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Computer-vision Aided Community Back Pain Physiotherapy Services

Computer-vision Aided Community Back Pain Physiotherapy Services

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04895826
Acronym
CV
Enrollment
100
Registered
2021-05-20
Start date
2021-04-01
Completion date
2022-06-30
Last updated
2021-05-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Back Pain, Healthy Control

Keywords

Posture Movement Back pain

Brief summary

Back pain affects one-third of the UK population every year with a huge impact on the health service and economy. The aim of this study is to test the validity of a computer-vision (CV) technology that uses cameras on phones/tablets/webcams to assess a person's movement and function with the ultimate goal to use the CV system to screen for back pain conditions. Participants with and without back pain will be included in the study and they will be asked to perform standard functional movements that would be used for a physiotherapy assessment for a back condition. The participants will also perform these movements in front of a camera for video recordings to be analysed by the CV system. The measurements by the CV system will be compared to the measurements by the physiotherapist. Additionally, participants will perform and record videos of the same set of movements at home to test the feasibility of the CV system in a home environment.

Detailed description

Back pain affects one-third of the UK population every year with a huge impact on the health service and economy. One specific back pain condition is Axial Spondyloarthropathy (AxSpa), which is an inflammatory spinal arthritis that causes pain and stiffness. This life-long condition presents in the early twenties as 'regular' back pain. Due to its similarity to other back pain conditions, there is an average 8.5-year delay to diagnosis. The aim of this study is to test the validity of a computer-vision (CV) technology that uses cameras on phones/tablets/webcams to assess a person's movement and function with the ultimate goal to use the CV system to screen for back pain conditions, such as AxSpa. The CV system development is led by the GoodBoost Wellbeing Limited and The National Axial Spondyloarthritis Society (NASS) is supporting the recruitment of people living with AxSpa. The CV system that has been developed is a form of artificial intelligence video analysis which is able to automatically measure specific functional movements captured on video. To validate this CV system, this study is designed to compare it to the clinical gold standard measurement by a physiotherapist. Participants with and without back pain will be included in the study and they will be asked to perform standard functional movements that would be used for a physiotherapy assessment for a back condition. The participants will also perform these movements in front of a camera for video recordings to be analysed by the CV system. The measurements by the CV system will be compared to the measurements by the physiotherapist. Additionally, participants will perform and record videos of the same set of movements at home to test the feasibility of the CV system in a home environment.

Interventions

None listed

Sponsors

Oxford Brookes University
Lead SponsorOTHER
Good Boost Wellbeing
CollaboratorUNKNOWN
National Axial Spondyloarthritis Society
CollaboratorUNKNOWN

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
Yes

Inclusion criteria

* ● The participant is willing and able to give informed consent for participation in the study. * Male or Female, aged 18 years or above. * For back pain group: diagnosed with AxSpa or long-standing non-specific LBP * For healthy group: healthy with no long-standing back pain * For the home setting, the participant must be capable of uploading videos from a smartphone or webcam.

Exclusion criteria

* ● Has had surgery within 6 months of registration * Unable to stand independently * Unable to pass screening questions to participate in physical activity * Serious neurological condition preventing normal movement or walking ability * Any severe medical conditions, such as cardiovascular disease

Design outcomes

Primary

MeasureTime frameDescription
Primary movement Lumbar spine lateral flexion1 minuteConcurrent validity of lumbar spine lateral flexion measurement by the CV system compared to physiotherapy measurement.

Secondary

MeasureTime frameDescription
Movement of Cervical rotation1 minuteConcurrent validity of: Cervical rotation seated measurement by the CV system compared to physiotherapy measurement.
Movement of Hip internal rotation1 minuteConcurrent validity of: Hip internal rotation seated measurement by the CV system compared to physiotherapy measurement.
Movement of Hip abduction1 minuteConcurrent validity of: Hip abduction standing measurement by the CV system compared to physiotherapy measurement.
Movement of Shoulder flexion1 minuteConcurrent validity of: Shoulder flexion measurement by the CV system compared to physiotherapy measurement.
Movement of Lumbar global flexion1 minuteConcurrent validity of: Lumbar global flexion measurement by the CV system compared to physiotherapy measurement.
Movement of Sit-to-stand1 minuteConcurrent validity of Sit-to-stand measurement by the CV system compared to physiotherapy measurement.
Standing posture spinal kyphosis1 minutePosture as measured by spinal kyphosis
Standing posture tragus to ear1 minutePosture as measured by tragus to walk
Leg strength1 minute5 time sit to stand
Movement 61 minuteConcurrent validity of: Chest expansion measurement by the CV system compared to physiotherapy measurement.

Countries

United Kingdom

Contacts

Primary ContactHelen Dawes, PhD
hdawes@brookes.ac.uk01865483293
Backup ContactSarah Quinton, PhD
Squinton@brookes.ac.uk

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026