Accuracy Comparison: Optoelectronic Motion Capture and Markerless System

NCT ID: NCT06544824

Last Updated: 2024-09-19

Basic Information

• Recruitment Status: ACTIVE_NOT_RECRUITING
• Total Enrollment: 25 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-05-15
• Study Completion Date: 2025-05-15

Brief Summary

The purpose of this study was to assess the Openpose reliability to measure kinematics and spatiotemporal gait parameters and to evaluate the minimum technical requirements. This analysis used video and optoelectronic motion capture simultaneously recorded. We assessed more of 20 subject with different motor gait impairments

Detailed Description

Marker-based Optical motion tracking is the gold standard in gait analysis, but today, markerless solutions are growing rapidly. Treatment of physical impairments could improve if supported with reliable motion capture. Moreover, the use of markerless technology offers numerous advantages for working with pediatric populations under various conditions. In this paper, we assess the Openpose reliability to measure kinematics and spatiotemporal gait parameters and to evaluate the minimum technical requirements., in a population of children with and without gait impairments. Validating markerless methods can open the way for new motion capture techniques and enhance the accessibility of kinematic measurements and improve the treatment of physical impairments.

Conditions

Children, Adult; Motor Disorders

Study Design

• Observational Model Type: OTHER
• Study Time Perspective: RETROSPECTIVE

Study Groups

Healthy subjects

This group includes healthy subjects over 4 years of age; with the ability to walk independently without walking aids and/or orthoses.

Measure gait spatiotemporal parameters and kinematics from optoelectronic system

Intervention Type: OTHER

The raw data acquired from motion capture system were processed with Smart Analyzer software (BTS Bioengineering, Milano, Italy). First, the 3D data were filtered and interpolated in case of missing data for short time. Then spatial-temporal parameters (cycle duration, cadence, gait speed, stance phase, swing phase, double-support phase, stride length and step width) and conventional kinematic parameters of traditional Davis marker-set protocols were computed.

Measure gait spatiotemporal parameters and kinematics from markerless system

Intervention Type: OTHER

The two videos were elaborated using OpenPose that returns a set of 25 2D keypoints coordinates for body pose estimation for each video. Key-points were located in relevant body landmarks and it were used to determine the 2D Cartesian coordinates on the sagittal plane and on the frontal plane. The data calculated with routines were filtered and interpolated in case of missing data. With respect to kinematic parameters, the segment and joint angles were measured from the estimated feature points of each joint. Spatiotemporal gait parameters were calculated using successive heel strike and toe-off events.

Subjects with a diagnosis of cerebral palsy and right hemiplegia

This group includes subjects with a diagnosis of cerebral palsy and right hemiplegia over 4 years of age; with the ability to walk independently without walking aids and/or orthoses.

Measure gait spatiotemporal parameters and kinematics from optoelectronic system

Intervention Type: OTHER

The raw data acquired from motion capture system were processed with Smart Analyzer software (BTS Bioengineering, Milano, Italy). First, the 3D data were filtered and interpolated in case of missing data for short time. Then spatial-temporal parameters (cycle duration, cadence, gait speed, stance phase, swing phase, double-support phase, stride length and step width) and conventional kinematic parameters of traditional Davis marker-set protocols were computed.

Measure gait spatiotemporal parameters and kinematics from markerless system

Intervention Type: OTHER

The two videos were elaborated using OpenPose that returns a set of 25 2D keypoints coordinates for body pose estimation for each video. Key-points were located in relevant body landmarks and it were used to determine the 2D Cartesian coordinates on the sagittal plane and on the frontal plane. The data calculated with routines were filtered and interpolated in case of missing data. With respect to kinematic parameters, the segment and joint angles were measured from the estimated feature points of each joint. Spatiotemporal gait parameters were calculated using successive heel strike and toe-off events.

Subjects with a diagnosis of cerebral palsy and left hemiplegia

This group includes subjects with a diagnosis of cerebral palsy and left hemiplegia over 4 years of age; with the ability to walk independently without walking aids and/or orthoses.

Measure gait spatiotemporal parameters and kinematics from optoelectronic system

Intervention Type: OTHER

The raw data acquired from motion capture system were processed with Smart Analyzer software (BTS Bioengineering, Milano, Italy). First, the 3D data were filtered and interpolated in case of missing data for short time. Then spatial-temporal parameters (cycle duration, cadence, gait speed, stance phase, swing phase, double-support phase, stride length and step width) and conventional kinematic parameters of traditional Davis marker-set protocols were computed.

Measure gait spatiotemporal parameters and kinematics from markerless system

Intervention Type: OTHER

The two videos were elaborated using OpenPose that returns a set of 25 2D keypoints coordinates for body pose estimation for each video. Key-points were located in relevant body landmarks and it were used to determine the 2D Cartesian coordinates on the sagittal plane and on the frontal plane. The data calculated with routines were filtered and interpolated in case of missing data. With respect to kinematic parameters, the segment and joint angles were measured from the estimated feature points of each joint. Spatiotemporal gait parameters were calculated using successive heel strike and toe-off events.

Subjects with a diagnosis of spastic paraparesis

TThis group includes subjects with a diagnosis of spastic paraparesis over 4 years of age; with the ability to walk independently without walking aids and/or orthoses.

Measure gait spatiotemporal parameters and kinematics from optoelectronic system

Intervention Type: OTHER

The raw data acquired from motion capture system were processed with Smart Analyzer software (BTS Bioengineering, Milano, Italy). First, the 3D data were filtered and interpolated in case of missing data for short time. Then spatial-temporal parameters (cycle duration, cadence, gait speed, stance phase, swing phase, double-support phase, stride length and step width) and conventional kinematic parameters of traditional Davis marker-set protocols were computed.

Measure gait spatiotemporal parameters and kinematics from markerless system

Intervention Type: OTHER

The two videos were elaborated using OpenPose that returns a set of 25 2D keypoints coordinates for body pose estimation for each video. Key-points were located in relevant body landmarks and it were used to determine the 2D Cartesian coordinates on the sagittal plane and on the frontal plane. The data calculated with routines were filtered and interpolated in case of missing data. With respect to kinematic parameters, the segment and joint angles were measured from the estimated feature points of each joint. Spatiotemporal gait parameters were calculated using successive heel strike and toe-off events.

Interventions

Measure gait spatiotemporal parameters and kinematics from optoelectronic system

The raw data acquired from motion capture system were processed with Smart Analyzer software (BTS Bioengineering, Milano, Italy). First, the 3D data were filtered and interpolated in case of missing data for short time. Then spatial-temporal parameters (cycle duration, cadence, gait speed, stance phase, swing phase, double-support phase, stride length and step width) and conventional kinematic parameters of traditional Davis marker-set protocols were computed.

Intervention Type: OTHER

Measure gait spatiotemporal parameters and kinematics from markerless system

The two videos were elaborated using OpenPose that returns a set of 25 2D keypoints coordinates for body pose estimation for each video. Key-points were located in relevant body landmarks and it were used to determine the 2D Cartesian coordinates on the sagittal plane and on the frontal plane. The data calculated with routines were filtered and interpolated in case of missing data. With respect to kinematic parameters, the segment and joint angles were measured from the estimated feature points of each joint. Spatiotemporal gait parameters were calculated using successive heel strike and toe-off events.

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Age over 4 years;
• Ability to walk independently without walking aids and/or orthoses.

Exclusion Criteria

• Inability to walk independently and safely for short distances without walking aids and/or orthoses.

• Minimum Eligible Age: 4 Years
• Maximum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

IRCCS Eugenio Medea

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Giuseppe Andreoni

Role: PRINCIPAL_INVESTIGATOR

IRCCS E.Medea

Locations

IRCCS E. Medea

Bosisio Parini, Italy, Italy

Countries

Italy

Other Identifiers

GIP1121

Identifier Type: -

Identifier Source: org_study_id