首页> 外文会议>Annual rocky mountain bioengineering symposium;International ISA biomedical sciences instrumentation symposium >LOW AND HIGH FREQUENCY FLUCTUATIONS IN CENTER OF PRESSURE SIGNALS CAN DETECT POSTURAL DEFICITS IN IDIOPATHIC PARKINSON'S DISEASE PATIENTS
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LOW AND HIGH FREQUENCY FLUCTUATIONS IN CENTER OF PRESSURE SIGNALS CAN DETECT POSTURAL DEFICITS IN IDIOPATHIC PARKINSON'S DISEASE PATIENTS

机译:压力信号中心的低频和高频波动可以检测出特发性帕金森病患者的体位缺陷

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Deterioration of postural control is one of the cardinal symptom in Parkinson's disease patients. It is also related to their risk of falls and loss of independence. In this study we have explored Empirical Mode Decomposition (EMD) method to unravel the low and high frequency fluctuations in center of pressure (COP) signals collected from standardized Sensory Organization Testing (SOT) in Parkinson's disease patients. SOT can objectively measure postural control by assessing patient's ability to effectively use his/her visual, vestibular, and proprioceptive information. A total of sixty Parkinson's disease patients participated in this study (age = 68.5 ± 9.4; 44 males and 16 females). The participants performed SOT in both the "on" and "off" medication states. We found that fallers have significantly higher fluctuations in medial-lateral direction for SOT condition C6 (p=0.0001) during ON medication state. We also found that fallers have significantly higher weight asymmetric index than non-fallers (p<0.05) during both ON and OFF medication states. We found that Late PD patients have significantly higher high frequency fluctuations for VEST ratio in anterior-posterior (AP) direction (p=0.0031) and also significantly higher high frequency fluctuations in medial-lateral (ML) direction of SOT conditions C5 (p=0.001). We also found that Late PD patients had significantly lower complexity in VEST ratio. Also fallers were found to have significantly lower complexity in VEST ratio (p<0.001). In summary, low and high frequency fluctuations are sensitive measures to detect postural deficits in fallers versus non-fallers and also among early versus late PD patients. Non-linear signal analysis techniques such as EMD can detect peculiar postural deficits in idiopathic Parkinson's disease patients.
机译:姿势控制恶化是帕金森氏病患者的主要症状之一。这也与他们跌倒和失去独立性的风险有关。在这项研究中,我们探索了经验模态分解(EMD)方法,以揭示从帕金森氏病患者的标准感觉组织测试(SOT)收集的压力中心(COP)信号的低频和高频波动。 SOT可以通过评估患者有效使用其视觉,前庭和本体感受信息的能力来客观地测量姿势控制。共有60名帕金森氏病患者参加了该研究(年龄= 68.5±9.4; 44位男性和16位女性)。参与者在“开”和“关”用药状态下均进行了SOT。我们发现,在服药状态下,对于SOT条件C6,跌倒者的内外侧方向波动较大(p = 0.0001)。我们还发现,在开和关的用药状态下,跌倒者的体重不对称指数显着高于非跌倒者(p <0.05)。我们发现晚期PD患者在SOT病情C5的前后(AP)方向上的VEST比的高频波动明显更高(p = 0.0031),并且在SOT条件C5的内侧-外侧(ML)方向上的高频波动也明显更高(p = 0.001)。我们还发现,晚期PD患者的VEST比复杂度明显降低。还发现下降者的VEST比的复杂度大大降低(p <0.001)。总之,低频和高频波动是检测坠落者与非坠落者以及早期和晚期PD患者之间姿势缺陷的敏感措施。诸如EMD之类的非线性信号分析技术可以检测特发性帕金森氏病患者的特殊姿势缺陷。

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