臺灣博碩士論文加值系統

維持個人生理健康的重要性，越來越受到人們的注意及重視，隨著這股風氣的盛行，造就了許多富有創意及更為便利的方法，致使人們更為普遍的監測及管理個人生理健康。不斷發展和普及的智慧型手機，具備了相機及各式各樣的感應器，使得各式的行動應用程式皆能隨時運行其中，甚至能夠無所不在的獲取生命特徵。然而，隨著普遍且可用的健康相關應用程式大量出現，人們廣泛地在智慧型手機或平板電腦上運行這些應用程式，進行生理特徵的取得，如：心跳、血壓、體溫、心電圖…等。這些獲取到的資訊，根據其變化趨勢，得以約略地評估使用者的健康程度。
健康程度的評估質量，仰賴於生命特徵資料取得的準確性上，而錯誤的生理資料極有可能推論出誤導性的結論，並產生出嚴重的後果。在本論文中，我們將於不同的運動強度下，針對前五名熱門的心跳量測應用程式進行準確性的評估。本研究將以心跳量測應用程式作為範例，進行健康監測應用程式的評估，並提供一富有洞察力的資訊，給予即將以手機應用程式作為健康監測工具的人們，一份有力的參考依據。

There has been increasing awareness and emphasis on the importance of sustaining personal health, raising the demand for innovative, more convenient ways for individuals to monitor and manage their health pervasively. The advancements and proliferation of smart mobile devices equipped with camera and sensors have made readily available many types of mobile apps which enable ubiquitous acquisition of vital signs. With the prevalence and massive availability of health related mobile apps, people have been widely using apps running on smart phones or tablets for collecting such vital signs as heart rate, blood pressure, body temperature, electrocardiogram (ECG), etc. An approximate assessment of health level can then be achieved based on the variation trend of collected data.
The quality of health level assessment relies on the accuracy of vital signs acquired. Inaccurate physiological data could deduce misleading conclusion on health level and derive severe consequences. In this thesis, we confront this issue by looking into the accuracy of the heart rate acquired from top-ranked smart phone based apps with respect to different exercise intensity. This research intends to provide some insightful information about health monitoring apps by using heart rate apps as an example. The information can be used as a reference for people who are interested in adopting mobile apps as their health monitoring tools.

摘 要 i
Abstract ii
Acknowledgements iv
Contents v
List of Figures vii
List of Tables viii
Chapter 1 Introduction 1
1.1 Research background and motivation 1
1.2 Research Objective 5
1.3 Research Overview 6
Chapter 2 Literature Review 7
2.1 Acquiring physiological data using smartphones 7
2.2 Evaluating the usability of mobile healthcare applications 9
2.3 Borg's rating of perceived exertion (RPE) scale 11
2.4 Sally Edwards' Heart Zone Training 14
2.5 Summary of Literature Review 16
Chapter 3 Research Methodology 19
3.1 Purpose of the experiment 19
3.2 Experimental subject 20
3.3 Experimental design 20
3.4 Experimental equipment 26
3.5 Experimental procedures 28
3.6 Hypothesis 29
Chapter 4 Statistical Analysis and Results Interpretation 30
4.1 Descriptive Characteristics of the Subjects 30
4.2 A Single Factor Analysis of Variance 32
4.3 Correlation Analysis 50
4.4 Agreement Analysis 56
4.5 Summary of Result and Analysis 65
Chapter 5 Conclusions and Recommendations 70
5.1 Conclusions 70
5.2 Limitation 72
5.3 Recommendations for Future Research 73
Reference 75

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