CODEWITHSUNDEEP
androidalgorithmsignalssignal-processingscichart
user4408652
user4408652

Reputation:

Techniques and algorithms for reducing samples count

I am recording the audio stream using AudioRecord class.

I am reading samples to a buffer with size of 2040 samples.

After reading samples, they are processed and reduced to size of 170 samples.

Even in this case there are a lot of samples to draw them in real time, I have not managed to configure SciChart library to show this samples correctly, they are compressed however I need to make a chart wider.

I am processing the ECG signal, therefore, all main components like R peak, QRS complex and other should be left without change.

enter image description here

Is there any techniques that could be applied to reduce samples count, but do not spoil the signal.

I think techniques like moving average won't work, as far they are used for smoothing the signal, however in my case I don't need to smooth it.

I would be grateful for any help.

Thanks.

Upvotes: 1

Views: 118

Answers (1)

Dr. Andrew Burnett-Thompson
Dr. Andrew Burnett-Thompson

Reputation: 21561

SciChart android should be able to draw 2,040 samples in real-time (actually, millions). It includes methods to automatically downsample waveforms without visual loss of data, and in performance benchmarks can draw a million points on Android devices.

Have you got a code sample? Maybe something is wrong in the configuration.

Upvotes: 0

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