![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
![Signal Acquisition [OpenSignals]](https://plux.info/1123-home_default/digital-filtering-pre-process-step.jpg "Signal Acquisition [OpenSignals]")
In this Jupyter Notebook it will be demonstrated how to digital filter the signal.
![Signal Acquisition [OpenSignals]](https://plux.info/1133-home_default/fnirs-sensor-unit-conversion.jpg "Signal Acquisition [OpenSignals]")
The current Jupyter Notebook is dedicated to the unit conversion procedure of signals acquired with fNIRs sensor.
![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.
![Signal Acquisition [OpenSignals]](https://plux.info/1125-home_default/fatigue-evaluation-evolution-of-median-power-frequency.jpg "Signal Acquisition [OpenSignals]")
Raw data contained in the generated .txt, .h5 and .edf files consists in samples and each sample value is in a raw value with 8 or 16 bits that needs to be converted to a physical unit by the respective transfer function.