"Clustering of Directions Improves Goodness of Fit in Kinematic Data ..."

Ling Li et al. (2018)

> Home

Details and statistics

DOI: 10.3389/FROBT.2018.00057

access: open

type: Journal Article

metadata version: 2020-10-26

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/firai/LiHPGBWW18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/firai/LiHPGBWW18
Ling Li, John Hartigan, Peter Peduzzi, Peter Guarino, Alexander T. Beed, Xiaotian Wu, Michael Wininger:
Clustering of Directions Improves Goodness of Fit in Kinematic Data Collected in the Transverse Plane During Robot-Assisted Rehabilitation of Stroke Patients. Frontiers Robotics AI 5: 57 (2018)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.