Cimolin Veronica, Galli Manuela
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy; IRCCS "San Raffaele Pisana", Tosinvest Sanità, Roma, Italy.
Gait Posture. 2014 Apr;39(4):1005-10. doi: 10.1016/j.gaitpost.2014.02.001. Epub 2014 Feb 7.
Instrumented 3D-gait analysis (3D-GA) is an important method used to obtain information that is crucial for establishing the level of functional limitation due to pathology, observing its evolution over time and evaluating rehabilitative intervention effects. However, a typical 3D-GA evaluation produces a vast amount of data, and despite its objectivity, its use is complicated, and the data interpretation is difficult. It is even more difficult to obtain an overview on patient cohorts for a comparison. Moreover, there is a growing awareness of the need for a concise index, specifically, a single measure of the 'quality' of a particular gait pattern. Several gait summary measures, which have been used in conjunction with 3D-GA, have been proposed to objectify clinical impression, quantify the degree of gait deviation from normal, stratify the severity of pathology, document the changes in gait patterns over time and evaluate interventions.
仪器化三维步态分析（3D-GA）是一种重要的方法，用于获取对于确定因病理状况导致的功能受限程度、观察其随时间的演变以及评估康复干预效果至关重要的信息。然而，典型的3D-GA评估会产生大量数据，尽管其具有客观性，但其使用复杂，且数据解释困难。要对患者队列进行比较以获得总体情况则更加困难。此外，人们越来越意识到需要一个简洁的指标，具体而言，就是对特定步态模式的“质量”进行单一测量。已经提出了几种与3D-GA结合使用的步态总结测量方法，以客观化临床印象、量化步态与正常情况的偏差程度、对病理严重程度进行分层、记录步态模式随时间的变化以及评估干预措施。
