Neuroprosthetics, a technology that allows the brain to control external devices such as robotic limbs, is beginning to emerge as a viable option for patients disabled by amputation or neurological conditions such as stroke.
In recent years, technology’s allure has drawn in an increasing number of individuals, promising a faster and easier life. Now, some pioneers are venturing a step further, merging their bodies with technology to enhance their capabilities and extend their sensory perception, giving rise to real-life cyborgs.
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Diamond is a promising material for the biomedical field, mainly due to its set of characteristics such as biocompatibility, strength, and electrical conductivity. Diamond can be synthesised in the laboratory by different methods, is available in the form of plates or films deposited on foreign substrates, and its morphology varies from microcrystalline diamond to ultrananocrystalline diamond. In this review, we summarise some of the most relevant studies regarding the adhesion of cells onto diamond surfaces, the consequent cell growth, and, in some very interesting cases, the differentiation of cells into neurons and oligodendrocytes. We discuss how different morphologies can affect cell adhesion and how surface termination can influence the surface hydrophilicity and consequent attachment of adherent proteins.
Whether it’s a powered prosthesis to assist a person who has lost a limb or an independent robot navigating the outside world, we are asking machines to perform increasingly complex, dynamic tasks. But the standard electric motor was designed for steady, ongoing activities like running a compressor or spinning a conveyor belt – even updated designs waste a lot of energy when making more complicated movements.
Researchers at Stanford University have invented a way to augment electric motors to make them much more efficient at performing dynamic movements through a new type of actuator, a device that uses energy to make things move. Their actuator, published March 20 in Science Robotics, uses springs and clutches to accomplish a variety of tasks with a fraction of the energy usage of a typical electric motor.
“Rather than wasting lots of electricity to just sit there humming away and generating heat, our actuator uses these clutches to achieve the very high levels of efficiency that we see from electric motors in continuous processes, without giving up on controllability and other features that make electric motors attractive,” said Steve Collins, associate professor of mechanical engineering and senior author of the paper.
Elon Musk’s Neuralink recently implanted a chip in a human for the first time. The emerging market of brain computer interfaces, or BCIs, is in the process of finding its footing. In a world where AI is on the rise, BCIs allow for telepathic control of computers and wireless operation of prosthetics. But how does this tech work?
WSJ goes inside a brain surgery to see how the implants work, and breaks down what it’s going to take to get these devices on the market.
Continue reading “Neuralink’s Rival Tests Brain Chip in Race to Bring Implants to Market” »
This robot is equipped with AI-backed deep learning algorithms to autonomously manage assisting users with underlying physiological conditions.
The robot illustrated seamless functioning that supports users in walking, standing, and climbing stairs or ramps. Scientists call it, a “unified control framework.”
Whether it’s a powered prosthesis to assist a person who has lost a limb or an independent robot navigating the outside world, we are asking machines to perform increasingly complex, dynamic tasks. But the standard electric motor was designed for steady, ongoing activities like running a compressor or spinning a conveyor belt—even updated designs waste a lot of energy when making more complicated movements.
Researchers at Stanford University have invented a way to augment electric motors to make them much more efficient at performing dynamic movements through a new type of actuator, a device that uses energy to make things move. Their actuator, published in Science Robotics, uses springs and clutches to accomplish a variety of tasks with a fraction of the energy usage of a typical electric motor.
Robotic exoskeletons designed to help humans with walking or physically demanding work have been the stuff of sci-fi lore for decades. Remember Ellen Ripley in that Power Loader in “Alien”? Or the crazy mobile platform George McFly wore in 2015 in “Back to the Future, Part II” because he threw his back out?
There’s a lot to like about brain-computer interfaces, those sci-fi-sounding devices that jack into your skull and turn neural signals into software commands. Experimental BCIs help paralyzed people communicate, use the internet, and move prosthetic limbs. In recent years, the devices have even gone wireless. If mind-reading computers become part of everyday life, we’ll need doctors to install the tiny electrodes and transmitters that make them work. So if you have steady hands and don’t mind a little blood, being a BCI surgeon might be a job for you.
Shahram Majidi, a neurosurgeon at Mount Sinai Hospital in New York, began operating in clinical trials for a BCI called the Stentrode in 2022. (That’s “stent” as in a tube that often sits inside a vein or artery.) Here he talks about a not-too-distant future where he’s performing hundreds of similar procedures a year.
Brain-computer interfaces have been around for a few decades, and there are different kinds of implants now. Some have electrodes attached to your brain with wires sticking out of your head and connecting to a computer. I think that’s great as a proof of concept, but it requires an engineer sitting there and a big computer next to you all the time. You can’t just use it in your bedroom. The beauty of a BCI like the Stentrode, which is what I’ve worked with, is that nothing is sticking out of your brain. The electrodes are in blood vessels next to the brain, and you get there by going through the patient’s jugular. The receiver is underneath the skin in their chest and connected to a device that decodes the brain signals via Bluetooth. I think that’s the future.
