def METHOD_NAME():
    sampling_rate = 1000
    emg = nk.emg_simulate(duration=10, sampling_rate=1000, burst_number=3)
    emg_summary, _ = nk.emg_process(emg, sampling_rate=sampling_rate)
    # Plot data over samples.
    fig = nk.emg_plot(emg_summary)
    assert len(fig.axes) == 2
    titles = ["Raw and Cleaned Signal", "Muscle Activation"]
    for (ax, title) in zip(fig.get_axes(), titles):
        assert ax.get_title() == title
    assert fig.get_axes()[1].get_xlabel() == "Samples"
    np.testing.assert_array_equal(fig.axes[0].get_xticks(), fig.axes[1].get_xticks())
    plt.close(fig)
    # Plot data over time.
    fig = nk.emg_plot(emg_summary, sampling_rate=sampling_rate)
    assert fig.get_axes()[1].get_xlabel() == "Time (seconds)"