AI-Based Dysphagia Rehabilitation Program: Development and Validation
Development and Validation of an Artificial Intelligence-Based Rehabilitation Program for Dysphagia
The goal of this clinical study is to learn if an artificial intelligence (AI)-assisted swallowing rehabilitation program can improve swallowing function in adults with dysphagia. It will also learn whether this approach can better detect aspiration (food or liquid entering the airway) and improve eating ability. The main questions it aims to answer are:
Can AI-assisted analysis help identify swallowing treatment parameters that improve swallowing right away?
Does an optimized AI-assisted swallowing treatment work better than standard treatment parameters over 6 weeks?
Can AI using data from sensors detect aspiration accurately?
Researchers will compare swallowing function before and after treatment. They will also compare optimized treatment parameters selected with AI and FEES (a camera-based swallowing test) with standard treatment parameters. In addition, researchers will compare AI model results with FEES findings to see how well the sensors can identify aspiration.
Participants will:
Complete swallowing assessments, including FEES, drinking tests, and swallowing questionnaires.
Have small sensors placed to record muscle activity, sound, oxygen levels, and breathing while swallowing.
Receive swallowing rehabilitation over 6 weeks, with treatment given in 1-week periods. During each period, treatment will be randomly assigned as either optimized parameters or standard parameters.
Complete swallowing assessments after treatment periods to measure changes in swallowing function and eating ability.
연구 개요
상태
정황
연구 유형
등록 (추정된)
단계
- 해당 없음
연락처 및 위치
연구 연락처
- 이름: Dr. Sun
- 전화번호: 86-10-58122959
- 이메일: ekangfu@163.com
참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
설명
Inclusion Criteria:
- Age ≥ 18 years;
- Diagnosed with dysphagia, confirmed by clinical screening (e.g., abnormal Water Swallow Test) or instrumental assessment (e.g., FEES);
- Conscious and alert, without severe cognitive impairment, and capable of understanding instructions and cooperating with swallowing function assessments and rehabilitation therapy;
- Provision of informed consent, with the informed consent form signed by the patient or their legal representative.
Exclusion Criteria:
- Age < 18 years;
- Presence of impaired consciousness, coma, or severe cognitive impairment, rendering the patient unable to understand instructions or cooperate with assessments and treatments;
- Presence of severe psychiatric disorders, behavioral abnormalities, or severe aphasia/hearing impairment, preventing cooperation with swallowing function assessment and therapy;
- Presence of severe anatomical abnormalities of the upper respiratory or digestive tract (e.g., laryngeal/esophageal tumors, recent major head and neck surgery), which contraindicate FEES or conventional swallowing therapy;
- Medically unstable conditions (e.g., severe respiratory distress, hemodynamic instability, acute infection phase), rendering the patient unable to tolerate assessments or rehabilitation therapy;
- Temporary dysphagia caused by acute, reversible factors (e.g., acute alcohol or drug intoxication);
- Any other conditions deemed by the investigator as inappropriate for participation in this study.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 치료
- 할당: 무작위
- 중재 모델: 크로스오버 할당
- 마스킹: 하나의
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
|
실험적: Optimized methods
|
Participants receive neuromuscular electrical stimulation (NMES) applied to swallowing-related muscles as part of swallowing rehabilitation.
The stimulation parameters are individualized using an AI-assisted optimization process.
The AI model analyzes swallowing assessment data, including FEES findings and multi-sensor signals, to select parameters expected to improve swallowing.
The selected parameters are then applied.
This intervention differs from conventional methods because the stimulation parameters are not selected solely by clinician experience, but are optimized by an AI-assisted system based on the participant's swallowing assessment results.
Participants undergo a multi-sensor screening test for dysphagia.
During swallowing, signals are collected from multiple sensors, such as surface electromyography, acoustic sensors, oxygen saturation, and respiratory sensors.
The signals are analyzed using AI-assisted algorithms to identify patterns associated with swallowing impairment and aspiration risk.
This approach provides objective, quantitative swallowing assessment and may be compared with FEES.
It differs from conventional bedside screening and FEES by combining multiple physiological signals.
|
|
활성 비교기: Standard methods
|
Participants receive neuromuscular electrical stimulation (NMES) applied to swallowing-related muscles as part of swallowing rehabilitation.
The stimulation parameters are individualized using an AI-assisted optimization process.
The AI model analyzes swallowing assessment data, including FEES findings and multi-sensor signals, to select parameters expected to improve swallowing.
The selected parameters are then applied.
This intervention differs from conventional methods because the stimulation parameters are not selected solely by clinician experience, but are optimized by an AI-assisted system based on the participant's swallowing assessment results.
Participants undergo a multi-sensor screening test for dysphagia.
During swallowing, signals are collected from multiple sensors, such as surface electromyography, acoustic sensors, oxygen saturation, and respiratory sensors.
The signals are analyzed using AI-assisted algorithms to identify patterns associated with swallowing impairment and aspiration risk.
This approach provides objective, quantitative swallowing assessment and may be compared with FEES.
It differs from conventional bedside screening and FEES by combining multiple physiological signals.
|
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Change in Penetration-Aspiration Scale (PAS) Score
기간: Baseline to 6 weeks.
|
The PAS is an 8-point scale derived from FEES (Flexible Endoscopic Evaluation of Swallowing) to quantify the depth and clearance of material entering the airway.
A score of 1 indicates normal swallowing, while 8 indicates silent aspiration.
|
Baseline to 6 weeks.
|
|
Change in Pharyngeal Residue Severity
기간: Baseline to 6 weeks
|
Residue was assessed via FEES using the Yale Pharyngeal Residue Severity Rating Scale.
This is a five-point ordinal rating scale based on residue location (vallecula and pyriform sinus) and amount (1: none, 2: trace, 3: mild, 4: moderate, and 5: severe), used to quantify post-swallow residue in the valleculae and pyriform sinuses across different consistencies.
|
Baseline to 6 weeks
|
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Change in Eating Assessment Tool-10 (EAT-10) Score
기간: Baseline to 6 weeks
|
A self-administered questionnaire assessing the severity of swallowing disorder symptoms and their impact on quality of life.
Scores range from 0 to 40, with higher scores indicating worse symptoms.
|
Baseline to 6 weeks
|
|
Change in Functional Oral Intake Scale (FOIS) Score
기간: Baseline to 6 weeks
|
Oral intake status was assessed using a 7-point scale (Functional Oral Intake Scale [FOIS]), ranging from nothing by mouth (Level 1: most impaired) to a total oral diet with no restrictions (Level 7: most functional).
|
Baseline to 6 weeks
|
공동 작업자 및 조사자
수사관
- 수석 연구원: Pengxu Wei, National Research Center for Rehabilitation Techincal Aids
연구 기록 날짜
연구 주요 날짜
연구 시작 (추정된)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
약물 및 장치 정보, 연구 문서
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미국 FDA 규제 기기 제품 연구
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