RecruitingNCT06635187

ORal-motor Assessment and Rehabilitation Mobile App (ORAR App)

An Investigation Into the Oral-motor and Speech Functions of Post-stroke Individuals Via an AI-powered Mobile Health Application

Sponsor

The Hong Kong Polytechnic University

Enrollment

200 participants

Start Date

May 1, 2024

Study Type

OBSERVATIONAL

Conditions

Stroke Oral Motor Functions

Summary

The goal of this study is to set up a database of oral-motor and speech functions of post-stroke patients in Hong Kong via an artificial intelligence-powered mobile-health application. The main study objectives are: 1. To establish an image database of oral-facial movements of neurologically healthy adults and adult stroke patients in Hong Kong. 2. To evaluate the oral-motor functions of neurologically healthy adults and stroke patients via instrumental and behavioral assessment. 3. To investigate the correlation between image-based analysis of oral-facial functions and instrumental evaluations and subjective judgment by the speech-language therapist.

Eligibility

Min Age: 20 YearsMax Age: 85 Years

Inclusion Criteria12

For Neurologically healthy adults,
age between 20 and 85 years old;
no severe systemic diseases such as uncontrolled diabetes, cerebrovascular diseases, head and neck tumors, or neurological disorders;
not undergoing radiation therapy or chemotherapy;
normal or corrected-to-normal vision and hearing; and
fluent Cantonese speakers
age between 20 and 85 years old;
a history of stroke;
not undergoing radiation therapy or chemotherapy;
normal or corrected-to-normal vision and hearing;
premorbid fluent Cantonese speakers; and
able to follow simple commands.

Exclusion Criteria4

\) participants who are unable to sign the "Informed Consent Form" due to cognitive impairments
For stroke patients,
individuals currently on non-oral feeding; and
participants who are unable to sign the "Informed Consent Form" due to cognitive impairments

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Interventions

DIAGNOSTIC_TESTSpeech and swallowing assessment

This is an observational study in which post-stroke patients will undergo a series of assessments tapping oral-motor and speech functions. Both behavioral and instrumental examinations will be used. Their performance will be captured via an artificial intelligence(AI)-powered mobile health application. The relation between the oral/speech-motor movements captured by the app and their performance as measured via instruments/behavioral means will be investigated.