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.
調査の概要
状態
条件
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究連絡先
- 名前：Dr. Sun
- 電話番号：86-10-58122959
- メール：ekangfu@163.com
参加基準
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
説明
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.
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：処理
- 割り当て：ランダム化
- 介入モデル：クロスオーバー割り当て
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
|
実験的：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.
|
|
アクティブコンパレータ：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.
|
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Change in Penetration-Aspiration Scale (PAS) Score
時間枠：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
時間枠：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
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Change in Eating Assessment Tool-10 (EAT-10) Score
時間枠：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
時間枠：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
|
協力者と研究者
捜査官
- 主任研究者：Pengxu Wei、National Research Center for Rehabilitation Techincal Aids
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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