3-D Hand Movement Reconstructed Using Brain Signals: Future Portable
Prosthetic Devices for Movement-Impaired
ScienceDaily (Mar. 8, 2010) — Researchers have successfully reconstructed
3-D hand motions from brain signals recorded in a non-invasive way, according
to a study in the March 3 issue of The Journal of Neuroscience. This finding
uses a technique that may open new doors for portable brain-computer
interface systems. Such a non-invasive system could potentially operate a
robotic arm or motorized wheelchair -- a huge advance for people with
disabilities or paralysis.
Until now, to reconstruct hand motions, researchers have used non-portable
and invasive methods that place sensors inside the brain. In this study, a
team of neuroscientists led by José Contreras-Vidal, PhD, of the University
of Maryland, College Park, placed an array of sensors on the scalps of five
participants to record their brains' electrical activity, using a process
called electroencephalography, or EEG. Volunteers were asked to reach from a
center button and touch eight other buttons in random order 10 times, while
the authors recorded their brain signals and hand motions. Afterward, the
researchers attempted to decode the signals and reconstruct the 3-D hand
movements.
"Our results showed that electrical brain activity acquired from the scalp
surface carries enough information to reconstruct continuous, unconstrained
hand movements," Contreras-Vidal said.
The researchers found that one sensor in particular (of the 34 used) provided
the most accurate information. The sensor was located over a part of the
brain called the primary sensorimotor cortex, a region associated with
voluntary movement. Useful signals were also recorded from another region
called the inferior parietal lobule, which is known to help guide limb
movement. The authors used these findings to confirm the validity of their
methods.
This study has implications for future brain-computer interface technologies
and for those already in existence. "It may eventually be possible for people
with severe neuromuscular disorders, such as amyotrophic lateral sclerosis
(ALS), stroke, or spinal cord injury, to regain control of complex tasks
without needing to have electrodes implanted in their brains," said Jonathan
Wolpaw, MD, of the New York State Department of Health's Wadsworth Center in
Albany, who was unaffiliated with the study. "The paper enhances the
potential value of EEG for laboratory studies and clinical monitoring of
brain function."
The findings could also help improve existing EEG-based systems designed to
allow movement-impaired people to control a computer cursor with just their
thoughts. These systems now require that users undergo extensive training
sessions. Contreras-Vidal said the length of this training could be reduced
and more effortless control achieved using the methods in this study.
The research was supported by the Paris-based La Fondation Motrice.
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原始網址：
http://www.sciencedaily.com/releases/2010/03/100302171521.htm
論文：http://www.jneurosci.org/cgi/content/abstract/30/9/3432
幾個重點：
1.本篇利用EEG訊號來重建手的移動，在此之前只有侵入式電極才可以達到。
2.五個受試者，做由中央到四周八個點的運動。但深度有設計過，所以可以達到三維運動
。網頁有圖示。
3.靠近primary sensorimotor cortex的訊號，會比較準確。
4.可以用來幫助中風或漸凍人等疾病。
去翻了翻論文，我覺得這篇decoding EEG signal會是重點。出乎意外的，似乎只用一個
linear model做，不是分類器之類的方法。蠻特別的。
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※ 編輯: mulkcs 來自: 140.112.4.200 (03/09 10:51)