示例#1
0
def small_sport_kb():
    experiment = model.Experiment()

    # Subjects
    # -----------------------------------------------------------------------------------
    so3 = model.Subject('subject3')
    experiment.put_subject(so3)

    # Setups
    # ===================================================================================
    setup = model.Setup(experiment)
    modality = model.Modality(setup=setup, frequency=4000, identifier='arm')
    model.Sample(modality, 'bizeps')
    model.Sample(modality, 'triceps')
    model.Sample(modality, 'extensor_digitorum')
    model.Sample(modality, 'flexor_digitorum')

    # Sessions
    # ===================================================================================

    # Session 3
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_01.pkl',
                          modality=modality.Identifier)
    t = model.Trial(rec, 0, 4, 'calm')
    t.add_marker((4, 'start_trials'))
    t.add_marker((4.1, 'another'))
    model.Trial(rec, 4, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 8, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 12, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 16, 4, 'hantel1', label='hantel')
    model.Trial(rec, 20, 4, 'hantel2', label='hantel')
    model.Trial(rec, 24, 4, 'hantel3', label='hantel')
    model.Trial(rec, 28, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 32, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 36, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 44, 4, 'max_triceps').add_marker((0, 'start_max_tests'))
    model.Trial(rec, 48, 4, 'max_flexor')
    model.Trial(rec, 52, 4, 'max_bizeps')
    model.Trial(rec, 60, 4, 'max_extensor')

    return experiment
示例#2
0
def create_kb_for_testing():
    experiment = model.Experiment()
    so1 = model.Subject('Robert')
    experiment.put_subject(so1)

    setup = model.Setup(experiment)
    modality1 = model.Modality(setup, 15, identifier='emg')
    model.Sample(modality1, 'm1')
    model.Sample(modality1, 'm2')
    model.Sample(modality1, 'm3')
    model.Sample(modality1, 'm4')

    modality2 = model.Modality(setup, 5, identifier='pos')
    model.Sample(modality2, 'length')
    model.Sample(modality2, 'width')

    session = model.Session(experiment, setup, so1)
    emg_data = np.column_stack(
        (np.arange(0, 150, dtype='float'), np.arange(200, 350, dtype='float'),
         np.arange(400, 550, dtype='float'), np.arange(600, 750,
                                                       dtype='float')))
    recording = model.Recording(session=session,
                                data=emg_data,
                                identifier='emg_recording',
                                modality=modality1.Identifier)
    model.Trial(recording, 1, 2, 'trial1', label='cool')
    model.Trial(recording, 4, 1, 'trial2', label='cool')
    model.Trial(recording, 6, 3, 'trial3', label='hot')

    pos_data = np.column_stack(
        (np.arange(800, 850, dtype='float'), np.arange(900, 950,
                                                       dtype='float')))
    recording = model.Recording(session=session,
                                data=pos_data,
                                identifier='pos_recording',
                                modality=modality2.Identifier)
    model.Trial(recording, 1, 2, 'trial1', label='hot')
    model.Trial(recording, 4, 1, 'trial2', label='hot')
    model.Trial(recording, 6, 3, 'trial3', label='cool')
    return experiment
示例#3
0
def create_kb(data=None):
    if data is None:
        print 'Create new dataset...'
        rec1 = np.arange(100)
        rec1 = np.column_stack((rec1, rec1, rec1))

        rec2 = np.arange(100, 200)
        rec2 = np.column_stack((rec2, rec2, rec2))

        rec3 = np.arange(200, 300)
        rec3 = np.column_stack((rec3, rec3, rec3))

        data = np.row_stack((rec1, rec2, rec3))
    df = pd.DataFrame(data, dtype='float')

    experiment = model.Experiment()

    # Subjects
    #==========
    so1 = model.Subject('Robert')
    so2 = model.Subject('Therese')
    so3 = model.Subject('Michael')
    experiment.put_subject(so1)
    experiment.put_subject(so2)
    experiment.put_subject(so3)

    # Setups
    # =======
    setup = model.Setup(experiment)
    modality = model.Modality(setup, 1, 'arm')
    model.Sample(modality, 'bizeps')
    model.Sample(modality, 'trizeps')

    modality = model.Modality(setup, 'leg')
    model.Sample(modality, 'gluteus maximus')

    # Sessions
    # =========

    # Session1
    #---------
    session = model.Session(experiment, setup, so1)
    recording = model.Recording(session=session, data=df)
    model.Trial(recording, 10, 10, 'curl_simple')
    model.Trial(recording, 30, 11, 'squat')
    model.Trial(recording, 50, 12, 'curl_difficult')
    model.Trial(recording, 70, 20, 'leg_lever')

    # Session 2
    # ----------
    df = pd.DataFrame(np.copy(data), dtype='float')
    session = model.Session(experiment, setup, so2)
    recording = model.Recording(session=session, data=df)
    model.Trial(recording, 10, 10, 'curl_simple')
    model.Trial(recording, 30, 11, 'squat')
    model.Trial(recording, 50, 12, 'curl_difficult')
    model.Trial(recording, 70, 20, 'leg_lever')

    df = pd.DataFrame(np.copy(data), dtype='float')
    recording = model.Recording(session=session, data=df)
    model.Trial(recording, 10, 10, 'curl_simple2')
    model.Trial(recording, 30, 11, 'squat2')
    model.Trial(recording, 50, 12, 'curl_difficult2')
    model.Trial(recording, 70, 20, 'leg_lever2')

    # Session 3
    # ----------
    df = pd.DataFrame(np.copy(data), dtype='float')
    session = model.Session(experiment, setup, so3)
    recording = model.Recording(session=session, data=df)
    model.Trial(recording, 10, 10, 'curl_simple')
    model.Trial(recording, 30, 11, 'squat')
    model.Trial(recording, 50, 12, 'curl_difficult')
    model.Trial(recording, 70, 20, 'leg_lever')

    return experiment
示例#4
0
def create_emg_eeg_kb(meta, sessions, markers=None):
    """ Builds an `emgframework.model.model.Experiment` using information extracted from
        `P#_AllLifts.mat` and data extracted from `HS_P#_S#.mat`.
        Builds the model with EMG and EEG data only (Kinematic, Environmental and
        Miscellaneous data not included)

        Args:
            meta (pandas.core.DataFrame): Meta information to sessions
            session (Dictionary): Data of one session

        Returns:
            emgframework.model.model.Experiment
    """
    cols = [
        col for col in meta.columns
        if col.startswith('t') or col.startswith('Dur_')
    ]
    meta.loc[:, cols] = meta.loc[:, cols] - 2.002
    # Define mapping for weights and surface
    weights = {}
    weights[1] = '165g'
    weights[2] = '330g'
    weights[4] = '660g'
    surface = {}
    surface[1] = 'sandpaper'
    surface[2] = 'suede'
    surface[3] = 'silk'

    # Create Experiment
    # ==================================================================================
    exp = model.Experiment()
    subj = model.Subject(sessions[0]['initials'])

    # Creating Setup and Modalities
    # ==================================================================================
    setup = model.Setup(exp)
    kin_cols = [
        'Px1 - position x sensor 1', 'Px2 - position x sensor 2',
        'Px3 - position x sensor 3', 'Px4 - position x sensor 4',
        'Py1 - position y sensor 1', 'Py2 - position y sensor 2',
        'Py3 - position y sensor 3', 'Py4 - position y sensor 4',
        'Pz1 - position z sensor 1', 'Pz2 - position z sensor 2',
        'Pz3 - position z sensor 3', 'Pz4 - position z sensor 4'
    ]
    mod_emg = model.Modality(setup, sessions[0]['emg_sr'], 'emg')
    for s in sessions[0]['emg_data'].columns:
        model.Sample(mod_emg, s)
    mod_eeg = model.Modality(setup, sessions[0]['eeg_sr'], 'eeg')
    for s in sessions[0]['eeg_data'].columns:
        model.Sample(mod_eeg, s)
    mod_kin = model.Modality(setup, sessions[0]['kin_sr'], 'kin')
    for s in sessions[0]['kin_data'].columns:
        if s in kin_cols:
            model.Sample(mod_kin, s)

    # Creating Session, Recordings and Trials
    # ==================================================================================
    for session in sessions:
        # Select data of from metadata belonging to in `session` specified session
        meta_session = meta.loc[meta.loc[:, 'Run'] == session['session'], :]
        meta_session.reset_index(inplace=True)
        sess = model.Session(exp, setup, subj,
                             'session_' + str(session['session']))
        # Creating Recordings
        # ----------------------------------------------------------------------------------
        rec_emg = model.Recording(sess,
                                  data=session['emg_data'],
                                  identifier='emg_data',
                                  modality=mod_emg.Identifier)
        rec_eeg = model.Recording(sess,
                                  data=session['eeg_data'],
                                  identifier='eeg_data',
                                  modality=mod_eeg.Identifier)
        rec_kin = model.Recording(sess,
                                  data=session['kin_data'].loc[:, kin_cols],
                                  identifier='kin_data',
                                  modality=mod_kin.Identifier)

        # Creating Trials
        # ----------------------------------------------------------------------------------
        for i in range(meta_session.shape[0]):
            start = meta_session.loc[i, 'StartTime']
            if i == meta_session.shape[0] - 1:
                duration = float(session['emg_data'].shape[0]
                                 ) / 4000. - meta_session.loc[i, 'StartTime']
            else:
                duration = meta_session.loc[
                    i + 1, 'StartTime'] - meta_session.loc[i, 'StartTime']

            if (start + duration
                ) * session['emg_sr'] > session['emg_data'].shape[0]:
                warning = (
                    'WARNING - EMG data does not contain enough data points. Has '
                    +
                    '{samples:d} data points but {needed:d} are required. Skipped '
                    + 'Lift {lift:d}').format(
                        samples=session['emg_data'].shape[0],
                        needed=int((start + duration) * session['emg_sr']),
                        lift=i)
                warnings.warn(warning)
                continue

            if (start + duration
                ) * session['eeg_sr'] > session['eeg_data'].shape[0]:
                warning = (
                    'WARNING - EEG data does not contain enough data points. Has '
                    +
                    '{samples:d} data points but {needed:d} are required. Skipped '
                    + 'Lift {lift:d}').format(
                        samples=session['eeg_data'].shape[0],
                        needed=int((start + duration) * session['eeg_sr']),
                        lift=i)
                warnings.warn(warning)
                continue

            t_emg = model.Trial(
                recording=rec_emg,
                start=start,
                duration=duration,
                identifier='emg_lift' + str(i),
                label=weights[meta_session.loc[
                    i, 'CurW']]  # + '_' + surface[meta_session.loc[i, 'CurS']]
            )
            t_eeg = model.Trial(
                recording=rec_eeg,
                start=start,
                duration=duration,
                identifier='eeg_lift' + str(i),
                label=weights[meta_session.loc[
                    i, 'CurW']]  # + '_' + surface[meta_session.loc[i, 'CurS']]
            )
            t_kin = model.Trial(
                recording=rec_kin,
                start=start,
                duration=duration,
                identifier='kin_lift' + str(i),
                label=weights[meta_session.loc[
                    i, 'CurW']]  # + '_' + surface[meta_session.loc[i, 'CurS']]
            )

            if markers is not None:
                for marker in markers:
                    t_emg.add_marker((meta_session.loc[i, marker], marker))
                    t_eeg.add_marker((meta_session.loc[i, marker], marker))
                    t_kin.add_marker((meta_session.loc[i, marker], marker))
    return exp
示例#5
0
def sport_kb():
    experiment = model.Experiment()

    # Subjects
    # -----------------------------------------------------------------------------------
    so3 = model.Subject('subject1')
    experiment.put_subject(so3)
    so3 = model.Subject('subject2')
    experiment.put_subject(so3)
    so3 = model.Subject('subject3')
    experiment.put_subject(so3)
    so3 = model.Subject('subject4')
    experiment.put_subject(so3)
    so3 = model.Subject('subject5')
    experiment.put_subject(so3)
    so3 = model.Subject('subject6')
    experiment.put_subject(so3)
    so3 = model.Subject('subject7')
    experiment.put_subject(so3)
    so3 = model.Subject('subject8')
    experiment.put_subject(so3)
    so3 = model.Subject('subject9')
    experiment.put_subject(so3)
    so3 = model.Subject('subject10')
    experiment.put_subject(so3)

    # Setups
    # ===================================================================================
    setup = model.Setup(experiment)
    modality = model.Modality(setup=setup, frequency=4000, identifier='arm')
    model.Sample(modality, 'bizeps')
    model.Sample(modality, 'triceps')
    model.Sample(modality, 'extensor_digitorum')
    model.Sample(modality, 'flexor_digitorum')

    # Sessions
    # ===================================================================================

    # Session 1
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_01.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'hantel1', label='hantel')
    model.Trial(rec, 8, 4, 'hantel2', label='hantel')
    model.Trial(rec, 12, 4, 'hantel3', label='hantel')
    model.Trial(rec, 16, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 20, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 24, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 28, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 32, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 36, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 44, 4, 'max_bizeps')
    model.Trial(rec, 48, 4, 'max_triceps')
    model.Trial(rec, 52, 4, 'max_flexor')
    model.Trial(rec, 56, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 2
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_02.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'hantel1', label='hantel')
    model.Trial(rec, 8, 4, 'hantel2', label='hantel')
    model.Trial(rec, 12, 4, 'hantel3', label='hantel')
    model.Trial(rec, 16, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 20, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 24, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 28, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 32, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 36, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 40, 4, 'max_bizeps')
    model.Trial(rec, 44, 4, 'max_triceps')
    model.Trial(rec, 48, 4, 'max_flexor')
    model.Trial(rec, 52, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 3
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_03.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 8, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 12, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 16, 4, 'hantel1', label='hantel')
    model.Trial(rec, 20, 4, 'hantel2', label='hantel')
    model.Trial(rec, 24, 4, 'hantel3', label='hantel')
    model.Trial(rec, 28, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 32, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 36, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 40, 4, 'max_bizeps')
    model.Trial(rec, 52, 4, 'max_triceps')
    model.Trial(rec, 48, 4, 'max_flexor')
    model.Trial(rec, 56, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 4
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_04.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 8, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 12, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 16, 4, 'hantel1', label='hantel')
    model.Trial(rec, 20, 4, 'hantel2', label='hantel')
    model.Trial(rec, 24, 4, 'hantel3', label='hantel')
    model.Trial(rec, 28, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 32, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 36, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 40, 4, 'max_bizeps')
    model.Trial(rec, 44, 4, 'max_triceps')
    model.Trial(rec, 48, 4, 'max_flexor')
    model.Trial(rec, 52, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 5
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_05.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 8, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 12, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 16, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 20, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 24, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 28, 4, 'hantel1', label='hantel')
    model.Trial(rec, 32, 4, 'hantel2', label='hantel')
    model.Trial(rec, 36, 4, 'hantel3', label='hantel')
    model.Trial(rec, 44, 4, 'max_bizeps')
    model.Trial(rec, 48, 4, 'max_triceps')
    model.Trial(rec, 52, 4, 'max_flexor')
    model.Trial(rec, 56, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 6
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_06.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 8, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 12, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 16, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 20, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 24, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 28, 4, 'hantel1', label='hantel')
    model.Trial(rec, 32, 4, 'hantel2', label='hantel')
    model.Trial(rec, 36, 4, 'hantel3', label='hantel')
    model.Trial(rec, 40, 4, 'max_bizeps')
    model.Trial(rec, 44, 4, 'max_triceps')
    model.Trial(rec, 48, 4, 'max_flexor')
    model.Trial(rec, 52, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 7
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_07.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'hantel1', label='hantel')
    model.Trial(rec, 8, 4, 'hantel2', label='hantel')
    model.Trial(rec, 12, 4, 'hantel3', label='hantel')
    model.Trial(rec, 16, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 20, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 24, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 28, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 32, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 36, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 44, 4, 'max_bizeps')
    model.Trial(rec, 48, 4, 'max_triceps')
    model.Trial(rec, 52, 4, 'max_flexor')
    model.Trial(rec, 56, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 8
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_08.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 8, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 12, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 16, 4, 'hantel1', label='hantel')
    model.Trial(rec, 20, 4, 'hantel2', label='hantel')
    model.Trial(rec, 24, 4, 'hantel3', label='hantel')
    model.Trial(rec, 28, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 32, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 36, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 44, 4, 'max_bizeps')
    model.Trial(rec, 48, 4, 'max_triceps')
    model.Trial(rec, 52, 4, 'max_flexor')
    model.Trial(rec, 56, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 9
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_09.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 8, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 12, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 16, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 20, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 24, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 28, 4, 'hantel1', label='hantel')
    model.Trial(rec, 32, 4, 'hantel2', label='hantel')
    model.Trial(rec, 36, 4, 'hantel3', label='hantel')
    model.Trial(rec, 40, 4, 'max_bizeps')
    model.Trial(rec, 44, 4, 'max_triceps')
    model.Trial(rec, 48, 4, 'max_flexor')
    model.Trial(rec, 52, 4, 'max_extensor')

    # Sessions
    # ===================================================================================

    # Session 10
    # -----------------------------------------------------------------------------------
    session = model.Session(experiment, setup, so3)
    rec = model.Recording(session,
                          location='data/Proband_10.pkl',
                          modality=modality.Identifier)
    model.Trial(rec, 0, 4, 'calm')
    model.Trial(rec, 4, 4, 'hantel1', label='hantel')
    model.Trial(rec, 8, 4, 'hantel2', label='hantel')
    model.Trial(rec, 12, 4, 'hantel3', label='hantel')
    model.Trial(rec, 16, 4, 'reverse_kettle1', label='reverse_kettle')
    model.Trial(rec, 20, 4, 'reverse_kettle2', label='reverse_kettle')
    model.Trial(rec, 24, 4, 'reverse_kettle3', label='reverse_kettle')
    model.Trial(rec, 28, 4, 'stomach_kettle1', label='stomach_kettle')
    model.Trial(rec, 32, 4, 'stomach_kettle2', label='stomach_kettle')
    model.Trial(rec, 36, 4, 'stomach_kettle3', label='stomach_kettle')
    model.Trial(rec, 40, 4, 'max_bizeps')
    model.Trial(rec, 44, 4, 'max_triceps')
    model.Trial(rec, 48, 4, 'max_flexor')
    model.Trial(rec, 52, 4, 'max_extensor')
    return experiment