EMBCConfig

class myoverse.datasets.presets.EMBCConfig(sampling_frequency=2048.0, window_size=192, lowpass_cutoff=20.0, lowpass_order=4, n_electrode_grids=5, test_ratio=0.2, val_ratio=0.2)

Configuration matching EMBC 2022 paper.

References

[1] Simpetru, R.C., et al., 2022. Accurate Continuous Prediction of

14 Degrees of Freedom of the Hand from Myoelectrical Signals through Convolutive Deep Learning. EMBC 2022, pp. 702-706.

Methods

__eq__(other)	Return self==value.
__init__([sampling_frequency, window_size, ...])
__repr__()	Return repr(self).

Parameters:

• sampling_frequency (float)

• window_size (int)

• lowpass_cutoff (float)

• lowpass_order (int)

• n_electrode_grids (int)

• test_ratio (float)

• val_ratio (float)