Very interesting development...medical imaging is own by GE, Philips and Siemens...and they usually have little incentive to adopt new hardware platforms...at the same time China and India need cheap diagnostics tools...portable, cheap, small ultrasounds gear could sell in millions as ultrasound is probably the best suited for routine diagnostics as opposed to more siphisticated but also expensive CT, MRI or PET...Kris
Medical imaging is one of the technologies that are ripe for a revolution: advanced sensors, DSP algorithms and computer power to compute, display, store and transmit images are finally here.
I think in few years we'll see USG and other 3D imaging techniques like IR CT filtering down to the individual practice level, and maybe even inexpensive enough for home use.
The move to bring health care to the home is much needed, but it won't happen until the type of scanners and analyzers used in a relatively clean environment in hospitals can not only be integrated into smaller personal medical devices, but also be used safely and reliably in the relatively dirty atmosphere of the average home. There are plenty of consumer medical gadgets that bought off the shelf at a local drugstore. But designing a reliable, secure, and rugged medical device like a personal EKG or ultrasound machine is another matter.
Good to know about such a low-cost development kit. This will, hopefully, enable development of low-cost machines that can be deployed in mass-consumption markets like India & China.
However, a word of caution here - the result should not be a throw-away priced machine that can be used (by quacks) for a purpose that is unwarranted - determination of sex of a baby. In countries like India, it is criminal to determine the sex of a child in the mother's womb, because of female infanticides that have been happening in the past.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.