Decoding Intrinsic Fluctuations of Engagement From EEG Signals During Fingertip Motor Tasks
Maintaining a high mental engagement is critical for motor rehabilitation interventions. Achieving a flow experience, often conceptualized as a highly engaged mental state, is an ideal goal for motor rehabilitation tasks. This paper proposes a virtual reality-based fine fingertip motor task in which...
Saved in:
| Main Authors: | Bohao Tian, Shijun Zhang, Dinghao Xue, Sirui Chen, Yuru Zhang, Kaiping Peng, Dangxiao Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10929663/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Decoding Pain Dynamics: EEG Insights into Neural Responses and Classification via RQA Analysis
by: Mahsa Tavasoli, et al.
Published: (2025-07-01) -
Intrinsic regular surfaces in Carnot groups
by: Daniela Di Donato
Published: (2025-01-01) -
Static and temporal dynamic changes of intrinsic brain activity in early-onset and adult-onset schizophrenia: a fMRI study of interaction effects
by: Jingli Chen, et al.
Published: (2024-11-01) -
Adaptive deep feature representation learning for cross-subject EEG decoding
by: Shuang Liang, et al.
Published: (2024-12-01) -
EEG and Diet Related Migraine
by: J Gordon Millichap
Published: (1989-03-01)