>That seemed incredibly expensive. I haven’t done much electronics, but digital signal processing doesn’t seem that expensive?
The cost is in R&D, not just for human trials but for DSP engineer salaries. It's an extremely specialized skillset and the companies that hire for it look for PhDs most of the time.
In particular, optimizing adaptive filtering to clock in the dozens of cycles per buffer with fixed point DSPs to maximize battery life, while providing features like feedback reduction, noise cancellation, working around the infamous "cocktail party" problem, with modern features like Bluetooth... all with audio fidelity on par with some serious audiophile gear.
My understanding is that there are also some other market forces too like very long lifecycle management and low volumes for new products, but idk how real that is.
Point is, I don't think those devices are really overpriced - at least no more than any other medical device paid for by insurance companies.
EDIT:
I'm reading some of their documents and a few things jump out at me. They mention supporting FFT/IFFTs on the platform. This stands out to me since doing that on a battery powered device is unusual. Firstly because it's not cheap in cycles, and secondly because useful FFTs require rather large buffers of memory which harms your latency, and may come at a premium. When I've seen them required (e.g, a codec), it was typically on a dedicated FPGA with the algorithm burned in, not running on the DSP.