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Status unknownNCT04462913Updated Jul 8, 2020

Biometric Recognition and Rehabilitation Assessment of Lower Extremity Sports Injury Based on Gait Touch Information

An observational study in Sport Injury and Osteoarthritis, Knee, sponsored by Peking University Third Hospital. Status unknown at 1 site in China. Per ClinicalTrials.gov, last updated 2020-07-08.

Sponsored by Peking University Third Hospital · Observational

The sponsor has not verified this record recently (last verified Jun 2020), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
550
Sex
All
01

Study summary

The current common clinical methods cannot truly reflect the biomechanical status of the knee joint. Based on the foot-knee coupling mechanism, the simple and practical dynamic gait touch information provided by the 3D force platform are closely related to the knee biomechanics. The purpose of this study is to investigate the disease feature recognition, computer-aided diagnosis and rehabilitation assessment based on the gait touch information related to lower limb injuries.

Read the detailed description

Background:

The current common clinical methods cannot truly reflect the biomechanical status of the knee joint. The three-dimensional gait analysis is the gold standard, but it is difficult to apply clinically. There is an urgent need for a clinically practical method to quantitatively evaluate the biomechanics of the knee joint under dynamic weight bearing.

Methods:

50 healthy volunteers, 450 sports injuries patients (including hip, knee, and ankle joint diseases) and 50 patients with degenerative osteoarthritis were recruited.

55 passive reflective markers were placed bilaterally on the body. Lower extremity kinematics and dynamic plantar pressure during walking, jogging were collected.

Outcome evaluation indicators and statistical methods: The following indicators use repeated measurement two-factor analysis of variance: the left and right sides, different rehabilitation times are used as repeated measurement variables, to analyze the biomechanical changes of the lower limb joint biomechanics and gait touch information. A variety of machine learning methods (such as PCA, SVM, CNN, etc.) are used to analyze, and select the appropriate algorithm and parameters according to the learning effect. Finally, this study will establish a machine learning models for computer-aided diagnosis, treatment, and rehabilitation assessment.

02

Conditions studied

  • Sport Injury
  • Osteoarthritis, Knee

Keywords

  • sports injury
  • gait touch information
  • machine learning
03

In context

Osteoarthritis, Knee

3,302 studies on the registry are indexed under Osteoarthritis, Knee; 608 are open to participants now.

This study's planned enrollment of 550 is above the median of 100 across 472 observational studies indexed under Osteoarthritis, Knee.

Browse Osteoarthritis, Knee studies →

Lead sponsor

Peking University Third Hospital is the lead sponsor of 735 studies on the registry; 262 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Inclusion: one healthy control group: healthy volunteers; and patients with a certain sports injury (soft tissue injury or degenerative osteoarthritis) of a joint of the lower limb (hip or knee or ankle or foot).

Exclusion: Cognitive impairment or other injuries affecting movement performance.

Inclusion criteria

  • patients with a certain sports injury (soft tissue injury or degenerative osteoarthritis) of a joint of the lower limb (hip or knee or ankle or foot).

Exclusion criteria

Exclusion Criteria:

  • Cognitive impairment
  • other injuries affecting movement performance.
05

Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
550 participants (estimated)
Patient registry
No

Groups and cohorts

  • Healthy control

    According to the previous clinical diagnosis, volunteers who has never suffered the lower extremity sports injuries.

    Other: no intervention

  • Patients with sports injuries

    According to the previous clinical diagnosis, patients who has suffered the sports injuries(including hip, knee, and ankle joint diseases).

    Other: no intervention

  • Patients with degenerative osteoarthritis

    According to the previous clinical diagnosis, patients who has suffered the degenerative osteoarthritis.

    Other: no intervention

Interventions

  • Otherno intervention

    This is an observation study, with no intervention

06

What researchers measure

Primary outcomes

  1. walking speed

    Three-dimensional gait analysis system and plantar pressure were used during walking.

    Time frame: On the day of enrollment.

  2. ground reaction force

    Three-dimensional gait analysis system and plantar pressure were used during walking.

    Time frame: On the day of enrollment.

  3. knee flexion angle

    Three-dimensional gait analysis system and plantar pressure were used during walking.

    Time frame: On the day of enrollment.

  4. the moment of knee extension in the gait cycle

    Three-dimensional gait analysis system and plantar pressure were used during walking.

    Time frame: On the day of enrollment.

Secondary outcomes

  1. The International Knee Documentation Committee (IKDC) score

    The International Knee Documentation Committee (IKDC) score was used to evaluate the knee health.The patients completed score by themselves. The lowest score is 0 and the highest score is 100.

    Time frame: On the day of enrollment.

07

Study locations

1 of 1 sites recruiting
  • Peking University Third Hospital
    Beijing, 100191, China
    Recruiting
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 8, 2020, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04462913
Lead sponsor
Peking University Third Hospital
Responsible party
Sponsor
First posted
Jul 8, 2020
Start date
Jul 28, 2017
Primary completion
Dec 1, 2022 (estimated)
Completion
Dec 30, 2022 (estimated)
Last update
Jul 8, 2020

Study contacts

Hongshi Huang, Doctor
Contact
huanghs@bjmu.edu.cn
+8613910093298
Hongshi Huang, Doctor
study chair · Peking University Third Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Jun 2020. You cannot join it, but the record below documents what was studied.

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