Open Access Dataset and Toolbox of High-Density Surface Electromyogram Recordings

Description

We provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG) Recordings (named "Hyser"). We acquired data from 20 subjects with each subject participating in our experiment twice on separate days following the same experiment paradigm. Our Hyser dataset contains five sub-datasets: (1) pattern recognition (PR) dataset acquired during 34 hand gestures, (2) maximal voluntary muscle contraction (MVC) dataset while subjects contracted each individual finger, (3) one-degree of freedom (DoF) dataset acquired during force-varying contraction of each individual finger, (4) N-DoF dataset acquired during prescribed contractions of combinations of multiple fingers, and (5) random task dataset acquired during random contraction of combinations of fingers without any prescribed force trajectory. Sub-dataset 1 can be used for gesture recognition studies. Sub-datasets 2-5 also recorded individual finger forces, thus can be used for studies on proportional control of neuroprostheses.

Update Frequency

Not updated

License

Open Data Commons Attribution License v1.0

Documentation

https://doi.org/10.13026/hxan-pe94

Managed By

PhysioNet

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Contact

https://physionet.org/about/#contact_us

How to Cite

Open Access Dataset and Toolbox of High-Density Surface Electromyogram Recordings was accessed on DATE from https://registry.opendata.aws/hd-semg.