臺灣博碩士論文加值系統

近幾年由於科技進步及醫學發達與普及，人口老化速度持續增加，但越年長身體機能也越逐漸下降，長輩可能在遭遇傷痛與疾病變化時，造成生活功能障礙，需要他人協助，行動不便或偏遠地區的年長者，常因不易到醫院、診所接受復健服務，而放棄治療；在老化的過程中，因生理機能逐漸退化加上帶有多重慢性病，老年人活動慾望銳減，加入肌肉量減少、平衡能力下降、骨質流失，也增加了跌倒骨折的風險。
增加肌肉量與力量最好的運動就是阻力訓練，而滑輪機的軌跡較固定，動作角度較不受限制，更貼近每個人的人體結構，且安全性也相對有保障，因此本研究設計並製作一居家復健訓練器材，以滑輪吊環訓練機為主要工具，利用盛群HT66F2390微控制器做為主要控制晶片，驅動壓力感測器並接收來自ESP32-CAM人臉辨識的資料，進行資料的整合並上傳遠端，運動結束後將資料傳至遠端讓自己、醫師及家人能夠即時查看狀況。
經由本研究前測後制定為期四週的訓練菜單，讓受試者訓練四週後，再讓五位受試者重新操作第一週的訓練菜單，可以明確地發現，五位受試者的肌力都有上升，使得他們完成組數時間相較於第一週訓練時明顯加快許多。根據實驗結果顯示，有的受試者進步幅度較小，有的受試者進步幅度較大，達到14.5%，證明整體肌力都有上升。由此可知，使用本研究之復健訓練裝置，對於提升肌力、降低受傷風險、減緩老化所帶來的影響是大有幫助。

In recent years, due to technological advancements and advances in medicine, as well as increased accessibility to medical services, the aging population has been growing rapidly. However, as people age, their physical functions gradually decline. Elderly individuals may experience injuries, illnesses, or changes in health that result in impaired daily functioning, requiring assistance from others. Additionally, elderly individuals in remote or less accessible areas often face challenges in accessing rehabilitation services, leading them to forgo treatment.Throughout the aging process, physiological functions deteriorate, and the presence of multiple chronic conditions may diminish the elderly's desire for physical activity. This decline in physical activity may be compounded by reduced muscle mass, decreased balance, and bone density loss, leading to an increased risk of falls and fractures.
The best exercise to increase muscle mass and strength is resistance training, and a pulley machine provides a more versatile and less restrictive range of motion, closely matching the individual's body structure. It also offers relatively higher safety levels. Therefore, this research aims to design and develop a home-based rehabilitation training equipment, primarily using a pulley suspension training machine. The system incorporates an HT66F2390 microcontroller from Sheng-Group to serve as the main control chip, driving pressure sensors and receiving data from an ESP32-CAM for facial recognition. The data is then integrated and uploaded to a remote server, allowing real-time monitoring of the exercise progress by the user, medical professionals, and family members after completing the workout.
Through the pre-test conducted in this research, a four-week training menu was formulated for the participants. After undergoing the training for four weeks, five of the participants were asked to repeat the exercises from the first week's training menu. The results clearly showed that all five participants had increased their muscle strength, significantly reducing the time taken to complete the sets compared to the first week's training.Based on the experimental results, some participants showed smaller improvements, while others demonstrated larger improvements, reaching up to 14.5%. This demonstrates an overall increase in muscle strength. It can be concluded that the use of the rehabilitation training device developed in this research significantly helps in enhancing muscle strength, reducing the risk of injuries, and slowing down the effects of aging.

摘要............................i
Abstract.......................ii
誌謝...........................iv
目錄............................v
表目錄........................vii
圖目錄.......................viii
第一章 緒論....................1
1.1 前言....................1
1.2 研究動機與目的...........1
1.3 論文架構.................2
第二章 文獻探討..................3
2.1 老年人肌少症.............3
2.2 老化對身體的影響..........3
2.3 阻力訓練.................4
第三章 研究內容與方法.............6
3.1 微控制器HT66F2390........6
3.2 系統硬體架構..............7
3.3 系統操作流程..............8
3.3.1系統動作流程圖.............8
3.4 實驗設計與流程............9
3.4.1 實驗前測.................9
3.4.2 訓練部位.................9
3.4.3 實驗訓練.................9
3.5 系統外觀設計..............10
3.5.1 外觀設計概念.............10
3.5.2 介面設計.................11
3.5.3 模型實體外觀..............12
3.5.4 使用介面實體外觀..........13
3.5.5 人臉辨識介面..............14
3.5.6 壓力感測裝置..............15
3.6 系統電路架構...............16
第四章 實驗結果與討論...............17
4.1人臉辨識測試....................17
4.2滑輪訓練測試....................19
4.3實際訓練成果....................21
4.3.1 前測與最大負荷量............21
4.3.2 四週訓練菜單與完成時間結果...22
4.3.3 Google試算表...............24
4.3.4 四週訓練後檢驗成果..........25
第五章 結論........................26
5.1 結論.......................26
5.2 未來展望...................26
參考文獻...........................27

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