Offline Evaluation Matters: Investigation of the Influence of Offline Performance on Real-Time Operation of Electromyography-Based Neural-Machine Interfaces

Offline Evaluation Matters: Investigation of the Influence of Offline Performance on Real-Time Operation of Electromyography-Based Neural-Machine Interfaces

There has been a debate on the most appropriate way to evaluate electromyography (EMG)-based neural-machine interfaces (NMIs). Accordingly, this study examined whether a relationship between offline kinematic predictive accuracy (R2) and user real-time task performance while using the interface coul...

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Bibliographic Details
Main Authors: Robert M. Hinson, Joseph Berman, William Filer, Derek Kamper, Xiaogang Hu, He Huang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Electromyography
machine learning
neural–machine interface
offline analysis
real-time performance
Online Access:https://ieeexplore.ieee.org/document/9983972/

Internet

https://ieeexplore.ieee.org/document/9983972/

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