Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects
Backgound: Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metri...
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Published in | Sensors (Basel, Switzerland) Vol. 23; no. 3; p. 1158 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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19.01.2023
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ISSN | 1424-8220 1424-8220 |
DOI | 10.3390/s23031158 |
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Abstract | Backgound: Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects. Methods: Thirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed. Results: LDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC. Conclusion: There are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements. |
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AbstractList | Backgound: Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects. Methods: Thirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed. Results: LDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC. Conclusion: There are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements. Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects. Thirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed. LDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC. There are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements. Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects.BACKGOUNDMetrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects.Thirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed.METHODSThirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed.LDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC.RESULTSLDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC.There are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements.CONCLUSIONThere are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements. |
Audience | Academic |
Author | Bayle, Nicolas Remy-Neris, Olivier Cornec, Gwenaël Motavasseli, Damien Hutin, Emilie Lempereur, Mathieu Gracies, Jean-Michel |
AuthorAffiliation | 2 AP-HP, Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, Hôpitaux Universitaires Henri Mondor, F-94000 Créteil, France 4 Neurological Physical Medicine and Rehabilitation Department, University Hospital of Brest, F-29200 Brest, France 3 U1101 LaTIM, Brest University, F-29200 Brest, France 1 UR 7377 BIOTN, Paris Est Créteil University (UPEC), F-94000 Créteil, France |
AuthorAffiliation_xml | – name: 1 UR 7377 BIOTN, Paris Est Créteil University (UPEC), F-94000 Créteil, France – name: 2 AP-HP, Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, Hôpitaux Universitaires Henri Mondor, F-94000 Créteil, France – name: 3 U1101 LaTIM, Brest University, F-29200 Brest, France – name: 4 Neurological Physical Medicine and Rehabilitation Department, University Hospital of Brest, F-29200 Brest, France |
Author_xml | – sequence: 1 givenname: Nicolas orcidid: 0000-0002-3726-2712 surname: Bayle fullname: Bayle, Nicolas – sequence: 2 givenname: Mathieu surname: Lempereur fullname: Lempereur, Mathieu – sequence: 3 givenname: Emilie orcidid: 0000-0003-0512-104X surname: Hutin fullname: Hutin, Emilie – sequence: 4 givenname: Damien surname: Motavasseli fullname: Motavasseli, Damien – sequence: 5 givenname: Olivier orcidid: 0000-0001-6862-8433 surname: Remy-Neris fullname: Remy-Neris, Olivier – sequence: 6 givenname: Jean-Michel surname: Gracies fullname: Gracies, Jean-Michel – sequence: 7 givenname: Gwenaël orcidid: 0000-0002-3194-2987 surname: Cornec fullname: Cornec, Gwenaël |
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Snippet | Backgound: Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the... Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized... |
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SubjectTerms | Benchmarking Biomechanical Phenomena Healthy Volunteers Humans Kinematics LDLJ Life Sciences Middle age Middle Aged motion analysis Movement Neurological disorders Orthopedics pointing task Rehabilitation Shoulder smoothness metrics SPARC Stroke Upper Extremity Velocity |
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Title | Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects |
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