Anyone knows how this is any different from (or better than) using a regular CCD and adaptive optics?
From the article I linked: "Curved electro-optical detectors will enable the development of new optical design configurations that can be smaller than conventional flat-field designs, thereby benefiting many aerospace applications." In other words, with curved detectors, you can use lighter, simpler optics. because they don't have to adapt to (correct for) a flat sensor surface.
All have half-lives measured in hours or days, with the exception of cesium-137
which has a half-life of 30 years.
As it is, I've seen research that shows repeatable quality-of-life improvements from our robotic therapy, and I've been at clinics and hospitals where patients and their families have given me heartfelt thanks for my work, which, while very gratifying, does not count as a controlled repeatable verifiable research result.
then you are saying that exercising stroke vitcim's affected limbs doesn't improve their mobility. Which is kind of a dumb thing to say.
Yes, that's almost what I'm saying - that it doesn't necessarily improve mobility. I work on stroke therapy robots that can move people's limbs around in whatever way we feel makes a difference. Through long research, we have found that some ways make a difference, and other ways do not make a difference.
Our researchers have been working on the problem for 25 years - that is, we have research published back to the mid-1980s, for example:
http://www.jneurosci.org/cgi/content/abstract/5/7/1688
This is a seminal paper by one of our researchers, that spawned the field of rehab robotics. I have already posted other links to research earlier in this thread.
Note well, I'm not a researcher, I write software to control rehab robots. But I know that in our researchers' papers, they do experiments where one group of patients gets beneficial rehabilitative exercises on our robots, and a control group gets non-beneficial "fake" exercises on our robots, where the patient's limbs are moved by the robots, but not in a beneficial way.
So be careful when you use phrases like "It's so obviously likely to be useful."
You imply that I might have a problem with successful results from a competing method, but it's not so. I'm saying there's a difference between "shows promise" and research results, especially from research that has been going on for 25 years, and going on in earnest (it took a while to create and refine the robots) for more than 10 years.
I've been working on this problem for 10 years (as a software designer, not a neuroscience researcher) and researchers who use our robots have many studies that show patient improvement, but this comes from providing controlled rehabilitation exercises, not just by driving their limbs with an exoskeleton. I think research indicates that the rehab benefit comes from having the patients work to control their own limbs (with assistance and guidance if necessary from a robot or therapist) rather than by just driving the limbs without the patient working the neural paths.
refs:
N Engl J Med 2010; 362:1772-1783 May 13, 2010
http://www.nejm.org/doi/full/10.1056/NEJMoa0911341
http://www.interactive-motion.com/clinical_research.htm
All your files have been destroyed (sorry). Paul.