Terry Blumenthal is not a medical device designer, but he has an important message for engineers who design defibrillators. The Wake Forest University psychologist is working with cardiologist Charles Swerdlow to find ways of reducing the painful electric shock administered by defibrillators when they activate. "We considered using weaker electric shocks, but that didn't work," says Swerdlow. "Then we tried changing the shape of the waveform, but that has not yet been successful," he explains. They eventually found that when a painless electric "pre-pulse" precedes a painful electric shock, the pre-pulse seems to reduce the body's startle response and minimize pain. "The pre-pulse interrupts everything, including the subsequent processing of pain," says Blumenthal. "It diminishes the neural circuits' ability to respond to subsequent painful stimulus," he says. Testing the hypothesis involved delivering 150V shocks to volunteers, who then rated the shock's painfulness with and without pre-pulses. Although volunteers received the same shock, the painfulness was rated lower with the pre-pulse. "There may be a variety of ways to integrate these finding into other applications using sound, sight, and other modalities," says Blumenthal. For more information, e-mail email@example.com.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
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.
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.