帕金森病患於轉彎之步態分析系統開發

Development of gait analysis system for Parkinson disease patient in turning

賴羿蓉(Yi-Jung Lai)

指導教授 ： 蕭俊祥

國立臺北科技大學/機電學院/機電整合研究所/碩士(2012年)

https://doi.org/10.6841/NTUT.2012.00142

摘要

本論文針對目前較少人研究之轉彎與不對稱性步態方向作研究，並設計一步態分析系統，針對提醒對於帕金森氏病異常步態患者行走轉彎時的步態作分析。帕金森氏症為一影響運動之進行性發展的神經系統疾病。在研究上，專心合併提醒的措施用於幫助步態已被廣為知道，但是其對於改善步行轉彎的臨床證據卻還是很少。
本研究的目的之一在於開發廉價且具可攜性之步態分析系統。本系統包括硬體端與軟體端。硬體端方面包括一只藍芽無線陀螺儀、兩只藍芽無線腳底壓力感測器、與一只雷射掃描儀。軟體端方面可同時儲存並分析帕金森病患之步態。另一為，針對患者在使用提醒與不使用提醒情況於各種行走狀況下，分析其各種的步態狀況，包括：走路速度、跨步距離、走路頻率與異常步態（如步態凍結）等。
本論文以五位正常人其各走設計之路徑三次作系統之一致性與準確性之分析，其為將系統計算之結果與影片做一比較，其時間之R2為0.99、步數之R2為1。於病患上，本系統也可判斷正常步態與異常步態之不同。

關鍵字

帕金森氏症 ； 步態分析 ； 步態障礙 ； 轉彎

並列摘要

In this thesis, we have designed a analysis system which can research about turning and irregular gait for Parkinson’s disease (PD) in walking. Parkinson’s disease is a degenerative disorder of the central nervous system. This disease affects the movements and produces some motor symptoms. Targeted attention in combination with a cue to enhance gait have been well-established, but the evidence is limited when it is applied to alleviate gait problems on turning.
The analysis system consisted of sensors and software programs is low-cost and portable. Sensors include a wireless gyroscope, two wireless force sensitive resistors, and a laser scanner. The software programs could save and analyze data at the same time. Walking speeds, stride length, and cadence of the non-cued and cued gait are the main measures of gait performance.
Five normal people walked the designed path three times to analyze consistence and accuracy of the system. We could know that R2 of time was 0.99 and R2 of steps number was 1 by comparing the results of the system analyzed with video. Also, the system could differentiate between normal steps and unusual steps.

並列關鍵字

Parkinson’s disease ； Gait analysis ； Gait disorders ； turns

參考文獻

[1] Giladi N, and Nieuwboer A. Understanding and treating freezing of gait in parkinsonism, proposed working definition, and setting the stage. Movement Disorders. 2008, 23 Suppl 2:S423-5.

[2] Nieuwboer A, Kwakkel G, Rochester L, Jones D, van Wegen E, and Willems AM, et al. Cueing training in the home improves gait-related mobility in Parkinson's disease: the RESCUE trial. Neurol Neurosurg Psychiatry. 2007; 78(2):134-40.

[3] Yasuyuki Okuma, Nobuo Yanagisawa. The Clinical Spectrum of Freezing of Gait in Parkinson’s Disease. Movement Disorders. Vol. 23, Suppl. 2, 2008, pp. S426–S430.

[4] Arash Salarian, Heike Russmann, Francois J. G. Vingerhoets, Catherine Dehollain. Gait Assessment in Parkinson’s Disease: Toward anAmbulatory System for Long-Term Monitoring. IEEE Transactions on biomedical engineering. 2004 August. Vol. 51, NO.8, pp. 1434-1443.

[5] Iris Tien, Steven D. Glaser, and Michael J. Aminoff. Characterization of Gait Abnormalities in Parkinson’s Disease Using a Wireless Inertial Sensor System. 32nd Annual International Conference of the IEEE EMBS. Buenos Aires, Argentina, August 31 - September 4, 2010.