Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's disease: A proof of concept study.
Optimal placement of deep brain stimulation (DBS) therapy for treating movement disorders routinely relies on intraoperative motor testing for target determination. However, in current practice, motor testing relies on subjective interpretation and correlation of motor and neural information. Recent...
Saved in:
| Main Authors: | Sunderland Baker, Anand Tekriwal, Gidon Felsen, Elijah Christensen, Lisa Hirt, Steven G Ojemann, Daniel R Kramer, Drew S Kern, John A Thompson |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0275490 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Upper limb kinematic measurement using markerless motion capturing (MMC) in stroke survivors: A cross-sectional experimental study
by: Winnie WT Lam, et al.
Published: (2025-06-01) -
Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems
by: Changzhi Yang, et al.
Published: (2025-05-01) -
Deep brain stimulation for the treatment of substance use disorders: a promising approach requiring caution
by: Joseph T. Sakai, et al.
Published: (2024-07-01) -
Corrigendum: Deep brain stimulation for the treatment of substance use disorders: a promising approach requiring caution
by: Joseph T. Sakai, et al.
Published: (2025-05-01) -
Comparison of Marker- and Markerless-Derived Lower Body Three-Dimensional Gait Kinematics in Typically Developing Children
by: Henrike Greaves, et al.
Published: (2025-07-01)