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研究生: 郭彥頡
Kuo, Yen-Chieh
論文名稱: 握力訓練與測量系統設計開發研究
Integration of Grip Strength Measurement and Training System Design
指導教授: 林彥呈
Lin, Yang-Cheng
學位類別: 碩士
Master
系所名稱: 規劃與設計學院 - 工業設計學系
Department of Industrial Design
論文出版年: 2025
畢業學年度: 113
語文別: 英文
論文頁數: 201
中文關鍵詞: 高齡化健康評估握力訓練裝置視覺化數據記錄平台遠端復健
外文關鍵詞: Aging Population, Health Assessment, Grip Strength Training Device, Visualized Data Recording Platform, Remote Rehabilitation
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  • 隨著醫療科技的持續進步,人類平均壽命顯著延長,全球正面臨高齡化社會及超高齡社會的到來,而此種人口結構的轉變加劇了與高齡相關的健康挑戰,尤其是高齡者更容易受到多種慢性疾病的影響,包括心血管疾病、糖尿病及認知功能障礙等,這些疾病不僅對個體的生活質量造成嚴重影響,也給全球醫療系統帶來了巨大的壓力,再加上Covid-19疫情的爆發亦加速了高齡人口所造成的影響,醫療相關資源的匱乏早已成為需要迫切關注的議題,而在應對這些健康挑戰的過程中,握力作為一項重要的生理指標,正日益受到關注。握力數值不僅可以用來評估肌肉骨骼系統的健康狀態,更已被證實與心血管疾病、糖尿病、認知功能障礙和失智症等多種因老化常見的疾病之間存在顯著相關性,也因此握力在健康管理領域中,作為一種簡單、快速且低成本的健康指標逐漸被廣泛使用。然而,現有的握力測量與訓練方法存在一些明顯的限制,其中一個主要問題便是市面上握力相關設備多侷限於單一功能,僅能提供基礎的硬體測量,缺乏數位紀錄與追蹤之功能。此外,這些設備也無法針對等長收縮進行有效訓練,有別於等張訓練,等長訓練除了在手部功能改善、靈活性提升及生活質量提升之效果相同外,其較為靜態的訓練動作能夠提供高齡者更為安全的訓練方式。
    而隨著資訊科技的發展與疫情的推波助瀾,智慧醫療的概念逐漸展露頭角,其不僅能夠有效降低醫療流程的成本和風險,提高醫療資源的利用效率,亦能降低因高齡化人口增長所帶來之醫療成本,最終推動遠距醫療的發展。也因此,為了因應此一全球性挑戰與趨勢,本研究旨在開發一套整合硬體握力訓練裝置和軟體視覺化數據紀錄平台的軟硬體整合系統,除了透過硬體不同觸覺紋理、阻力以及重量的變化提高高齡者在握力訓練時的趣味性和多元性外,亦搭配軟體的資訊視覺化應用以及訓練中的即時視覺回饋輔助,有效率的協助高齡者掌握自身健康狀況,並降低其在科技時代下的數位落差。

    With the continuous advancement of medical technology, the average human lifespan is steadily increasing, accompanied by a global trend of population aging. The emergence of aged and super-aged societies has made the health challenges associated with aging more prominent. Older adults are susceptible to various chronic conditions, including cardiovascular diseases, diabetes, and cognitive impairments. These conditions not only severely affect individuals' quality of life but also place a substantial burden on healthcare systems. In addressing these health challenges, grip strength has increasingly gained attention as a physiological indicator. Grip strength measurement can be used to assess the health of the musculoskeletal system, and studies have demonstrated that grip strength data can predict the risk of multiple chronic diseases, such as cardiovascular diseases, diabetes, and cognitive impairments. There is a significant correlation between grip strength and these conditions, and a decline in grip strength is also considered an important indicator of the onset of dementia in the elderly.
    However, current methods of grip strength measurement and training have notable limitations. One major issue is the lack of systematic recording and tracking of grip strength data. Current approaches often fail to present grip strength measurements in a visual format, which can reduce motivation for older adults and limit healthcare professionals' ability to monitor their condition effectively. To address this global challenge, this study aims to develop an integrated system comprising a grip strength training device and a visualized data recording platform. Grip strength training and measurement can be easily conducted at home, which is particularly important for elderly who often face mobility or transportation challenges when traveling to hospitals for rehabilitation. This system helps elderly users better understand their health status and offers potential for remote rehabilitation. It allows them to carry out rehabilitation exercises at home while healthcare professionals can provide guidance and adjust training plans based on remote monitoring of grip strength data. This approach to remote rehabilitation can improve the quality of life for elderly and enhance the effectiveness of their rehabilitation.

    摘要 i SUMMARY iii ACKNOWLEDGEMENTS iv TABLE OF CONTENTS iv LIST OF TABLES viii LIST OF FIGURES ix LIST OF SYMBOLS AND ABBREVIATIONS xii CHAPTER 1 INTRODUCTION 13 1.1 Background 13 1.2 Research Motivation 16 1.3 Research Objectives 18 1.4 Research Framework 21 CHAPTER 2 Literature Review 25 2.1 The Importance of Grip Strength as a Physiological Indicator 25 2.1.1 Grip Strength and Disease 26 2.1.2 Grip Strength and Muscle Groups 31 2.1.3 Grip Strength Measurement 34 2.1.4 Grip Strength Training 39 2.2 Trends in Smart Healthcare 46 2.2.1 Smart Healthcare Market 47 2.2.2 Health Data Management Systems 51 2.3 Information Visualization in the Healthcare Field 59 2.3.1 Elements of Information Visualization 62 2.3.2 Clinical Applications of Information Visualization 63 2.3.3 Real-Time Visual Feedback Assistance 66 2.4 Design Principles for the Elderly Population 71 2.4.1 Tactile Perception and Psychological Experience in the Elderly 73 2.4.2 Interface Design Principles for the Elderly 75 2.4.3 Usability Definition and Testing 80 CHAPTER 3 Research Methodology 86 3.1 Hardware-Software Integrated System Design and Development 87 3.1.2 Hardware Device Design and Development 91 3.1.3 Software Interface Design and Development 93 3.2 Usability Evaluation Experiment 98 3.2.1 First Phase Usability Study 99 3.2.2 Second Phase Usability Study 104 3.3 Real-Time Visual Feedback Assistance for Isometric Grip Strength Training 105 3.3.1 Reliability and Validity Pre-Test 106 3.3.2 8-Week Isometric Grip Strength Training 109 CHAPTER 4 Integrated System Development  113 4.1 V1 System Design and Development  114 4.1.1 V1 Hardware Design and Development 115 4.1.2 V1 Software Design and Development 120 4.2 Qualitative Analysis Results 130 4.2.1 Discussion on V1 Hardware Design Issues 130 4.2.2 Discussion on V1 Software Design Issues 133 4.2.3 Summary of V1 System Design Guidelines 140 4.3 V2 System Design and Development 142 4.3.1 V2 Hardware Design and Development  144 4.3.2 V2 Software Design and Development 146 CHAPTER 5 Results and Discussion  153 5.1 Usability Questionnaire Analysis 153 5.1.1 Usability Questionnaire Analysis 154 5.1.2 Analysis of Scores for Ten Usability Items 156 5.2 Analysis of System Task Completion Time 159 5.3 Grip Strength Data Analysis 166 5.3.1 Reliability and Validity Analysis of the Equipment 167 5.3.2 Grip Strength Stability Analysis 171 5.4 General Discussion 175 CHAPTER 6 Conclusion 177 6.1 Research Summary 177 6.2 Future Research Recommendations 182 REFERENCES 183

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