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Updated: Jan 3, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

Invasive Brain Machine Interface System.

Yile Jin^1,2, Junjun Chen^1,2, Shaomin Zhang^3,4

¹Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China.

Advances in Experimental Medicine and Biology

|November 16, 2019

Summary

This summary is machine-generated.

Invasive brain-machine interfaces (BMI) show promise for restoring motor function in paralyzed individuals. Research progresses from animal models to human clinical trials, highlighting future opportunities and challenges.

Keywords:

Brain-machine interfaces Electrocorticogram Neural decoding Neural ensemble recording Neural stimulation

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Last Updated: Jan 3, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

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Published on: April 18, 2025

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

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Published on: March 10, 2011

Area of Science:

Neuroscience
Biomedical Engineering
Rehabilitation Technology

Background:

Invasive brain-machine interfaces (BMI) offer high spatial-temporal resolution for neural signal recording.
Significant advancements in BMI technology have been observed over the past two decades.
BMI research is transitioning from animal studies to human clinical applications.

Purpose of the Study:

To review the development of BMI technology.
To cover BMI applications in rodent and non-human primate models.
To discuss pilot BMI studies in human clinical trials.

Main Methods:

Review of literature on BMI development.
Categorization of studies based on animal models (rodents, non-human primates).
Analysis of pilot human clinical trials.

Main Results:

Successful application of BMI in animal research.
Emerging clinical trials demonstrating BMI potential in humans.
Identification of key developmental stages from basic research to clinical translation.

Conclusions:

BMI technology has demonstrated significant progress, particularly in animal models.
The transition to human clinical trials marks a critical advancement for restoring motor functions.
Future research should address opportunities and challenges for widespread clinical adoption.