimizes its stability and flexibilityWalter J. Freeman, Mark D. Holmes, G. Alexander West, Sampsa Vanhatalo. ijis, 21(9):881-901, 2006. [doi]

2003

Topography and elimination of slow EEG responses related to tongue movementsSampsa Vanhatalo, J. Voipio, A. Dewaraja, Mark D. Holmes, J. W. Miller. neuroimage, 20(2):1419-1423, 2003. [doi]

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