Bravo M, Bermeo A, Huerta M, Llumiguano C, Bermeo J, Clotet R, Soto A
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:3549-3552. doi: 10.1109/EMBC.2017.8037623.
The current diagnosis of Parkinson's disease (PD) is based on a subjective assessment by the specialist. The monitoring of the tremor that presents in the hand index fingers in a patient with Parkinson's is one of the most important parameters to diagnose the evolution of the disease in an objective manner. This research analyze the tremor in the hand index fingers of patients with PD with medication and without medication. A sensor based in a triaxial accelerometer was used to acquire the data produced by the acceleration changes of parkinsonian tremor in the case of three activities: postural tremor, action tremor and rest tremor. Acquired data were processed in Matlab; the data were filtered and the spectral power density (PSD) was estimated with the Burg periodogram. It has been verified that the system presented in this article can accurately detect the parkinsonian tremors of the patients evaluated, additionally has been found that with the medication the tremors do not disappear completely, these remained with the same frequencies of PD but with a very small amplitude.
目前帕金森病(PD)的诊断基于专家的主观评估。监测帕金森病患者食指出现的震颤是客观诊断疾病进展的最重要参数之一。本研究分析了有药物治疗和无药物治疗的帕金森病患者食指的震颤情况。使用基于三轴加速度计的传感器获取在三种活动情况下帕金森震颤加速度变化产生的数据:姿势性震颤、动作性震颤和静止性震颤。采集到的数据在Matlab中进行处理;对数据进行滤波,并使用Burg周期图估计功率谱密度(PSD)。已经证实,本文介绍的系统能够准确检测所评估患者的帕金森震颤,此外还发现,使用药物后震颤并未完全消失,这些震颤仍保持帕金森病相同的频率,但幅度非常小。