update readme
parent
90deccd8ce
commit
2ca1773524
|
@ -188,7 +188,7 @@ With those Classifiers, the hypothesis can be proven, that a classifier is able
|
||||||
Besides that, older people are more likely to receive medical support such as medication and pacemakers which can prevent sinus bradycardia or at least lower its effect.
|
Besides that, older people are more likely to receive medical support such as medication and pacemakers which can prevent sinus bradycardia or at least lower its effect.
|
||||||
The sample size in the study conducted may also play a role in the significance of the frequency.
|
The sample size in the study conducted may also play a role in the significance of the frequency.
|
||||||
|
|
||||||
### Noise reduction
|
## Noise reduction
|
||||||
Noise suppression was performed on the existing ECG data. A three-stage noise reduction was performed to reduce the noise in the ECG signals. First, a Butterworth filter was applied to the signals to remove the high frequency noise. Then a Loess filter was applied to the signals to remove the low frequency noise. Finally, a non-local-means filter was applied to the signals to remove the remaining noise.
|
Noise suppression was performed on the existing ECG data. A three-stage noise reduction was performed to reduce the noise in the ECG signals. First, a Butterworth filter was applied to the signals to remove the high frequency noise. Then a Loess filter was applied to the signals to remove the low frequency noise. Finally, a non-local-means filter was applied to the signals to remove the remaining noise.
|
||||||
|
|
||||||
How the noise reduction was performed in detail can be seen in the following notebook: [noise_reduction.ipynb](notebooks/noise_reduction.ipynb)
|
How the noise reduction was performed in detail can be seen in the following notebook: [noise_reduction.ipynb](notebooks/noise_reduction.ipynb)
|
||||||
|
|
Loading…
Reference in New Issue