R&D Department, Biomedical Lab SRL, Potenza, Italy.
Department of Neurology, Institute of Research and Medical Care IRCCS San Raffaele, Rome, Italy.
PLoS One. 2023 Oct 5;18(10):e0287139. doi: 10.1371/journal.pone.0287139. eCollection 2023.
Clinical rating scales typically includes subjective evaluations, and their time-limited duration may fail to capture daily fluctuations in motor symptoms resulting from Parkinson's disease (PD). Recently, a new tool (i.e. the PD-Watch) has been proposed for the objective and continuous assessment of PD motor manifestations based on evaluating frequency data from a wrist-worn tri-axial accelerometer and identifying specific movement patterns typically associated with disorders. This reduces the probability of confusing physiological or pathological movements occurring at the same frequency. In this work, we present a new method for assessing motor fluctuations through a wrist-worn accelerometer. We also explore the agreement between the continuous data generated by the proposed method and data reported in the patient diaries. In this study, twelve PD patients were recruited with an overall recording duration of 528 hours. Results of this preliminary study show that the proposed tool has suitable and adequate performances for analysing the motor signs of PD patients, and the estimated sensitivity, specificity, and accuracy of the tool are 85%, 94%, and 91%, respectively.
临床评定量表通常包括主观评估,其限时的持续时间可能无法捕捉到帕金森病(PD)引起的运动症状的日常波动。最近,提出了一种新的工具(即 PD-Watch),用于基于评估来自腕戴三轴加速度计的频率数据并识别与疾病相关的特定运动模式,对 PD 运动表现进行客观和连续评估。这降低了混淆以相同频率发生的生理或病理运动的可能性。在这项工作中,我们提出了一种通过腕戴加速度计评估运动波动的新方法。我们还探讨了所提出的方法生成的连续数据与患者日记中报告的数据之间的一致性。在这项研究中,招募了 12 名 PD 患者,总记录时间为 528 小时。这项初步研究的结果表明,该工具具有适合和充分的性能来分析 PD 患者的运动迹象,并且该工具的估计灵敏度、特异性和准确性分别为 85%、94%和 91%。