在我們的日常生活中，有很多疾病或外傷會導致人們改變步行姿勢。因此，步態階段在幫助醫務人員確定創傷原因方面具有重要的作用。此外，步態步行階段彼此之間的時間關係是臨床上有意義的參數，可揭示正常步態與病理步態之間的差異。根據人類步態階段的特徵，人們可以輕鬆地區分異常步態，這對於醫學診斷和恢復追蹤具有重要的應用。在這項研究中，我們報告了一種用於即時步態階段檢測和術後創傷復原監測的新型平台。在這裡，我們團隊選擇Galinstan液態金屬和Ecoflex作為主要材料來開發一種柔性且可穿戴的感測器，該感測器是基於固液摩擦納米發電機（TENG）來獲取人類步行的步態相位信號。在人體運動過程中，生物力學能可以有效地轉換為電信號，此外，Ecoflex表面上的仿生微結構將極大地改善感測器的性能，並在各種情況下保持穩定的性能。進一步的模擬實驗和實際臨床測試證明了實時步態相位檢測平台能夠準確地區分異常步態，因此我們認為該平台在醫學領域具有發展潛力。

In our daily life, there are lot of diseases or trauma which will lead people to change their walking posture. Thus, the gait phase plays an important role to help medical personnel to identify the reason of the trauma. In addition, time periods comprised of walking phase of gait can be clinically meaningful parameters to reveal differences between normal and pathological gait. According to the characteristics of human walking gait phase, people can distinguish the abnormal gait easily, which has important applications for medical diagnostics and recovery tracking. In this research, we have reported a novel platform for real time gait phase detection and post-operative trauma monitoring. Here, our group choose Galinstan liquid metal and Ecoflex as main material to develop a flexible and wearable sensor which is based on solid-liquid triboelectric nanogenerators (TENG) to obtain the gait phase signal from human walking. During the human motion, the biomechanical energy will be converted into electrical signal efficiently. Moreover, the bioinspired microstructure on the Ecoflex surface will greatly help to improve the performance of the sensor that maintains stable performance under various situation. Furthermore, the simulation experiments and actual clinical tests prove that the real time gait phase detecting platform can distinguish abnormal gait precisely. We believe that the platform has great potential for future ambulatory analysis in medical field.

摘要 I
Abstract II
List of Contents III
List of Figures V
List of Tables VIII
Chapter 1 Introduction 1
Chapter 2 Literature Review and Theory 7
2.1 Human gait phase 7
2.1.1 Gait phase cycle 7
2.1.2 Applications of Gait phase detecting 10
2.1.3 Gait phase detecting method 12
2.2 wearable electronics 13
2.3.1 Working Principles of Triboelectric Nanogenerator 17
2.3.2 Applications of Triboelectric Nanogenerator 20
Chapter 3 Experimental Section 29
3.1 Material and Reagent 29
3.2 Instrument 30
3.3 Shark skin structure template pretreatment 31
3.4 Micro-replicating technology of shark skins and micro-embossing method. 32
3.5 Characterization 34
3.6 Fabrication of the TENG (for Gait phase Sensing) 34
3.7 Water contact angle measurement 35
3.8 Anti-sticky test 36
3.9 Design of gait phase system 36
3.8 Practical gait phase detection and analysis method 38
3.9 Establishment of normal gait model 39
Chapter 4 Result and Discussion 41
4.1 Bio-inspired gait phase detecting system 41
4.1.1 Design of Bio-inspired gait phase detecting system 41
4.1.2 Morphology and characteristic of shark skin structure 43
4.1.3 Analysis of anti-sticky properties of the biomimetic shark skin surfaces 46
4.2. Gait phase sensor 49
4.2.1 Study of the gait phase sensor for electric output performance 49
4.3. Gait phase detecting system 51
4.3.1 Electric output performance of gait phase detecting system 51
4.4. Human Gait phase analysis 54
4.4.1 Establish the normal human walking model 54
4.4.2 Application of trauma classification. 58
4.4.3 Application of clinical recovery tracking. 66
Chapter 5 Conclusion 68
Reference 70

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