Goncola,
*Ref: Do you have a theory on why your model performance degrades with time*
*"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."*

If the reason is new information that was not previously modeled, Then HTM
may help as it is can learn continuously much beyond its initial training.
However when you put a system in production use, you may want to somewhat
control learning to have a predictable behavior [Although not everyone
agree here] .

You may want to test this out there are quite a few examples with EEG data
.Here is a link to a hackathon video.
https://www.youtube.com/watch?v=UEh48KOmkIA



Chandan



On Wed, Jan 14, 2015 at 3:55 PM, Gonçalo Sá <[email protected]> wrote:

> 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
>

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