Bioengineering Department, Politecnico di Milano, p,zza Leonardo Da Vinci 32, 20133, Milano, Italy.
J Neuroeng Rehabil. 2011 Aug 20;8:45. doi: 10.1186/1743-0003-8-45.
Static posturography is user-friendly technique suitable for the study of the centre of pressure (CoP) trajectory. However, the utility of static posturography in clinical practice is somehow limited and there is a need for reliable approaches to extract physiologically meaningful information from stabilograms. The aim of this study was to quantify the postural strategy of Prader-Willi patients with the fractal dimension technique in addition to the CoP trajectory analysis in time and frequency domain.
11 adult patients affected by Prader-Willi Syndrome (PWS) and 20 age-matched individuals (
CG) were included in this study. Postural acquisitions were conducted by means of a force platform and the participants were required to stand barefoot on the platform with eyes open and heels at standardized distance and position for 30 seconds. Platform data were analysed in time and frequency domain. Fractal Dimension (FD) was also computed.
The analysis of CoP vs. time showed that in PWS participants all the parameters were statistically different from CG, with greater displacements along both the antero-posterior and medio-lateral direction and longer CoP tracks. As for frequency analysis, our data showed no significant differences between PWS and CG. FD evidenced that PWS individuals were characterized by greater value in comparison with CG.
Our data showed that while the analysis in the frequency domain did not seem to explain the postural deficit in PWS, the FD method appears to provide a more informative description of it and to complement and integrate the time domain analysis.
静态平衡描记术是一种用户友好的技术,适用于研究中心压力(CoP)轨迹。然而,静态平衡描记术在临床实践中的应用有些受限,需要可靠的方法从稳定图中提取生理相关的信息。本研究的目的是使用分形维数技术除了 CoP 轨迹在时频域中的分析之外,来量化普拉德-威利综合征(PWS)患者的姿势策略。
本研究纳入了 11 名成年 PWS 患者和 20 名年龄匹配的个体(对照组:CG)。通过力平台进行姿势采集,要求参与者赤脚站在平台上,睁眼,脚跟处于标准化的距离和位置,持续 30 秒。对平台数据进行时频域分析。同时计算分形维数(FD)。
CoP 与时间的分析表明,在 PWS 参与者中,所有参数均与 CG 存在统计学差异,前后向和左右向的位移更大,CoP 轨迹更长。至于频域分析,我们的数据显示 PWS 和 CG 之间没有显著差异。FD 表明 PWS 个体的数值大于 CG。
我们的数据表明,虽然频域分析似乎不能解释 PWS 的姿势缺陷,但 FD 方法似乎提供了更具信息量的描述,并补充和整合了时域分析。