Musculoskeletal Diseases or ConditionsNCT05370534
Smartphone-Based Markerless Motion Capture for Orthopaedic Clinical Use
An observational study of Musculoskeletal Diseases or Conditions, run by University of Arkansas at 1 site in United States.
Trial summary
The investigators propose to create a markerless smartphone-based MCA application using AR to measure joint motion and gait patterns to address this technology gap for a simple and inexpensive MCA. Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Musculoskeletal Diseases or Conditions
- How many people
- 0 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Dec 2023to 18 Dec 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Study participants will be males and females between the ages of 18 years old to 65 years old that are healthy and without any active injuries limiting full participation, in particular no known spinal pathology, history of lower extremity surgery or significant cardiac history. There are no restrictions based on gender, race, or ethnicity.
Who may be able to join
- 18-65 years old
- No known spinal pathology
- No previous lower extremity surgery
- No significant cardiac history
Who cannot join
- <18 or >65 years old
- Known spinal pathology
- Previous lower extremity surgery
- Significant cardiac history
Trial locations and contacts
1 site in 1 country.
United States1 site
University of Arkansas for Medical Sciences
Little Rock, Arkansas, 72205
About this study
The investigators propose to create a markerless smartphone-based MCA application using AR to measure joint motion and gait patterns to address this technology gap for a simple and inexpensive MCA.
Read the detailed description
Aim 1 will establish a testable AR-based smartphone app that measures clinically relevant lower-extremity motion components. Existing AR code will be adapted to identify and quantify hip, knee, and ankle range of motion in both the coronal and sagittal planes. Output will be produced directly to the phone display and can also be downloadable. Both single-motion and sequential-motion (gait) measures will be captured.
Aim 2 will then compare the app-based MCA to traditional gold standard MCA in healthy volunteers. A dedicated human biomechanics lab with capability for MCA with reflective markers will be utilized to test both MCA methods. Patients will perform a box jump and normal walking gait, and the measurements from both the standard marker-based MCA system and the smartphone markerless MCA system will be statistically compared.
- Conditions
- Musculoskeletal Diseases or Conditions
- Keywords
- Motion Capture, MCA, Markers, Markerless, biomechanics
- Medical subject headings
- Musculoskeletal Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Study Population | The investigators anticipate validating two specific actions: a box jump and walking gait. Both will be captured in two planes, coronal and sagittal. Healthy patients without musculoskeletal complaints will be voluntarily enrolled to undergo motion capture with both methods, completed during the same visit to the UAMS Human Biomechanics Laboratory. Each patient will perform a box jump and walking gait using each of the two modalities. We anticipate 4 hrs will be required for each patient: 1 hr for setup before the patient arrives, 1 hr for testing, and 2 hrs for data cleaning and initial processing. This work will be performed at the UAMS Human Biomechanics Laboratory (off campus on Aldersgate Road), which is equipped for this type of analysis. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Hip, Knee and Spine Measurements
angles
Measured: 1 hour
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 May 2022
- Study start1 Dec 2023
- Primary completion18 Dec 2023
- Study completion18 Dec 2023
Why it stopped: Funding
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (15)Papers the sponsor has linked to this study.
- Other trials for Musculoskeletal Diseases or ConditionsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 0 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Arkansas
- Sponsor type
- University, hospital or other
- Collaborators
- National Institutes of Health (NIH)
- Responsible party
- Sponsor
- Investigators
- David B Bumpass, MD, Principal investigator, University of Arkansas
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05370534
- Sponsor's protocol ID
- 274321
- Other IDs
- GM125503
- Status last verified
- Feb 2023
- First submitted
- 6 May 2022
- Last updated
- 26 Dec 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: The Principal Investigator will carefully monitor study procedures to protect the safety of research subjects and the potential for loss of confidentiality.
Publications
Thewlis D, Waters A, Solomon LB, Perilli E. Investigating in vivo knee volumetric bone mineral density and walking gait mechanics in healthy people. Bone. 2021 Feb;143:115662. doi: 10.1016/j.bone.2020.115662. Epub 2020 Sep 25.
PubMed 32987197Kuchen DB, Eichelberger P, Baur H, Rutz E. Long-term follow-up after patellar tendon shortening for flexed knee gait in bilateral spastic cerebral palsy. Gait Posture. 2020 Sep;81:85-90. doi: 10.1016/j.gaitpost.2020.07.003. Epub 2020 Jul 6.
PubMed 32693350Kuai S, Guan X, Liu W, Ji R, Xiong J, Wang D, Zhou W. Prediction of the Spinal Musculoskeletal Loadings during Level Walking and Stair Climbing after Two Types of Simulated Interventions in Patients with Lumbar Disc Herniation. J Healthc Eng. 2019 Dec 17;2019:6406813. doi: 10.1155/2019/6406813. eCollection 2019.
PubMed 31929870Ueno R, Navacchia A, Schilaty ND, Myer GD, Hewett TE, Bates NA. Anterior Cruciate Ligament Loading Increases With Pivot-Shift Mechanism During Asymmetrical Drop Vertical Jump in Female Athletes. Orthop J Sports Med. 2021 Mar 9;9(3):2325967121989095. doi: 10.1177/2325967121989095. eCollection 2021 Mar.
PubMed 34235227Camp CL, Loushin S, Nezlek S, Fiegen AP, Christoffer D, Kaufman K. Are Wearable Sensors Valid and Reliable for Studying the Baseball Pitching Motion? An Independent Comparison With Marker-Based Motion Capture. Am J Sports Med. 2021 Sep;49(11):3094-3101. doi: 10.1177/03635465211029017. Epub 2021 Aug 2.
PubMed 34339317Di Paolo S, Zaffagnini S, Tosarelli F, Aggio F, Bragonzoni L, Grassi A, Della Villa F. A 2D qualitative movement assessment of a deceleration task detects football players with high knee joint loading. Knee Surg Sports Traumatol Arthrosc. 2021 Dec;29(12):4032-4040. doi: 10.1007/s00167-021-06709-2. Epub 2021 Sep 4.
PubMed 34480582Tsakanikas VD, Gatsios D, Dimopoulos D, Pardalis A, Pavlou M, Liston MB, Fotiadis DI. Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System. Front Digit Health. 2020 Nov 27;2:545885. doi: 10.3389/fdgth.2020.545885. eCollection 2020.
PubMed 34713032Paloschi D, Bravi M, Schena E, Miccinilli S, Morrone M, Sterzi S, Saccomandi P, Massaroni C. Validation and Assessment of a Posture Measurement System with Magneto-Inertial Measurement Units. Sensors (Basel). 2021 Oct 3;21(19):6610. doi: 10.3390/s21196610.
PubMed 34640930Tamura H, Tanaka R, Kawanishi H. Reliability of a markerless motion capture system to measure the trunk, hip and knee angle during walking on a flatland and a treadmill. J Biomech. 2020 Aug 26;109:109929. doi: 10.1016/j.jbiomech.2020.109929. Epub 2020 Jul 1.
PubMed 32807306Wochatz M, Tilgner N, Mueller S, Rabe S, Eichler S, John M, Voller H, Mayer F. Reliability and validity of the Kinect V2 for the assessment of lower extremity rehabilitation exercises. Gait Posture. 2019 May;70:330-335. doi: 10.1016/j.gaitpost.2019.03.020. Epub 2019 Mar 26.
PubMed 30947108Scano A, Chiavenna A, Malosio M, Molinari Tosatti L, Molteni F. Kinect V2 implementation and testing of the reaching performance scale for motor evaluation of patients with neurological impairment. Med Eng Phys. 2018 Jun;56:54-58. doi: 10.1016/j.medengphy.2018.04.005. Epub 2018 Apr 20.
PubMed 29681441Schuirmann DJ. A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. J Pharmacokinet Biopharm. 1987 Dec;15(6):657-80. doi: 10.1007/BF01068419.
PubMed 3450848Walker E, Nowacki AS. Understanding equivalence and noninferiority testing. J Gen Intern Med. 2011 Feb;26(2):192-6. doi: 10.1007/s11606-010-1513-8. Epub 2010 Sep 21.
PubMed 20857339McGinley JL, Baker R, Wolfe R, Morris ME. The reliability of three-dimensional kinematic gait measurements: a systematic review. Gait Posture. 2009 Apr;29(3):360-9. doi: 10.1016/j.gaitpost.2008.09.003. Epub 2008 Nov 13.
PubMed 19013070Tanaka R, Takimoto H, Yamasaki T, Higashi A. Validity of time series kinematical data as measured by a markerless motion capture system on a flatland for gait assessment. J Biomech. 2018 Apr 11;71:281-285. doi: 10.1016/j.jbiomech.2018.01.035. Epub 2018 Feb 8.
PubMed 29475751
Study at a glance
From the registry record, last updated by the sponsor on 26 Dec 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Smartphone-Based Markerless Motion Capture for Orthopaedic Clinical Use
- ClinicalTrials.gov ID
- NCT05370534
- Acronym / sponsor ID
- 274321
- Conditions
- Musculoskeletal Diseases or Conditions
- Keywords
- Motion Capture, MCA, Markers, Markerless, biomechanics
- Study type
- Observational
- Recruitment status
- WithdrawnReason stopped: Funding
- Enrolment
- 0 participants (actual)
- Lead sponsor
- University of ArkansasUniversity, hospital or other
- Collaborators
- National Institutes of Health (NIH)
- Study start
- 1 Dec 2023 (actual)
- Primary completion
- 18 Dec 2023 (actual)
- Study completion
- 18 Dec 2023 (actual)
- First posted
- 11 May 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The investigators propose to create a markerless smartphone-based MCA application using AR to measure joint motion and gait patterns to address this technology gap for a simple and inexpensive MCA.
Detailed description
Aim 1 will establish a testable AR-based smartphone app that measures clinically relevant lower-extremity motion components. Existing AR code will be adapted to identify and quantify hip, knee, and ankle range of motion in both the coronal and sagittal planes. Output will be produced directly to the phone display and can also be downloadable. Both single-motion and sequential-motion (gait) measures will be captured.
Aim 2 will then compare the app-based MCA to traditional gold standard MCA in healthy volunteers. A dedicated human biomechanics lab with capability for MCA with reflective markers will be utilized to test both MCA methods. Patients will perform a box jump and normal walking gait, and the measurements from both the standard marker-based MCA system and the smartphone markerless MCA system will be statistically compared.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Study Population | – | –The investigators anticipate validating two specific actions: a box jump and walking gait. Both will be captured in two planes, coronal and sagittal. Healthy patients without musculoskeletal complaints will be voluntarily enrolled to undergo motion capture with both methods, completed during the same visit to the UAMS Human Biomechanics Laboratory. Each patient will perform a box jump and walking gait using each of the two modalities. We anticipate 4 hrs will be required for each patient: 1 hr for setup before the patient arrives, 1 hr for testing, and 2 hrs for data cleaning and initial processing. This work will be performed at the UAMS Human Biomechanics Laboratory (off campus on Aldersgate Road), which is equipped for this type of analysis. |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Study participants will be males and females between the ages of 18 years old to 65 years old that are healthy and without any active injuries limiting full participation, in particular no known spinal pathology, history of lower extremity surgery or significant cardiac history. There are no restrictions based on gender, race, or ethnicity.
Key inclusion criteria (4 listed)
- 18-65 years old
- No known spinal pathology
- No previous lower extremity surgery
- No significant cardiac history
Key exclusion criteria (4 listed)
- <18 or >65 years old
- Known spinal pathology
- Previous lower extremity surgery
- Significant cardiac history
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Hip, Knee and Spine Measurements
Time frame: 1 hour
angles
Results and safety
The study was withdrawn before enrolling participants, so there are no results.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Dec 2023.
- Background: PubMed 32987197Thewlis D, Waters A, Solomon LB, Perilli E. Investigating in vivo knee volumetric bone mineral density and walking gait mechanics in healthy people. Bone. 2021 Feb;143:115662. doi: 10.1016/j.bone.2020.115662. Epub 2020 Sep 25.
- Background: PubMed 32693350Kuchen DB, Eichelberger P, Baur H, Rutz E. Long-term follow-up after patellar tendon shortening for flexed knee gait in bilateral spastic cerebral palsy. Gait Posture. 2020 Sep;81:85-90. doi: 10.1016/j.gaitpost.2020.07.003. Epub 2020 Jul 6.
- Background: PubMed 31929870Kuai S, Guan X, Liu W, Ji R, Xiong J, Wang D, Zhou W. Prediction of the Spinal Musculoskeletal Loadings during Level Walking and Stair Climbing after Two Types of Simulated Interventions in Patients with Lumbar Disc Herniation. J Healthc Eng. 2019 Dec 17;2019:6406813. doi: 10.1155/2019/6406813. eCollection 2019.
- Background: PubMed 34235227Ueno R, Navacchia A, Schilaty ND, Myer GD, Hewett TE, Bates NA. Anterior Cruciate Ligament Loading Increases With Pivot-Shift Mechanism During Asymmetrical Drop Vertical Jump in Female Athletes. Orthop J Sports Med. 2021 Mar 9;9(3):2325967121989095. doi: 10.1177/2325967121989095. eCollection 2021 Mar.
- Background: PubMed 34339317Camp CL, Loushin S, Nezlek S, Fiegen AP, Christoffer D, Kaufman K. Are Wearable Sensors Valid and Reliable for Studying the Baseball Pitching Motion? An Independent Comparison With Marker-Based Motion Capture. Am J Sports Med. 2021 Sep;49(11):3094-3101. doi: 10.1177/03635465211029017. Epub 2021 Aug 2.
- Background: PubMed 34480582Di Paolo S, Zaffagnini S, Tosarelli F, Aggio F, Bragonzoni L, Grassi A, Della Villa F. A 2D qualitative movement assessment of a deceleration task detects football players with high knee joint loading. Knee Surg Sports Traumatol Arthrosc. 2021 Dec;29(12):4032-4040. doi: 10.1007/s00167-021-06709-2. Epub 2021 Sep 4.
- Background: PubMed 34713032Tsakanikas VD, Gatsios D, Dimopoulos D, Pardalis A, Pavlou M, Liston MB, Fotiadis DI. Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System. Front Digit Health. 2020 Nov 27;2:545885. doi: 10.3389/fdgth.2020.545885. eCollection 2020.
- Background: PubMed 34640930Paloschi D, Bravi M, Schena E, Miccinilli S, Morrone M, Sterzi S, Saccomandi P, Massaroni C. Validation and Assessment of a Posture Measurement System with Magneto-Inertial Measurement Units. Sensors (Basel). 2021 Oct 3;21(19):6610. doi: 10.3390/s21196610.
- Background: PubMed 32807306Tamura H, Tanaka R, Kawanishi H. Reliability of a markerless motion capture system to measure the trunk, hip and knee angle during walking on a flatland and a treadmill. J Biomech. 2020 Aug 26;109:109929. doi: 10.1016/j.jbiomech.2020.109929. Epub 2020 Jul 1.
- Background: PubMed 30947108Wochatz M, Tilgner N, Mueller S, Rabe S, Eichler S, John M, Voller H, Mayer F. Reliability and validity of the Kinect V2 for the assessment of lower extremity rehabilitation exercises. Gait Posture. 2019 May;70:330-335. doi: 10.1016/j.gaitpost.2019.03.020. Epub 2019 Mar 26.
- Background: PubMed 29681441Scano A, Chiavenna A, Malosio M, Molinari Tosatti L, Molteni F. Kinect V2 implementation and testing of the reaching performance scale for motor evaluation of patients with neurological impairment. Med Eng Phys. 2018 Jun;56:54-58. doi: 10.1016/j.medengphy.2018.04.005. Epub 2018 Apr 20.
- Background: PubMed 3450848Schuirmann DJ. A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. J Pharmacokinet Biopharm. 1987 Dec;15(6):657-80. doi: 10.1007/BF01068419.
- Individual participant dataSharing planned: No. The Principal Investigator will carefully monitor study procedures to protect the safety of research subjects and the potential for loss of confidentiality.
Related trials for Musculoskeletal Diseases or Conditions
RecruitingObservational study
Rare Disease Patient Registry & Natural History Study - Coordination of Rare Diseases at Sanford
Rare Disorders, Undiagnosed Disorders
RecruitingPhase 2
Immune-Mediated Pathophysiology And Clinical Triage Program
Arthritis, Arthralgia
Not yet recruiting
Effects of Adding Vagal Neuromodulation to Manual Therapy in Women With Fibromyalgia
Fibromyalgia (FM) OR Fibromyalgia Syndrome, Manuel Therapy
RecruitingObservational study
Z1 Hip System: Post-Market Clinical Follow Up Study
Hip Osteoarthritis, Acute Traumatic Fracture of the Femoral Head or Neck
Active, not recruiting
Comprehensive Study of Post-surgical Pain After Pectus or Spine Surgery
Pain, Postoperative, Excavatum, Pectus
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
David B Bumpass, MD principal investigator
University of Arkansas
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Musculoskeletal Diseases or Conditions, run by University of Arkansas at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: withdrawn, as of the sponsor's last update on 26 Dec 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study was withdrawn before enrolling participants, so there are no results.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Hip, Knee and Spine Measurements (time frame: 1 hour). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05370534, which also lists 15 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Dec 2023.