![Signal Acquisition [OpenSignals]](https://plux.info/1124-large_default/fatigue-evaluation-evolution-of-median-power-frequency.jpg "Signal Acquisition [OpenSignals]")
![Signal Acquisition [OpenSignals]](https://plux.info/1124-thickbox_default/fatigue-evaluation-evolution-of-median-power-frequency.jpg "Signal Acquisition [OpenSignals]")
NB-PP-02
In this Jupyter Notebook it will be presented the basic methodology to monitoring the fatigue along time.
Fatigue Evaluation - Evolution of Median Power Frequency
In this Jupyter Notebook it will be presented the basic methodology to monitoring the fatigue along time.
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![Signal Acquisition [OpenSignals]](https://plux.info/1131-home_default/event-detection-muscular-activations-emg.jpg "Signal Acquisition [OpenSignals]")
In this Jupyter Notebook it will be presented a single threshold algorithm, that includes the Teager-Kaiser Energy Operator (TKEO) in his implementation.
![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.
![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/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.