3 papers
cs.LG2022
Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy
Karoliina T. Tapani, Päivi Nevalainen, Sampsa Vanhatalo +1
Neonatal seizure detection algorithms (SDA) are approaching the benchmark of human expert annotation. Measures of algorithm generalizability and non-inferiority as well as measures…
cs.CV2021
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors
Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Infant motility assessment using intelligent wearables is a promising new approach for assessment of infant neurophysiological development, and where efficient signal analysis play…
cs.CV2019
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
Manu Airaksinen, Okko Räsänen, Elina Ilén +9
Infants' spontaneous and voluntary movements mirror developmental integrity of brain networks since they require coordinated activation of multiple sites in the central nervous sys…