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Previous research has shown that neuronal activity can be used to continuously decode the kinematics of gross movements involving arm and hand trajectory. However, decoding the kinematics of fine motor movements, such as the manipulation of individual fingers, has not been demonstrated. In this study, single unit activities were recorded from task-related neurons in M1 of two trained rhesus monkey...
This paper analyzes different computational methods for real-time decoding of neural signals in primary motor cortex (M1). Specifically, we compare different classifiers as well as different Principal Component Analysis (PCA)-based pre-classification strategies to identify how to proceed in terms of the necessary trade-off between computational complexity and accuracy. Our methods are applied to neural...
This paper introduces a new quality controlled Discrete Cosine transform (DCT) and Laplacian Pyramid based compression method for electrocardiogram (ECG) signal. The ECG signal is transformed using DCT and Laplacian Pyramid. The transformed coefficients are thresholded using the bisection algorithm in order to match the predefined user specified percentage root mean square difference (PRD) within...
A new quality controlled Maxlift and Medlift transforms based compression methods for electrocardiogram (ECG) signal are presented. The ECG signal is transformed using Maxlift and Medlift. The transformed coefficients are thresholded using the bisection algorithm in order to match the predefined user specified percentage root mean square difference (PRD) within the tolerance. Then, the binary lookup...
Advances in brain-computer interfaces (BCI) have enabled direct neural control of robotic and prosthetic devices. However, it remains unknown whether cortical signals can be decoded in real-time to replicate dexterous movements of individual fingers and the wrist. In this study, single unit activity from 115 task-related neurons in the primary motor cortex (Ml) of a trained rhesus monkey were recorded,...
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