A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
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Updated
Mar 30, 2020 - Python
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
AFAICS from the docs this should work:
- id: my_apply
module: timeflux.nodes.apply
class: ApplyMethod
params:
func: abs
but it fails with Node 'my_apply': __init__() missing 1 required positional argument: 'method', because the signature is
def __init__(self, method, apply_mode='universal',
axis=0, closed='right', func=No
This pulse oximetry shield from ProtoCentral uses the AFE4490 IC to enable your Arduino to measure heart rate as well as SpO2 values.
Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by Subspace Decomposition and Kalman Smoothing", IEEE Transaction on Instrumentation & Measurement.
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MIPT course
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SCENARIO: ALEX or LOGAN is using IBI_VizEdit and they need assistance in understanding what information they can pass to the application when they launch the application
GIVEN: ALEX or LOGAN has a question about the properties of the IBI_VizEdit::run_app() function
WHEN: They run ?IBI_VizEdit::run_app()
THEN: The complete documentation for the function should be displaye
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PhyAAt homepage
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