For all the advances in medical diagnostics made over the last two centuries of modern medicine, from the ability to peer deep inside the body with the help of superconducting magnets to harnessing the power of molecular biology, it seems strange that the enduring symbol of the medical profession is something as simple as the stethoscope. Hardly a medical examination goes by without the frigid kiss of a stethoscope against one’s chest, while we search the practitioner’s face for a telltale frown revealing something wrong from deep inside us.
The stethoscope has changed little since its invention and yet remains a valuable if problematic diagnostic tool. Efforts have been made to solve these problems over the years, but only with relatively recent advances in digital signal processing (DSP), microelectromechanical systems (MEMS), and artificial intelligence has any real progress been made. This leaves so-called smart stethoscopes poised to make a real difference in diagnostics, especially in the developing world and under austere or emergency situations.
Continue reading “Stethoscopes, Electronics, And Artificial Intelligence”
If you are like us, you’ll read a bit more and smack your forehead. Amazon recently filed a patent. That isn’t really news, per se–they file lots of patents, including ones that cover clicking on a button to order something and taking pictures against white backgrounds (in a very specific way). However, this patent is not only a good idea, but one we were surprised didn’t arise out of the hacker community.
There can’t be an invention without a problem and the problem this one solves is a common one: While wearing noise cancelling headphones, you can’t hear things that you want to hear (like someone coming up behind you). The Amazon solution? Let the headphones monitor for programmable keywords and turn off noise cancellation in response to those words. We wonder if you could have a more sophisticated digital signal processor look for other cues like a car horn, a siren, or a scream.
We’ve talked about fixing commercial noise cancelling headphones before. If you don’t mind going low-tech, there’s always the easy way out, but those aren’t likely to accommodate speech recognition.