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This repository has been archived by the owner on Aug 2, 2022. It is now read-only.
For ECG module, I think it's better to have the ability to process multi-lead (or channel) data at the same time as n-d array.
For R peaks detection and correction, it should be more reliable if we consider multi-channel together, because heart beat cycles should be synchronized among all channels. There maybe some research and algorithms though I don't know.
The text was updated successfully, but these errors were encountered:
The initial purpose of the toolbox, regarding ECG signal processing, was to address single-lead signals.
That's why there aren't any methods for multi-lead signals. Multi-lead ECG support is something that certainly could be considered in the future.
What are the use cases that you would be interested in?
@capcarr I am now begin working on classification or automatically diagnosis based on multi-lead ECG signals. The signals, acquired from real world, are in the form of multi channels. So processing them simultaneously would be convenient, like what is done in EEG processing. On the other hand, I guess cross-channel information may provide extra benefit to improve the processing.
Hi,
We are interested in using multiple channels for peak detection. Is there any update on this issue? Are multi lead signal analysis part of the toolkit now or on its way, perhaps?
/SigneKB
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For ECG module, I think it's better to have the ability to process multi-lead (or channel) data at the same time as n-d array.
For R peaks detection and correction, it should be more reliable if we consider multi-channel together, because heart beat cycles should be synchronized among all channels. There maybe some research and algorithms though I don't know.
The text was updated successfully, but these errors were encountered: