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Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS
Published on: June 7, 2024
Brain activation in parietal area during manipulation with a surgical robot simulator
Satoshi Miura1, Yo Kobayashi, Kazuya Kawamura
1Department of Modern Mechanical Engineering, Waseda University, Room 309, Bld. 59, 3-4-1 Okubo, Shinjuku, Tokyo, 169-8555, Japan, miura-s@akane.waseda.jp.
This study quantifies surgical robot embodiment by measuring brain activity. A 75° view angle significantly impacted intraparietal sulcus activation, suggesting optimal hand-eye coordination.
Area of Science:
- Neuroscience
- Robotics
- Human-Computer Interaction
Background:
- Master-slave surgical robots offer remote manipulation capabilities.
- Quantifying the sense of embodiment in robotic surgery is crucial for user performance and safety.
- Physical differences between master and slave robots can affect user embodiment.
Purpose of the Study:
- To evaluate the sense of embodiment in surgical robot manipulation.
- To measure brain activity, specifically intraparietal sulcus activation, in response to varying physical differences in surgical robots.
- To explore how changes in the optical axis-to-target view angle affect embodiment and hand-eye coordination.
Main Methods:
- Utilized functional near-infrared spectroscopic topography (f-NIRS) to monitor brain activity.
- Seven subjects performed simulated surgical tasks involving needle insertion.
- Experiments varied the optical axis-to-target view angle to alter manipulator appearance and assess embodiment.
Main Results:
- A significant peak in brain activation was observed in some participants at a 75° optical axis-to-target view angle (P=0.037).
- This suggests a specific angle may enhance the user's sense of embodiment during robotic surgery.
Conclusions:
- The 75° optical axis-to-target view angle appears to create a positional relationship between manipulators and the endoscope that closely mimics natural human hand-eye coordination.
- This finding has implications for optimizing surgical robot design to improve user embodiment and surgical performance.
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