多尺度透算法分析干加速时间序列的复杂性和可变性在患有帕金森病的人群中
Stefano Filippo Castiglia1,2, Dante Trabassi1, Carmela Conte1
1Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
多尺度样本 (MSE) 有效地区分了帕金森病 (swPD) 患者与健康受试者的步态复杂性. 干部加速模式中的特定MSE尺度 (τ4, τ5) 在swPD中提供最佳的步行障碍检测.
科学领域:
- 生物力学 生物力学
- 神经学 神经学
- 信号处理 信号处理
背景情况:
- 步态复杂性分析对于理解神经系统疾病至关重要.
- 干加速模式为步态动态提供了洞察力.
- 多尺度度测量 (MSE,RCMSE,CI) 评估时间序列的复杂性.
研究的目的:
- 评估MSE,RCMSE和CI在帕金森病 (swPD) 中的步行复杂性表征方面的有效性.
- 为了区分SWPD和健康受试者 (HS) 之间的步态模式,使用干加速.
- 在检测步行障碍时确定度测量的最佳参数.
主要方法:
- 从51swPD和50HS采用磁性惯性测量单元获得的车加速数据.
- 在2000个数据点上计算了MSE,RCMSE和CI,并使用了尺度因子 (τ) 1-6.
- 分析了群体之间的差异,并计算了诊断指标 (AUC,截止点,DOR).
主要成果:
- MSE,RCMSE和CI成功地将swPD与HS区分开来.
- 在前后 (τ4, τ5) 和中侧 (τ4) 方向的MSE显示出最好的诊断权衡.
- 最佳的MSE参数与运动残疾和步行参数相关.
结论:
- 干部加速的多尺度分析是评估swPD中步行复杂性的可行方法.
- 特定的MSE尺度因子 (τ4, τ5) 提供了在swPD中最佳检测步行障碍.
- 度测量提供了一个敏感的,非侵入性的方法来表征帕金森病的步态.
相关概念视频
01:15Drug Concentration Versus Time Correlation
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
00:59Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This relationship...
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This relationship...
00:54Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters
The noncompartmental approach is a widely used method in pharmacokinetics to assess drugs' behaviors in the body. It considers several factors, including clearance, bioavailability, and total volume of distribution.
One key aspect of the noncompartmental approach is determining a drug's total clearance. This can be done by dividing the drug dose by the area under the concentration-time curve from zero to infinity. The area under the concentration-time curve represents the drug's overall...
One key aspect of the noncompartmental approach is determining a drug's total clearance. This can be done by dividing the drug dose by the area under the concentration-time curve from zero to infinity. The area under the concentration-time curve represents the drug's overall...