非視覺型之不穩步態偵測分析設計

Detection Analysis and Design for Unstable Gait with Non-vision Base

游筱婷(Hsiao-Tin Yu)

指導教授 ： 段裘慶

國立臺北科技大學/電資學院/電腦與通訊研究所/碩士(2011年)

https://doi.org/10.6841/NTUT.2011.00374

摘要

在預防勝於治療是健康不變的最高守則下，因不穩步態是揭露早期病徵之一，步態分析已成為人體生醫之重要研究主題之一。在本研究上，我們首先提出以應用壓力感測器嵌入到鞋墊中，加上3D加速規佈建黏貼於膝蓋部分，使得我們可以製作出具非視覺型的低成本的不穩步態偵測與監控系統。本系統整合ZigBee無線感測網路實現可攜式步態監控裝置，可長期偵測人體在站立與走路時的步態資訊、足底壓力分佈與膝關節彎曲度。在我們控制端所計算出的步長、步速、步距經由我們設計Fuzzy機制，可以明顯分辨出步態完整的7步驟。此已偵測資訊和文獻標準步態比較，我們從分析數據可以早期發現使用者的非穩定步態資訊。更進一步，在足部壓力分佈量測機制上，本系統和Zebris FDM-S做比對，其誤差值在3%以內。最後，本系統可以於步態擺盪期，量測受測者膝關節彎曲度，用來分析與判斷受測者的膝關節彎曲度是否正常。因此，由上述三點足可證明本系統的實用性。

關鍵字

步態 ； 預防勝於治療 ； 壓力感測器 ； 3D加速度計 ； 非視覺型

並列摘要

Under that prevention being better than treatment is the highest and invariably healthy ruler, the gait analysis will be one of the major study topics since un-stable gait is to disclose one early symptom. In this study, we first propose that the pressure sensor device is employed and then embedded into the shoe-pad and the 3D accelerometer is built and plastered on the knee part such that our construction system is lower cost with the non-vision base for detecting and monitoring the un-stable gait. Integrated with the ZigBee wireless sensor network, we can implement the portable gait device, which can detect the body's standing and walking gait information, the sole of the foot pressure distribution, and the crooked degree of the knee joint, for a long time. In our controller, the step-length, step-speed, and step-distance can be calculated out, and then they can employed to obviously distinguish the 7 steps of one completed gait by our designed fuzzy mechanism. This detected information can be compared with the standard gait parameters in literal; the analyzed gait parameters can early disclose ones un-stable gait information. Moreover, compared with Zebris FDM-S, the sole of the foot pressure distribution of our design is about within 3% error rate. Finally, during the gait swing period, our system can detect the one’s crooked degree of knee joint such that it can be used to analyze and then judge whether the crooked degree information is the normal range or not. Therefore, the practicability of our approach can be proved by above 3 descriptions.

並列關鍵字

Gait ； Prevention better than treatment ； Pressure sensor ； 3D accelerometer ； Non-vision.

參考文獻

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