AR Training Platform at Home
Study Details
Study Description
Brief Summary
Video Communications, like ZOOM, have been widely used in the time of this epidemic. But how about to design an AR / VR communication system with coaching from clinician to facilitate training at home in this time of epidemic. Vulnerable individuals at home can interact with the training platform and his/her clinician can provide online training progamme with guidance.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: AR Training System The subjects follow the daily rehabilitation training program designed by clinical and healthcare team. The system will monitor their movement and provide feedbacks to the users. The clinicians/healthcare workers can provide feedbacks and guidance to correct their movements and postures. |
Device: An Online Augmented Reality (AR) Training Platform
The hardware system is based on camera depth sensor and combined with 3D human tracking technology and intelligent technology, to monitor, correct and record the user's whole body movements in real-time, and the users can follow the training program.
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Outcome Measures
Primary Outcome Measures
- Fugl-Meyer Assessment [6-month after the first training]
Fugl-Meyer Assessment for Upper-Extremity the maximum score is 66, divided into 33 items in the form of a 3-point scale (0-2), 0 is cannot perform and 2 performs fully. Fugl-Meyer Assessment for Lower-Extremity consists of 34-level cumulative scoring system to examine lower-limb functions of hemiplegic stroke patients quantitatively through a set of lower-limb movement tasks in reflex, flexor/extensor synergy, volitional movement, coordination and speed (Fugl-Meyer, et al., 1975).
Secondary Outcome Measures
- The 12-item Short Form Survey [6-month after the first training]
It is a self-reported outcome measure assessing the impact of health on an individual's everyday life. It is often used as a quality-of-life measure.
- Barthel Index [6-month after the first training]
It assesses functional independence, generally in stroke patients.
- Berg Balance Scale [6-month after the first training]
Berg Balance Scale (BBS), consists of 56-level measures to examine balance ability and to predict falling risk with high reliability (ICC=0.98) (Steffen, Hacker & Mollinger, 2002). Stroke patients were assessed based on their performance on 14 simple mobility tasks, including transfer, standing, and reaching
- Modified Ashworth Scale [6-month after the first training]
Modified Ashworth Scale (MAS), consists of 4-level scale to examine joint spasticity based on muscle tone and resistance detected during passive stretching with good inter-rater reliability (ICC =0.85) (Bohannon & Smith, 1987).
- Functional Ambulation Category Test [6-month after the first training]
Functional Ambulatory Category (FAC) is a reliable measurement of independent walking ability on level-ground walking and stair ambulation, which is a good prediction of independent community walking post-stroke (Mehrholz, et al., 2007). FAC consists of 6-level scale: patients with FAC=4 requires supervision in level ground walking, FAC=5 requires supervision only when walking on non-level surface such as stairs.
Eligibility Criteria
Criteria
Inclusion Criteria:
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age >=65 years old or suffering from chronic disease;
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sufficient cognition to follow simple instructions as well as understand the content and purpose of the study MoCA> 21); and
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Home setting: TV with HDMI input, internet access, and a distance of 1.5m away from TV.
Exclusion Criteria:
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Any additional medical or psychological condition that would affect their ability to comply with the study protocol, e.g., a significant orthopaedic or chronic pain condition, major post-stroke depression, epilepsy, artificial cardiac pacemaker / joint;
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Severe shoulder or arm contracture/pain;
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Severe knee or hip contracture/pain;
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Pregnant women
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Department of Biomedical Engineering, The Chinese University of Hong Kong | Hong Kong | Hong Kong |
Sponsors and Collaborators
- Chinese University of Hong Kong
Investigators
- Principal Investigator: Raymond Kai-yu Tong, PhD, Department of Biomedical Engineering, The Chinese University of Hong Kong
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 2020.538