Päivi Nevalainen

University of Helsinki

Finland

Research Interests

Explore related searches

Professors in Finland

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (18)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (10)

Sampsa Vanhatalo

FINLAND

View details

JOHN THOMAS

Montreal Neurological Institute and Hospital

CANADA

View details

Piia Lönnberg

University of Helsinki

FINLAND

View details

Leena Kämppi

University of Helsinki

FINLAND

View details

Jackie Campbell

University of Northampton

UNITED KINGDOM

View details

Juha Wilenius

University of Helsinki

FINLAND

View details

Harri Piitulainen

Aalto University

FINLAND

View details

Andrea Guzzetta

University of Pisa

ITALY

View details

Aulikki Lano

University of Helsinki

FINLAND

View details

Jukka Vanhanen

University of Helsinki

FINLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Päivi Nevalainen

Research Interests

Explore related searches

Contact this professor

Articles (18)

Visual Features in Stereo‐Electroencephalography to Predict Surgical Outcome: A Multicenter Study

High-frequency oscillations in neonatal EEG and their association with epilepsy

Spinal excitability is enhanced by transcranial magnetic stimulation of the motor cortex in children and adolescents

Clinical outcome prediction with an automated EEG trend, Brain State of the Newborn, after perinatal asphyxia

Quantitative EEG features during the first day correlate to clinical outcome in perinatal asphyxia

Combined value of interictal markers and stimulated seizures to estimate the seizure onset zone in stereoelectroencephalography

Development of a stereo-EEG based seizure matching system for clinical decision making in epilepsy surgery

Seizure Burden and Neurologic Outcomes After Neonatal Encephalopathy

Networks of cortical activity show graded responses to perinatal asphyxia

An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation

Asymmetry in sleep spindles and motor outcome in infants with unilateral brain injury

Poor aEEG background recovery after perinatal hypoxic ischemic encephalopathy predicts postneonatal epilepsy by age 4 years

Sleep State Trend (SST), a bedside measure of neonatal sleep state fluctuations based on single EEG channels

Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy

Ensemble Learning Using Individual Neonatal Data for Seizure Detection

Early oxygen levels contribute to brain injury in extremely preterm infants

Secondary somatosensory cortex evoked responses and 6-year neurodevelopmental outcome in extremely preterm children

Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization

Collaborators (10)

Sampsa Vanhatalo

JOHN THOMAS

Piia Lönnberg

Leena Kämppi

Jackie Campbell

Juha Wilenius

Harri Piitulainen

Andrea Guzzetta

Aulikki Lano

Jukka Vanhanen

Make your next move.