STEM与日常科技·英语30篇（1）

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脑机接口在中风康复中的应用

Brain-computer interfaces (BCIs) record neural signals from the scalp or implanted electrodes to interpret movement intent.
In stroke rehab, BCIs detect when patients imagine moving paralyzed limbs and trigger assistive devices.
For example, imagining hand closure might activate an exoskeleton glove that moves the real hand.
This closed-loop feedback strengthens surviving neural pathways through neuroplasticity over weeks of training.
Clinical trials show BCI-assisted therapy improves motor recovery better than conventional methods alone.
Non-invasive BCIs use EEG caps, while invasive versions offer higher signal resolution but require surgery.
Patients must learn to self-regulate brain activity—a skill that improves with guided mental practice.
Therapists monitor progress using quantitative metrics like signal consistency and movement accuracy.
Future systems may integrate virtual reality to enhance engagement and simulate real-world tasks.
Though still emerging, BCIs offer hope for restoring function where traditional therapy reaches its limits.

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