Federica Scarpellini

foto profilo di Federica Scarpellini, Data Scientist in Human and Rehabilitation Sciences

Human Movement and Rehabilitation Scientist

I apply machine learning and data analysis techniques to human-recorded data to explore movement and behavior in clinical context. I translate complex data into meaningful visualizations to explore the neuroscience of movement and enhance patient care.

Fonte: www.ltu.se..

Projects

Identifying Subgroups in Stroke Survivors
Identifying Subgroups in Stroke Survivors

Unsupervised machine learning can uncover meaningful subgroups in stroke survivors based on kinematic data.

Identifying Subgroups in Stroke Survivors
Variational Autoencoder: Linking Latent Features to Kinematic Patterns

Latent dimensions in a VAE can explain specific features of kinematic patterns in human movement.

Identifying Subgroups in Stroke Survivors
Goal-Directed Actions vs. Simple Movements

Goal-directed movements activate different neural patterns than identical movements without a goal.

Skills

img skills matlab
Matlab
img skills python
Python/Pytorch
img skills Tensorflow
Tensorflow
img skills data visualizations
Data Visualizations
img skills data Storytelling
Data Storytelling