2 channel raw sEMG signal recorded from biceps performing pushup sets

Description
The dataset contains raw surface EMG signals recorded while performing pushups. The Participant first performed 3 sets of 5 pushups. with ~ 45 seconds rest in between. After the initial 3 sets the participant performs a last set till failure. (The first set starts with the participant supporting his weight awaiting a go signal.

Signal Description
The signal consists of  sEMG channels from  left and right biceps 1000Hz. The recording was performed using BTS FREEEMG1000. 

Data Format
Data is  in the from of a list of JSON payloads each consisting of 200 data points each. 

Minimum Recomended data processing procedures
Pre-Preperation --> Convert from JSON to DataFrame
Band pass filter --> 20 - 450 Hz
Notch filter --> 50Hz (Power line frequency)

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No's 101093069 (P2CODE) and 101120657(ENFIELD). Disclaimer: Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the European Commission can be held responsible for them.

Citation 
The users of this dataset are kindly asked to cite the following paper:
Syed, D.A., Quadrini, W., Rahmani Choubeh, N., Pinzone, M., Gusmeroli, S. (2025). Approaching Interoperability and Data-Related Processing Issues in a Human-Centric Industrial Scenario. In: Presser, M., Skarmeta, A., Krco, S., González Vidal, A. (eds) Global Internet of Things and Edge Computing Summit. GIECS 2024. Communications in Computer and Information Science, vol 2328. Springer, Cham. https://doi.org/10.1007/978-3-031-78572-6_2