Important Notice: We are currently experiencing extended lead & delivery times. | More Information
![Signal Acquisition [OpenSignals]](https://plux.info/1131-large_default/event-detection-muscular-activations-emg.jpg "Signal Acquisition [OpenSignals]")
![Signal Acquisition [OpenSignals]](https://plux.info/1131-thickbox_default/event-detection-muscular-activations-emg.jpg "Signal Acquisition [OpenSignals]")
NB-PP-08
In this Jupyter Notebook it will be presented a single threshold algorithm, that includes the Teager-Kaiser Energy Operator (TKEO) in his implementation.
Event Detection - Muscular Activations (EMG)
In this Jupyter Notebook it will be presented a single threshold algorithm, that includes the Teager-Kaiser Energy Operator (TKEO) in his implementation.
Recipient :
* Required fields
or Cancel
In spite of the unit conversion procedure has some common steps applicable to all sensors, the current Jupyter Notebook is dedicated to the unit conversion procedure of signals acquired with ECG sensor.
![Signal Acquisition [OpenSignals]](https://plux.info/1132-home_default/event-detection-r-peaks-ecg.jpg "Signal Acquisition [OpenSignals]")
Heart rate variability analysis is dependent of the detection of ECG R peaks, which is the main topic of the present Jupyter Notebook .
![Signal Acquisition [OpenSignals]](https://plux.info/1137-home_default/emg-analysis-time-and-frequency-parameters.jpg "Signal Acquisition [OpenSignals]")
In this Jupyter Notebook it will be explained how some parameters can be extracted from EMG, both from time and frequency domain.
The current Jupyter Notebook is dedicated to the unit conversion procedure of signals acquired with ECG sensor.