Hi there guys, I was roaming through the net today and noticed Numenta for the first time.
I’ve glanced over the whole idea of HTM and speed read the first chapters of On Intelligence and found it so amazing I knew I had to dig deeper. To give you some background before I lay my question: I’m working on an inexpensive wearable blood pressure sensor with some more colleagues as a personal project. It should be simple enough, the catch is that we want to make it cuffless. Although a good amount of papers has already leaned on the subject no one has made significant breakthrough when it comes to measuring SBP only through a small array of biometric sensors (in our case very small, to make the device inexpensive). We are using streaming temporal data coming from an ECG sensor and a oximeter/PPG sensor alone and although we’re capable of tuning the algorithm to perform really well on the first few days the model degrades as longer periods of time go by. So, to sum it up: Would I benefit something in predictive accuracy of the algo if I were to change to HTM? My readings so far have revealed fruitful and I’m getting pumped to try this but would very much like to hear your opinions first! :) Gonçalo Sá
