Accuracy Comparison: Optoelectronic Motion Capture and Markerless System

NCT06544824 | Active Not Recruiting

• 1 other identifier: GIP1121
• Study Type: observational
• Target: 25
• Locations: 1 country
• Sites: 1

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

Conditions

Children, Adult; Motor Disorders

Keywords

Kinematic; Markerless; OpenPose

Outcome Measures

Primary Outcomes (3)

• Absolute Error

  Absolute errors were calculated for the kinematics parameters and for each spatiotemporal variable by taking the absolute value after subtracting the values obtained using pose estimation methods from the value measured using markerbased motion capture

  Through study completion, an average of 1 year

• intraclass correlation coefficients

  To confirm whether the data obtained by OpenPose agreed with the data from the optoelectronic system, investigators calculated the ICCs (two-way mixed effects model, absolute agreement, average measurements) between the spatiotemporal and kinematic data from both systems. The ICC values were interpreted as follows: poor agreement for ICC \< 0.5, moderate agreement for values between 0.5 and 0.75, good agreement for values between 0.75 and 0.9, and excellent agreement for values greater than 0.90.

  Through study completion, an average of 1 year

• cross-correlation coefficients

  The cross-correlation coefficients (CCC) between both systems were used to evaluate the similarity of angles during the gait cycle. The CCC values were interpreted as follows: weak or no coupling for values between -0.3 and 0.3, moderate coupling for values between 0.3 and 0.7 or -0.7 and -0.3, and strong coupling for values greater than 0.7 or less than -0.7.

  Through study completion, an average of 1 year

Study Arms (5)

Healthy subjects

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

Other: Measure gait spatiotemporal parameters and kinematics from optoelectronic system; Other: Measure gait spatiotemporal parameters and kinematics from markerless system

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.

Other: Measure gait spatiotemporal parameters and kinematics from optoelectronic system; Other: Measure gait spatiotemporal parameters and kinematics from markerless system

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.

Other: Measure gait spatiotemporal parameters and kinematics from optoelectronic system; Other: Measure gait spatiotemporal parameters and kinematics from markerless system

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.

Other: Measure gait spatiotemporal parameters and kinematics from optoelectronic system; Other: Measure gait spatiotemporal parameters and kinematics from markerless system

healthy children mimic gesture

This group includes a sample of healthy subjects who mimic the chimney tip typical of some diseases such as cerebral palsy and autism.

Other: Measure gait spatiotemporal parameters and kinematics from markerless system; Other: Quantify tip toe step during gait from kinematic

Interventions

Quantify tip toe step during gait from kinematic OTHER

The kinematic features calculated are used to identify and count the number of tip toe steps during gait or standing

healthy children mimic gesture

Measure gait spatiotemporal parameters and kinematics from optoelectronic system 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.

Healthy subjects; Subjects with a diagnosis of cerebral palsy and left hemiplegia; Subjects with a diagnosis of cerebral palsy and right hemiplegia; Subjects with a diagnosis of spastic paraparesis

Measure gait spatiotemporal parameters and kinematics from markerless system 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.

Healthy subjects; Subjects with a diagnosis of cerebral palsy and left hemiplegia; Subjects with a diagnosis of cerebral palsy and right hemiplegia; Subjects with a diagnosis of spastic paraparesis; healthy children mimic gesture

Eligibility Criteria

• Age: 4 Years - 65 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

This study includes subjects who previously underwent a functional motor assessment using the SMART DX 100 system at the IRCCS Eugenio Medea Institute. The sample comprises both healthy individuals and those with walking difficulties, all aged over 4 years.

You may qualify if:

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

You may not qualify if:

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

Sponsors & Collaborators

• IRCCS Eugenio Medea: lead

Study Sites (1)

IRCCS E. Medea

Bosisio Parini, Italy, 22037, Italy

Location

MeSH Terms

Conditions

Motor Disorders

Condition Hierarchy (Ancestors)

Mental Disorders

Study Officials

• Giuseppe Andreoni

  IRCCS E.Medea

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 5, 2024
• First Posted: August 9, 2024
• Study Start: May 15, 2024
• Primary Completion (Estimated): September 24, 2026
• Study Completion (Estimated): September 24, 2026
• Last Updated: February 27, 2026

Record last verified: 2026-02

Locations

IT (1)