Computer-vision Aided Community Back Pain Physiotherapy Services
试验速览
- 阶段
- 不适用
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Primary movement Lumbar spine lateral flexion
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •● 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.
排除标准
- •● 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
结局指标
主要结局
Primary movement Lumbar spine lateral flexion
时间窗: 1 minute
Concurrent validity of lumbar spine lateral flexion measurement by the CV system compared to physiotherapy measurement.
次要结局
- Movement of Cervical rotation(1 minute)
- Movement of Hip internal rotation(1 minute)
- Movement of Hip abduction(1 minute)
- Movement of Shoulder flexion(1 minute)
- Movement of Lumbar global flexion(1 minute)
- Standing posture spinal kyphosis(1 minute)
- Movement 6(1 minute)
- Movement of Sit-to-stand(1 minute)
- Standing posture tragus to ear(1 minute)
- Leg strength(1 minute)
研究者
Helen Dawes
Professor
Oxford Brookes University