Revenues for microelectromechanical systems (MEMS) in medical applications will grow at a compounded annual growth rate of 11.4% over the next five years, from $615.8 million in 2001 to $1,057.2 million in 2006, according to In-Stat/MDR, a market research firm. "Despite the tremendous opportunity for MEMS technology, the medical market is a tough nut to crack, with the biggest hurdles being the requirement of FDA approval and a constrictive supply chain that can be a daunting barrier to entry," says Marlene Bourne, a Senior Analyst with In-Stat/MDR. The re-search shows that while MEMS may hold a technological edge, less expensive conventional technologies are often used instead. As a result, MEMS are not currently being used in applications where one might expect to find them, such as cochlear implants, neural stimulators, and micro-needles for blood glucose testing. The greatest opportunity is MEMS sensors, according to Bourne. She notes that needles, probes, and nozzles are also on the verge of rapid growth. An In-Stat/MDR report, "BioMEMS: Revolutionizing Medicine and Healthcare," provides a detailed look at the devices, medical fields, end-use applications, and healthcare trends that may drive the BioMEMS market segment over the next five years. To purchase this report, visit www.instat.com/catalog/cat-esa.htm or contact Erin McKeighan; firstname.lastname@example.org at (480) 609-4551. The report price is $3,495. In-Stat/MDR is a unit of the Reed Elsevier plc group.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.