Manu Airaksinen

Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors.

An Open Source Classifier for Bed Mattress Signal in Infant Sleep Monitoring.

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

Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants.

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

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors.

Charting infants' motor development at home using a wearable system: validation and comparison to physical growth charts.

Automatic assessment of infant carrying and holding using at-home wearable recordings.

Corrigendum: Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization.