Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

Nastaran Mohammadian Rad*, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)180-191
Number of pages12
JournalSignal Processing
Volume144
DOIs
Publication statusPublished - Mar 2018

Keywords

  • Convolutional neural networks
  • Long short-term memory
  • Transfer learning
  • Ensemble learning
  • Wearable sensors
  • Autism spectrum disorders
  • CHILDREN
  • RECOGNITION
  • BEHAVIOR
  • ACCELEROMETRY
  • NETWORKS
  • MODELS
  • TERM

Cite this

Rad, N. M., Kia, S. M., Zarbo, C., van Laarhoven, T., Jurman, G., Venuti, P., Marchiori, E., & Furlanello, C. (2018). Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders. Signal Processing, 144, 180-191. https://doi.org/10.1016/j.sigpro.2017.10.011