-
Hello all, i'm trying to use Neurokit2 to compute features from a dataset of 53 participants that worn PolarH10 devices. Trying to classify some timestamped affect ratings. Would love to find another …
-
### Feature Summary
This feature helps to integrate our ECG image denoising model with an existing classification model.
1. This module will input gray scaled (de-noised) ECG .png files and genera…
-
Hi,
I downloaded and ran the process_ecg.py file correctly but it doesn't produce ECG signals. Here is my output:
-
but in most applications for ecg filtering, we cannot find suitable reference signal. now i want to cut 50/60Hz power line noise wave from real ecg signals, using sinusoid wave as reference signal to…
-
Dunno how else to comment on github (yet), but thank you! I got the bioamp exg pill and thought there'd be a lot of legwork to get a neurofeedback setup going, but looks like it's fairly doable!
-
**Is your feature request related to a problem? Please describe.**
A module for processing electroretinograms signals similar to how the ECG/EEG signal processing module works, but specifically for E…
-
Use this to request the hosting of a Phase 2 lab.
Lab name: Biomedical and Signal Processing Lab
Broad Area: Biotechnology and Biomedical Engineering
Lab Repo URL:
To simulate Electrocardiog…
-
### Setup
- [X] biopac
- [X] sensimetrics
- [X] eyetracker
- [X] game controller
### general notes
All physiological signals looked good during the set-up.
A lot of warnings (frame XX dropped) …
-
A minor issue is that it might be nice to read multi-frequency records at their original sampling rates.
(In the WFDB format, multi-frequency records are accommodated by storing multiple samples per …
-
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…