Mobile app for assessing and rehabilitating oral-motor functions in stroke patients
Official title: An Investigation Into the Oral-motor and Speech Functions of Post-stroke Individuals Via an AI-powered Mobile Health Application
Run by The Hong Kong Polytechnic University · NCT06635187 · Data updated 2026-11-12
This study is testing a mobile app to see if it can help stroke patients improve their mouth and speech movements by comparing its results with those from speech therapists.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 20 Years to 85 Years |
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | The Hong Kong Polytechnic University Academic / other |
| Drugs / interventions | chemotherapy, radiation |
| Locations | 1 site (Hong Kong, Hong Kong) |
| Status | Recruiting |
| Started | May 1, 2024 |
| Main results expected | March 31, 2027 |
| Study ends | March 31, 2027 |
| Registry record updated | October 10, 2024 |
| Trial ID | NCT06635187 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include Cantonese-speaking adults aged 20 to 85, both neurologically healthy and those with a history of stroke.
✕Probably not a fit
Patients who are currently on non-oral feeding or unable to provide informed consent due to cognitive impairments may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to create a database of oral-motor and speech functions in post-stroke patients using an artificial intelligence-powered mobile health application. It will assess oral-facial movements in both neurologically healthy adults and stroke patients through instrumental and behavioral evaluations. The study will also explore the relationship between image-based analysis of oral-facial functions and assessments made by speech-language therapists. The research is conducted in Hong Kong and focuses on Cantonese-speaking participants.
Why it matters
Potential benefit: If successful, this study could enhance rehabilitation strategies for stroke patients by providing tailored assessments and interventions.
How similar studies have gone: Other studies utilizing mobile health applications for rehabilitation have shown promise, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
For Neurologically healthy adults, Inclusion Criteria: 1. age between 20 and 85 years old; 2. no severe systemic diseases such as uncontrolled diabetes, cerebrovascular diseases, head and neck tumors, or neurological disorders; 3. not undergoing radiation therapy or chemotherapy; 4. normal or corrected-to-normal vision and hearing; and 5. fluent Cantonese speakers Exclusion Criteria: 1\) participants who are unable to sign the "Informed Consent Form" due to cognitive impairments For stroke patients, Inclusion Criteria: 1. age between 20 and 85 years old; 2. a history of stroke; 3. not undergoing radiation therapy or chemotherapy; 4. normal or corrected-to-normal vision and hearing; 5. premorbid fluent Cantonese speakers; and 6. able to follow simple commands. Exclusion Criteria: 1. individuals currently on non-oral feeding; and 2. participants who are unable to sign the "Informed Consent Form" due to cognitive impairments
Where it's running
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Speech Therapy Unit, Room 701, Block EF, The Hong Kong Polytechnic Unviersity
Hong Kong, Hong Kong, Hong Kong Recruiting
Study contacts
- Principal investigator: Winsy Wing Sze Wong, PhD — The Hong Kong Polytechnic University
- Study coordinator: Winsy Wing Sze Wong, PhD
- Email: winsyws.wong@polyu.edu.hk
- Phone: 852-3400-3117
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Deep phenotyping to explore recovery in young adults after stroke
This project will test whether a detailed health and sample-collection approach (deep phenotyping) is practical and acceptable for people aged 18–55 who have had a stroke.
-
Stem cell therapy for chronic stroke recovery
This study is testing whether using a patient's own stem cells can help people with long-term stroke recovery feel better and improve their daily functioning.
-
AI-based tools to help diagnose, treat and predict stroke outcomes across multiple hospitals
This study tests AI-powered tools on real-world stroke patients to see if they can improve pre-hospital triage, diagnosis, and outcome prediction while data stay securely within each hospital.
-
Web-based therapy using action observation and mirror therapy for arm weakness after stroke
This trial tests whether a mobile telerehabilitation app delivering action observation therapy (AOT) alone or combined AOT with mirror therapy (AOT-MT) can improve upper limb function in people with subacute stroke.
-
Remote Ischaemic Conditioning for Fatigue After Stroke 2
Aat least 12 weeks after stroke, adults with post-stroke fatigue will try a simple hand-arm cuff treatment at home to see if it helps reduce fatigue.
-
Dual-task balance training plus computer-based cognitive training after stroke
In adults who recently had a stroke, the study tests whether adding computerized cognitive exercises to balance training improves balance and other recovery outcomes.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.