A 128-Channel FPGA-Based Real-Time Spike-Sorting Bidirectional Closed-Loop Neural Interface System

Miniaturized implantable devices play a crucial role in neural interfaces by monitoring and modulating neural activities on the peripheral and central nervous systems. Research efforts toward a compact wireless closed-loop system stimulating the nerve automatically according to the user's condition have been maintained. These systems have several advantages over open-loop stimulation systems such as reduction in both power consumption and side effects of continuous stimulation. Furthermore, a compact and wireless device consuming low energy alleviates foreign body reactions and risk of frequent surgical operations. Unfortunately, however, the miniaturized closed-loop neural interface system induces several hardware design challenges such as neural activity recording with severe stimulation artifact, real-time stimulation artifact removal, and energy-efficient wireless power delivery. Here, we will review recent approaches toward the miniaturized closed-loop neural interface system with integrated circuit (IC) techniques.

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Real-time Implementation and Application of Hodgkin–Huxley Model in Embedded System of Closed-Loop Electrophysiology Platform

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189439 ◽

2020 ◽

Author(s):

Bo Gong ◽

Jiang Wang ◽

Xile Wei ◽

Siyuan Chang ◽

Ruofan Wang

Keyword(s):

Embedded System ◽

Real Time ◽

Closed Loop

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Faculty Opinions recommendation of Real-time closed-loop control in a rodent model of medically induced coma using burst suppression.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718132854.793484860 ◽

2013 ◽

Author(s):

Ralph Lydic

Keyword(s):

Real Time ◽

Closed Loop ◽

Rodent Model ◽

Burst Suppression ◽

Closed Loop Control ◽

Loop Control

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A Playbook(trademark) for Real-Time, Closed-Loop Control

10.21236/ada439281 ◽

2005 ◽

Cited By ~ 1

Author(s):

Harry Funk ◽

Robert Goldman ◽

Christopher Miller ◽

John Meisner ◽

Peggy Wu

Keyword(s):

Real Time ◽

Closed Loop ◽

Closed Loop Control ◽

Loop Control

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Evaluation of Optimal Vibrotactile Feedback for Force-Controlled Upper Limb Myoelectric Prostheses

Sensors ◽

10.3390/s19235209 ◽

2019 ◽

Vol 19 (23) ◽

pp. 5209 ◽

Cited By ~ 1

Author(s):

Andrea Gonzalez-Rodriguez ◽

Jose L. Ramon ◽

Vicente Morell ◽

Gabriel J. Garcia ◽

Jorge Pomares ◽

...

Keyword(s):

Real Time ◽

Upper Limb ◽

Closed Loop ◽

Fine Tuning ◽

Vibrotactile Feedback ◽

Loop Control ◽

Myoelectric Prostheses ◽

Amplitude Level ◽

Real Time Application ◽

Selection Of

The main goal of this study is to evaluate how to optimally select the best vibrotactile pattern to be used in a closed loop control of upper limb myoelectric prostheses as a feedback of the exerted force. To that end, we assessed both the selection of actuation patterns and the effects of the selection of frequency and amplitude parameters to discriminate between different feedback levels. A single vibrotactile actuator has been used to deliver the vibrations to subjects participating in the experiments. The results show no difference between pattern shapes in terms of feedback perception. Similarly, changes in amplitude level do not reflect significant improvement compared to changes in frequency. However, decreasing the number of feedback levels increases the accuracy of feedback perception and subject-specific variations are high for particular participants, showing that a fine-tuning of the parameters is necessary in a real-time application to upper limb prosthetics. In future works, the effects of training, location, and number of actuators will be assessed. This optimized selection will be tested in a real-time proportional myocontrol of a prosthetic hand.

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