基于小波的帕金森病症状监测方法
A Wavelet-Based Approach To Monitoring Parkinson's Disease Symptoms
摘要：
帕金森病是一种神经退行性疾病，影响着全世界数千万人。最近，人们对使用包含惯性测量单元的可穿戴设备的用于在家监测患者的系统产生了相当大的兴趣。我们提出了一种新的基于小波分析的方法，从单手腕佩戴的智能手表的数据分析，并表现出高检测性能的震颤，运动迟缓，运动障碍，这一直是在这种情况下的主要目标监测。我们还讨论了我们的控制实验结果的含义不受控制的家庭监测的自由行为的患者。
英文摘要：
Parkinson's disease is a neuro-degenerative disorder affecting tens of millions of people worldwide. Lately, there has been considerable interest in systems for at-home monitoring of patients, using wearable devices which contain inertial measurement units. We present a new wavelet-based approach for analysis of data from single wrist-worn smart-watches, and show high detection performance for tremor, bradykinesia, and dyskinesia, which have been the major targets for monitoring in this context. We also discuss the implication of our controlled-experiment results for uncontrolled home monitoring of freely behaving patients.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
