近年來，全球失智症的罹患率呈逐年上升趨勢，特別是在新冠肺炎(COVID-19)疫情蔓延期間，因防疫措施限制高齡者外出活動，進一步導致其肌肉質量與功能退化加劇，進而提高罹患失智症的風險與病情惡化的速度。失智症為一種不可逆的神經退行性疾病，藥物治療難以根治，因此目前臨床上主要採取非藥物治療方式。其中，多感官治療在眾多非藥物介入手段中，逐漸展現其對失智症患者的潛在益處。然而，傳統的復健訓練多採用徒手操作與階段性多感官刺激方式，不僅難以有效評估訓練成效，重複且單一的訓練內容亦容易造成患者訓練動機降低。隨著醫療智慧化的發展，如何促進高齡者與其生活環境的良性互動，並避免因老化與疾病所帶來的功能喪失，已成為當前重要的社會議題。為回應此一需求，本研究開發一套「高齡失智症智慧復健系統」，旨在提供專業人員一項輔助性工具，以協助其準確地為高齡失智者設計合適的復健內容，進而延緩病程進展並提升患者生活品質。本研究透過使用性測試進行驗證，並以簡短智能量表(MMSE)篩選年齡60歲以上、輕度認知功能障礙者作為研究對象，以評估其對該系統的主觀使用體驗。最終，本系統導入至一般與失智症高齡者的實際照護場域進行臨床應用，同時探討其於人工智慧應用下之發展潛力與系統樣貌。本研究所開發之系統融合遊戲化設計與多感官訓練模式，能有效提升失智症高齡者的復健參與意願。研究發現，女性高齡者對新興科技產品的接受度較高，顯示智慧裝置可作為高齡者學習與進行復健訓練的新興工具。此外，系統中融入懷舊風格的遊戲內容，能引發高齡者的情感共鳴，進而提升其整體生活品質，並有助於穩定其情緒與集中注意力。綜合而言，本系統可作為臨床專業人員於實務工作上的有效工具，亦可協助評估個體罹患失智症之風險與提供後續復健建議，未來可作為我國高齡照護與智慧復健系統發展之參考應用。

In recent years, the global prevalence of dementia has shown a continuous upward trend. Dementia is an irreversible neurodegenerative disease. Current clinical approaches primarily rely on non-pharmacological interventions. Among these, multisensory therapy has emerged as a promising method with potential benefits. However, conventional rehabilitation training often involves manual operations and phase-based multisensory stimulation, which present challenges in effectively assessing treatment outcomes. Additionally, repetitive and monotonous training content may diminish patients’ motivation to engage in therapy. The study developed an Intelligent Rehabilitation System for the elderly with Dementia, aiming to provide healthcare professionals with an assistive tool to design tailored rehabilitation programs for this population. The goal is to slow disease progression and enhance patients' quality of life. The system was validated through usability testing, targeting individuals aged 60 and above with mild cognitive impairment, as screened by the Mini-Mental State Examination (MMSE), to assess their subjective user experience. The system was ultimately deployed in real-world care settings for both general elderly populations and those with dementia, with clinical applications explored alongside its potential and design within the context of artificial intelligence technologies. The study indicated that older female participants demonstrated higher acceptance of emerging technological products, suggesting that smart devices may serve as novel tools for elderly rehabilitation and lifelong learning. Furthermore, incorporating nostalgic game elements into the system successfully elicited emotional resonance among older users, enhancing their overall quality of life while stabilizing emotions and improving attention focus. This system represents an effective tool for clinical professionals in practical settings and can be used as a valuable reference for the development of elderly care and intelligent rehabilitation technologies.

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