only keep right-left alternating and full contact pairs
This commit is contained in:
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2160d47648
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56d2565f37
@ -44,12 +44,12 @@
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import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='forward_coordinates', gait_direction='-X', plot=True, save_output=True, output_file='gaitevents.txt')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='height_coordinates', up_direction='Y', height_threshold=6, right_toe_marker='RBigToe', left_toe_marker='LBigToe')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='forward_velocity', gait_direction='-Z', forward_velocity_threshold=1.5, right_toe_marker='RBigToe', left_toe_marker='LBigToe')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='forward_velocity', gait_direction='-Z', forward_velocity_threshold=1, right_toe_marker='RBigToe', left_toe_marker='LBigToe')
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python -m trc_gaitevents -i input_trc_file
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OR python -m trc_gaitevents -i input_trc_file --method forward_coordinates --gait_direction=-X --plot True --save_output True --output_file gaitevents.txt
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OR python -m trc_gaitevents -i input_trc_file --method height_coordinates --up_direction=Y --height_threshold 6 --right_toe_marker RBigToe --left_toe_marker LBigToe
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OR python -m trc_gaitevents -i input_trc_file --method forward_velocity --gait_direction=-Z --forward_velocity_threshold 1.5 --right_toe_marker RBigToe --left_toe_marker LBigToe
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OR python -m trc_gaitevents -i input_trc_file --method forward_velocity --gait_direction=-Z --forward_velocity_threshold 1 --right_toe_marker RBigToe --left_toe_marker LBigToe
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'''
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@ -121,82 +121,59 @@ def read_trc(trc_path):
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return Q_coords, frames_col, time_col, markers, header
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def first_step_side(Ron, Lon):
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'''
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Get first step side
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INPUTS:
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- Ron: list of right on times or frames
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- Lon: list of left on times or frames
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OUTPUTS:
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- first_side: 'R' if right first, 'L' if left first
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'''
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if Ron[0]<Lon[0]:
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first_side = 'R'
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else:
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first_side = 'L'
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return first_side
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def clean_gait_events(gait_events):
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'''
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Clean gait events
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Remove consecutive on-off pairs if they are not alternating
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Clean gait events to only keep right-left alternating and full contact pairs
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INPUTS:
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- gait_events: tuple of lists (Ron, Lon, Roff, Loff)
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OUTPUTS:
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- Ron, Lon, Roff, Loff = cleaned gait events
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'''
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Ron, Lon, Roff, Loff = gait_events
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# Remove on-off pairs if they are not alternating
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# If first event is off, remove it
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# Remove incomplete pairs at the start and end
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if Ron[0]>Roff[0]: Roff.pop(0)
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if Lon[0]>Loff[0]: Loff.pop(0)
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# If last event is on, remove it
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if Ron[-1]>Roff[-1]: Ron.pop(-1)
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if Lon[-1]>Loff[-1]: Lon.pop(-1)
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# If there are several left onsets in a row between right onsets, remove all but the first one. Idem for the other side
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merged_on = sorted(Ron + Lon)
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merged_clean_on = [merged_on[0]]
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# Keep alternating elements
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for i in range(1, len(merged_on)):
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if (merged_on[i] in Ron and merged_clean_on[-1] not in Ron) or \
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(merged_on[i] in Lon and merged_clean_on[-1] not in Lon):
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merged_clean_on.append(merged_on[i])
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# Remove consecutive elements at the start if they are from the same list
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while len(merged_clean_on) > 1 \
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and (merged_clean_on[0] in Ron \
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and merged_clean_on[1] in Ron or merged_clean_on[0] in Lon \
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and merged_clean_on[1] in Lon):
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merged_clean_on.pop(0)
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# Remove consecutive elements at the end if they are from the same list
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while len(merged_clean_on) > 1 \
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and (merged_clean_on[-1] in Ron \
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and merged_clean_on[-2] in Ron or merged_clean_on[-1] in Lon \
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and merged_clean_on[-2] in Lon):
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merged_clean_on.pop(-1)
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# Make sure the output lists are in the right order
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if merged_clean_on[0] in Ron:
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Ron = merged_clean_on[::2]
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Lon = merged_clean_on[1::2]
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else:
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Ron = merged_clean_on[1::2]
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Lon = merged_clean_on[::2]
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# If there are several left off in a row between right off, remove all but the last one. Idem for the other side
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merged_off = sorted(Roff + Loff, reverse=True)
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merged_clean_off = [merged_off[0]]
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# Keep alternating elements
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for i in range(1, len(merged_off)):
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if (merged_off[i] in Roff and merged_clean_off[-1] not in Roff) or \
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(merged_off[i] in Loff and merged_clean_off[-1] not in Loff):
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merged_clean_off.append(merged_off[i])
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# Remove consecutive elements at the start if they are from the same list
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while len(merged_clean_off) > 1 \
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and (merged_clean_off[0] in Roff \
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and merged_clean_off[1] in Roff or merged_clean_off[0] in Loff \
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and merged_clean_off[1] in Loff):
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merged_clean_off.pop(0)
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# Remove consecutive elements at the end if they are from the same list
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while len(merged_clean_off) > 1 \
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and (merged_clean_off[-1] in Roff \
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and merged_clean_off[-2] in Roff or merged_clean_off[-1] in Loff \
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and merged_clean_off[-2] in Loff):
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merged_clean_off.pop(-1)
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# Make sure the output lists are in the right order
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if merged_clean_off[0] in Roff:
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Roff = merged_clean_off[::2][::-1]
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Loff = merged_clean_off[1::2][::-1]
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else:
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Roff = merged_clean_off[1::2][::-1]
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Loff = merged_clean_off[::2][::-1]
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# Remove lonely pairs that are not alternating with the other side at the beginning or the end
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if Ron[0]<Lon[0]: # Right first
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while Ron[1]<Lon[0]: Ron.pop(0)
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while Lon[-2]>Ron[-1]: Lon.pop(-1)
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while Roff[1]<Loff[0]: Roff.pop(0)
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while Loff[-2]>Roff[-1]: Loff.pop(-1)
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else: # Left first
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while Lon[1]<Ron[0]: Lon.pop(0)
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while Ron[-2]>Lon[-1]: Ron.pop(-1)
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while Loff[1]<Roff[0]: Loff.pop(0)
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while Roff[-2]>Loff[-1]: Roff.pop(-1)
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return Ron, Lon, Roff, Loff
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@ -240,38 +217,38 @@ def gait_events_fwd_coords(trc_path, gait_direction, markers=['RHeel', 'RBigToe'
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# Find gait events
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max_r_heel_hip_proj = sign*(RHeel_df-Hip_df)
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frame_Ron = signal.find_peaks(max_r_heel_hip_proj, prominence=peak_prominence)[0]
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frame_Ron = signal.find_peaks(max_r_heel_hip_proj, prominence=peak_prominence)[0].tolist()
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t_Ron = time_col[frame_Ron].tolist()
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max_l_heel_hip_proj = sign*(LHeel_df-Hip_df)
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frame_Lon = signal.find_peaks(max_l_heel_hip_proj, prominence=peak_prominence)[0]
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frame_Lon = signal.find_peaks(max_l_heel_hip_proj, prominence=peak_prominence)[0].tolist()
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t_Lon = time_col[frame_Lon].tolist()
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max_r_hip_toe_proj = sign*(Hip_df-RBigToe_df)
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frame_Roff = signal.find_peaks(max_r_hip_toe_proj, prominence=peak_prominence)[0]
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frame_Roff = signal.find_peaks(max_r_hip_toe_proj, prominence=peak_prominence)[0].tolist()
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t_Roff = time_col[frame_Roff].tolist()
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max_l_hip_toe_proj = sign*(Hip_df-LBigToe_df)
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frame_Loff = signal.find_peaks(max_l_hip_toe_proj, prominence=peak_prominence)[0]
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frame_Loff = signal.find_peaks(max_l_hip_toe_proj, prominence=peak_prominence)[0].tolist()
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t_Loff = time_col[frame_Loff].tolist()
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# # Clean gait events
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# frame_Ron, frame_Lon, frame_Roff, frame_Loff = clean_gait_events((frame_Ron, frame_Lon, frame_Roff, frame_Loff))
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# t_Ron, t_Lon, t_Roff, t_Loff = clean_gait_events((t_Ron, t_Lon, t_Roff, t_Loff))
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# Clean gait events
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frame_Ron, frame_Lon, frame_Roff, frame_Loff = clean_gait_events((frame_Ron, frame_Lon, frame_Roff, frame_Loff))
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t_Ron, t_Lon, t_Roff, t_Loff = clean_gait_events((t_Ron, t_Lon, t_Roff, t_Loff))
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# Plot
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if plot:
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plt.plot(time_col, max_r_heel_hip_proj, label='Right on')
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plt.plot(time_col[frame_Ron], max_r_heel_hip_proj[frame_Ron], '+')
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plt.plot(time_col, max_r_heel_hip_proj, 'C0', label='Right on')
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plt.plot(time_col[frame_Ron], max_r_heel_hip_proj[frame_Ron], 'g+')
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plt.plot(time_col, max_l_heel_hip_proj, label='Left on')
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plt.plot(time_col[frame_Lon], max_l_heel_hip_proj[frame_Lon], '+')
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plt.plot(time_col, max_l_heel_hip_proj, 'C1', label='Left on')
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plt.plot(time_col[frame_Lon], max_l_heel_hip_proj[frame_Lon], 'g+')
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plt.plot(time_col, max_r_hip_toe_proj, label='Right off')
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plt.plot(time_col[frame_Roff], max_r_hip_toe_proj[frame_Roff], '+')
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plt.plot(time_col, max_r_hip_toe_proj, 'C0', label='Right off')
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plt.plot(time_col[frame_Roff], max_r_hip_toe_proj[frame_Roff], 'r+')
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plt.plot(time_col, max_l_hip_toe_proj, label='Left off')
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plt.plot(time_col[frame_Loff], max_l_hip_toe_proj[frame_Loff], '+')
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plt.plot(time_col, max_l_hip_toe_proj, 'C1', label='Left off')
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plt.plot(time_col[frame_Loff], max_l_hip_toe_proj[frame_Loff], 'r+')
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plt.title('Gait events')
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plt.xlabel('Time (s)')
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@ -352,19 +329,19 @@ def gait_events_height_coords(trc_path, up_direction, height_threshold=6, filter
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if 0 in frame_Lon: frame_Lon.remove(0)
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t_Lon, t_Loff = time_col[frame_Lon].tolist(), time_col[frame_Loff].tolist()
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# # Clean gait events
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# frame_Ron, frame_Lon, frame_Roff, frame_Loff = clean_gait_events((frame_Ron, frame_Lon, frame_Roff, frame_Loff))
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# t_Ron, t_Lon, t_Roff, t_Loff = clean_gait_events((t_Ron, t_Lon, t_Roff, t_Loff))
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# Clean gait events
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frame_Ron, frame_Lon, frame_Roff, frame_Loff = clean_gait_events((frame_Ron, frame_Lon, frame_Roff, frame_Loff))
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t_Ron, t_Lon, t_Roff, t_Loff = clean_gait_events((t_Ron, t_Lon, t_Roff, t_Loff))
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# Plot
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if plot:
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plt.plot(time_col[1:], Rfoot_height_filtered, label='Right foot height filtered')
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plt.plot(time_col[1:][frame_Ron], Rfoot_height_filtered[frame_Ron], '+')
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plt.plot(time_col[1:][frame_Roff], Rfoot_height_filtered[frame_Roff], '+')
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plt.plot(time_col[1:], Rfoot_height_filtered, 'C0', label='Right foot height filtered')
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plt.plot(time_col[1:][frame_Ron], Rfoot_height_filtered[frame_Ron], 'g+')
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plt.plot(time_col[1:][frame_Roff], Rfoot_height_filtered[frame_Roff], 'r+')
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plt.plot(time_col[1:], Lfoot_height_filtered, label='Left foot height filtered')
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plt.plot(time_col[1:][frame_Lon], Lfoot_height_filtered[frame_Lon], '+')
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plt.plot(time_col[1:][frame_Loff], Lfoot_height_filtered[frame_Loff], '+')
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plt.plot(time_col[1:], Lfoot_height_filtered, 'C1', label='Left foot height filtered')
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plt.plot(time_col[1:][frame_Lon], Lfoot_height_filtered[frame_Lon], 'g+')
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plt.plot(time_col[1:][frame_Loff], Lfoot_height_filtered[frame_Loff], 'r+')
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plt.title('Gait events')
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plt.xlabel('Time (s)')
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@ -386,7 +363,7 @@ def gait_events_height_coords(trc_path, up_direction, height_threshold=6, filter
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return (t_Ron, t_Lon, t_Roff, t_Loff), (frame_Ron, frame_Lon, frame_Roff, frame_Loff)
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def gait_events_fwd_vel(trc_path, gait_direction, forward_velocity_threshold=1.5, filter_fs=10, markers=['RBigToe', 'LBigToe'], plot=True):
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def gait_events_fwd_vel(trc_path, gait_direction, forward_velocity_threshold=1, filter_fs=10, markers=['RBigToe', 'LBigToe'], plot=True):
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'''
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Determine gait on and off with "forward_velocity" method
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@ -451,19 +428,19 @@ def gait_events_fwd_vel(trc_path, gait_direction, forward_velocity_threshold=1.5
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if 0 in frame_Lon: frame_Lon.remove(0)
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t_Lon, t_Loff = time_col[frame_Lon].tolist(), time_col[frame_Loff].tolist()
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# # Clean gait events
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# frame_Ron, frame_Lon, frame_Roff, frame_Loff = clean_gait_events((frame_Ron, frame_Lon, frame_Roff, frame_Loff))
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# t_Ron, t_Lon, t_Roff, t_Loff = clean_gait_events((t_Ron, t_Lon, t_Roff, t_Loff))
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# Clean gait events
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frame_Ron, frame_Lon, frame_Roff, frame_Loff = clean_gait_events((frame_Ron, frame_Lon, frame_Roff, frame_Loff))
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t_Ron, t_Lon, t_Roff, t_Loff = clean_gait_events((t_Ron, t_Lon, t_Roff, t_Loff))
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# Plot
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if plot:
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plt.plot(time_col[1:], Rfoot_speed_filtered, label='Right foot speed filtered')
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plt.plot(time_col[1:][frame_Ron], Rfoot_speed_filtered[frame_Ron], '+')
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plt.plot(time_col[1:][frame_Roff], Rfoot_speed_filtered[frame_Roff], '+')
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plt.plot(time_col[1:], Rfoot_speed_filtered, 'C0', label='Right foot speed filtered')
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plt.plot(time_col[1:][frame_Ron], Rfoot_speed_filtered[frame_Ron], 'g+')
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plt.plot(time_col[1:][frame_Roff], Rfoot_speed_filtered[frame_Roff], 'r+')
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plt.plot(time_col[1:], Lfoot_speed_filtered, label='Left foot speed filtered')
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plt.plot(time_col[1:][frame_Lon], Lfoot_speed_filtered[frame_Lon], '+')
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plt.plot(time_col[1:][frame_Loff], Lfoot_speed_filtered[frame_Loff], '+')
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plt.plot(time_col[1:], Lfoot_speed_filtered, 'C1', label='Left foot speed filtered')
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plt.plot(time_col[1:][frame_Lon], Lfoot_speed_filtered[frame_Lon], 'g+')
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plt.plot(time_col[1:][frame_Loff], Lfoot_speed_filtered[frame_Loff], 'r+')
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plt.title('Gait events')
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plt.xlabel('Time (s)')
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@ -524,12 +501,12 @@ def trc_gaitevents_func(**args):
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import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='forward_coordinates', gait_direction='-X', plot=True, save_output=True, output_file='gaitevents.txt')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='height_coordinates', up_direction='Y', height_threshold=6, right_toe_marker='RBigToe', left_toe_marker='LBigToe')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='forward_velocity', gait_direction='-Z', forward_velocity_threshold=1.5, right_toe_marker='RBigToe', left_toe_marker='LBigToe')
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OR import trc_gaitevents; trc_gaitevents.trc_gaitevents_func(trc_path=r'<input_trc_file>', method='forward_velocity', gait_direction='-Z', forward_velocity_threshold=1, right_toe_marker='RBigToe', left_toe_marker='LBigToe')
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python -m trc_gaitevents -i input_trc_file
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OR python -m trc_gaitevents -i input_trc_file --method forward_coordinates --gait_direction=-X --plot True --save_output True --output_file gaitevents.txt
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OR python -m trc_gaitevents -i input_trc_file --method height_coordinates --up_direction=Y --height_threshold 6 --right_toe_marker RBigToe --left_toe_marker LBigToe
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OR python -m trc_gaitevents -i input_trc_file --method forward_velocity --gait_direction=-Z --forward_velocity_threshold 1.5 --right_toe_marker RBigToe --left_toe_marker LBigToe
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OR python -m trc_gaitevents -i input_trc_file --method forward_velocity --gait_direction=-Z --forward_velocity_threshold 1 --right_toe_marker RBigToe --left_toe_marker LBigToe
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'''
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# Retrieve arguments
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@ -554,7 +531,7 @@ def trc_gaitevents_func(**args):
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if gait_direction == None: gait_direction = '+X'
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if up_direction == None: up_direction = '+Y'
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if method == None: method = 'height_coordinates'
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if forward_velocity_threshold == None: forward_velocity_threshold = 1.5
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if forward_velocity_threshold == None: forward_velocity_threshold = 1
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if height_threshold == None: height_threshold = 6
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if sacrum_marker == None: sacrum_marker = 'Hip'
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if right_heel_marker == None: right_heel_marker = 'RHeel'
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@ -575,6 +552,9 @@ def trc_gaitevents_func(**args):
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elif len(up_direction)==2:
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up_direction = int(up_direction[0]+'1'), up_direction
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if method not in ['forward_coordinates', 'height_coordinates', 'forward_velocity']:
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raise ValueError('Method must be "forward_coordinates", "height_coordinates", or "forward_velocity"')
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# Retrieve gait events
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if method == 'forward_coordinates':
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print('Method: forward_coordinates')
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