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Classification of Individual Finger Movements Using Intracortical Recordings in Human Motor Cortex by Jorge, Ahmed; Royston, Dylan A; Tyler-Kabara, Elizabeth C; Boninger, Michael L; Collinger, Jennifer L is a Medicine article available to read on EtoBox.

What is Classification of Individual Finger Movements Using Intracortical Recordings in Human Motor Cortex about?

## Background: Intracortical microelectrode arrays have enabled people with tetraplegia to use a brain-computer interface for reaching and grasping. in order to restore dexterous movements, it will be necessary to control individual fingers. ## Objective: To predict which finger a participant with hand paralysis was attempting to move using intracortical data recorded from the motor cortex. ## Methods: A 31-yr-old man with a c5/6 asia b spinal cord injury was implanted with 2 88-channel microelectrode arrays in left motor cortex. across 3 d, the participant observed a virtual hand flex in each finger while neural firing rates were recorded. a 6-class linear discriminant analysis (lda) classifier, with 10 × 10-fold cross-validation, was used to predict which finger movement was being performed (flexion/extension of all 5 digits and adduction/abduction of the thumb). ## Results: The mean overall classification accuracy was 67% (range: 65%-76%, chance: 17%), which occurred at an average of 560 ms (range: 420-780 ms) after movement onset. individually, thumb flexion and thumb adduction were classified with the highest accuracies at 92% and 93%, respectively. the index, middle, ring, an

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Author

Jorge, Ahmed; Royston, Dylan A; Tyler-Kabara, Elizabeth C; Boninger, Michael L; Collinger, Jennifer L

Publisher

Lippincott Williams and Wilkins; Oxford University Press; Lippincott Williams & Wilkins Ltd.; Oxford University Press (OUP); Ovid Technologies (Wolters Kluwer Health) (ISSN 0148-396X)

Published

2020

Language

EN

Field

Medicine (Health Sciences)