Great minaturization application that will make a positive impact. I can also see this for monitoring sports atheletes during their workouts and reporting data in real time. This might also be useful too for neo-natal applications to help prevent sudden crib death.
Imagine being able to monitor your EEG and email the result directly to your doctor. This is MUCH faster and more effieient than today where you go to your doctor, wait in the office, wait again in the examining room, talk to the doctor, and finally, get the EEG done. And the wearable EEG could provide data 24/7, unlike the doctor visit EEG.
Innovations like this will pave the way to more convenient and efficient health care delivery, while at the same time lowering costs. Products like this are a better answer to the high cost of health care than bloated solutions managed by bearucrats the government wants to provide.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.
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.