MedPath

AR Training Platform at Home

Not Applicable
Recruiting
Conditions
Chronic Disease
Stroke
Interventions
Device: An Online Augmented Reality (AR) Training Platform
Registration Number
NCT05627050
Lead Sponsor
Chinese University of Hong Kong
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.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
600
Inclusion Criteria
  1. age >=65 years old or suffering from chronic disease;
  2. sufficient cognition to follow simple instructions as well as understand the content and purpose of the study MoCA> 21); and
  3. Home setting: TV with HDMI input, internet access, and a distance of 1.5m away from TV.
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Exclusion Criteria
  1. 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;
  2. Severe shoulder or arm contracture/pain;
  3. Severe knee or hip contracture/pain;
  4. Pregnant women
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Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
AR Training SystemAn Online Augmented Reality (AR) Training PlatformThe 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.
Primary Outcome Measures
NameTimeMethod
Fugl-Meyer Assessment6-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
NameTimeMethod
The 12-item Short Form Survey6-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.

Modified Ashworth Scale6-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).

Berg Balance Scale6-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

Functional Ambulation Category Test6-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.

Barthel Index6-month after the first training

It assesses functional independence, generally in stroke patients.

Trial Locations

Locations (1)

Department of Biomedical Engineering, The Chinese University of Hong Kong

🇭🇰

Hong Kong, Hong Kong

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