指導教授：傅立成臺灣大學：資訊工程學研究所侯力仁Hou, Li-RenLi-RenHou2014-11-262018-07-052014-11-262018-07-052014http://ntur.lib.ntu.edu.tw//handle/246246/261510在現代社會中，因為不健康的現代生活模式導致生活疾病的比例越來越高。癌症是其中之一，並且是台灣首要死因。因此，自我健康管理與監督對於現代人們顯得越來越重要。在此研究，我們聚焦在兩大身體狀態的評估—晝夜節律與身體儲備力，主要是因為兩者互補的特性(短期與長期健康狀況)且與最嚴重的生活疾病—癌症相關。在本研究中，一個透過分析晝夜節律與生理儲備力的系統被設計來偵測異常的健康狀況。根據文獻，休息活動的循環與晝夜節律功能息息相關。此外，身體儲備力除了體重外，也都能從身體活動推論而得。因此，手腕加速度計被用來持續地記錄身體活動，並利用三軸加速度的訊號面積之每分鐘累計量，來評估活動的強度。荷重元則用來測量體重的改變。總共六個節律特徵與五個身體儲備力特徵從24小時的訊號面積時序資料與體重資料擷取出來，用來描述晝夜節律與身體儲備力的狀態。接著，支援向量資料描述被用來產生包圍正常狀況的超球體邊界。當位於邊界外的點被偵測到時，則將之視為異常狀況。其中，異常點與球體圓心的距離在此被定義為偏離程度。最後，晝夜節律與身體儲備力的偏離程度將被結合為一個分數，用來代表目前健康警戒狀態，並將之通知使用者或醫生。透過這系統，我們期望可以幫助人們更容易維持健康的生活型態，並及早發現異常身體狀況的發生，以把握黃金治療時間。Modern society shows an increasing proportion of lifestyle diseases because of un-healthy modern lifestyle. Cancer is one of them and main cause of death in Taiwan. Therefore, self-health management and monitoring is more and more important for modern people. In this research, we focus on two kinds of body status, circadian rhythm and physiologic reserve because they are complementary to each other (short-term and long-term health condition) and related to cancer which is the most serious lifestyle dis-ease. A system is designed to detect and assess abnormal health condition by analyzing circadian rhythm and physiologic reserves. According to the literature, rest-activity cycle is highly correlated with circadian function. Moreover, physiologic reserves can also be inferred by physical activity except for weight. Hence, the wrist accelerometer is used to record physical movement continuously, and signal magnitude area (SMA) of tri-axis acceleration is accumulated every minute to estimate intensity. Besides, load cell is ap-plied to measure weight changes. Totally six rhythm features and five physiologic re-serve features are extracted from 24-h SMA time series data and weight data. They are used to represent status of circadian rhythm and physiologic reserve. Then support vector data description (SVDD) is applied to generate a hyper-sphere boundary which encloses the feature of normal situations. The outliers of hyper-sphere boundary will be detected as abnormal situations. Moreover, the distance between outli-ers and sphere center is defined as deviation degree of abnormal health condition. Fi-nally, deviation degree of circadian rhythm and physiologic reserves will be combined to form a score to represent the current health alert level and then it alerts users or doctors. Through this system we expect to help people to maintain healthy lifestyles more easily and perceive abnormal health condition early to catch the golden hour for treatment.中文摘要 i 誌謝 ii ABSTRACT iii Table of Contents v List of Figures viii List of Tables ix Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Challenges 2 1.2.1 Challenges of Health Condition Assessment 2 1.2.2 Challenges of Seamless Health Monitoring 3 1.3 Objectives and Contributions 4 1.4 Thesis Organization 6 Chapter 2 Preliminaries and Backgrounds 8 2.1 Preliminaries 8 2.1.1 Support Vector Data Description (SVDD) 8 2.2 Medical Backgrounds 10 2.2.1 Circadian Rhythm 10 2.2.2 Frailty Indicator 11 2.3 Related Works 13 Chapter 3 Physical Condition Measurement Platform 15 3.1 System Architecture 15 3.2 Ubiquitous Sensor Platform 16 3.3 Data Preprocessing 18 3.3.1 Gravity Removal of Acceleration 18 3.3.2 Movement Intensity Accumulation 19 3.3.3 Bit Error Correction 21 3.4 Discussion 21 Chapter 4 Health Condition Assessment System (HCAS) 23 4.1 Rhythm Feature Extraction 24 4.1.1 Entropy Computation 24 4.1.2 Cosinor Analysis 25 4.2 Physiologic Reserves Feature Extraction 28 4.2.1 Energy Expenditure Estimation 28 4.2.2 Walking Speed Estimation 29 4.2.3 Grip Strength Estimation 30 4.2.4 Weight Changes 31 4.2.5 Exhaustion Estimation 32 4.3 Detection and Assessment of Abnormal Health Condition using SVDD 33 4.3.1 Abnormality Detection using SVDD 33 4.3.2 Health Information Web Report 37 Chapter 5 System Evaluation 39 5.1 Data Collection and Sensor Verification 39 5.2 Model Evaluation and Result 43 5.3 Model Combination 49 5.4 Discussion 52 Chapter 6 Conclusion 53 6.1 Summary 53 6.2 Future Work 54 REFERENCE 56 PUBLICATION LIST 641623238 bytesapplication/pdf論文公開時間：2017/08/25論文使用權限：同意有償授權(權利金給回饋本人)晝夜節律身體儲備力健康狀況評估餘弦分析支援向量資料描述[SDGs]SDG3thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/261510/1/ntu-103-R00922068-1.pdf