A Smartphone-Based Tool for Assessing Parkinsonian Hand Tremor
A Smartphone-Based Tool for Assessing Parkinsonian Hand Tremor
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DOI：
10.1109/jbhi.2015.2471093
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发表时间：
2015-11-01
影响因子：
7.7
通讯作者：
Kotsavasiloglou, C.
中科院分区：
文献类型：
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作者：
Kostikis, N.;Hristu-Varsakelis, D.;Kotsavasiloglou, C.
本研究的目的是提出一种实用的基于智能手机的工具来准确评估帕金森病（PD）患者的上肢震颤。该工具使用来自手机加速计和陀螺仪的信号（当手机被拿在受试者手上时）来计算一组指标，这些指标可以用来量化患者的震颤症状。在一项包含25名PD患者和20名年龄匹配的健康志愿者的小规模临床研究中，我们将我们的指标与机器学习技术相结合，正确分类了82%的患者和90%的健康志愿者，这与类似的研究相比是很高的。所提出的方法可以有效地协助临床医生，或远程评估患者的病情，并将结果传达给医生。我们的工具成本低，平台无关，无侵入性，不需要专业知识。它也与PD的标准临床检查很好地匹配，可以使患者每天与医生保持“联系”。最后，它可以促进PD患者匿名档案的创建，有助于进一步研究药物的有效性或患者生活中其他被忽视的方面。
The aim of this study is to propose a practical smartphone-based tool to accurately assess upper limb tremor in Parkinson's disease (PD) patients. The tool uses signals from the phone's accelerometer and gyroscope (as the phone is held or mounted on a subject's hand) to compute a set of metrics which can be used to quantify a patient's tremor symptoms. In a smallscale clinical study with 25 PD patients and 20 age-matched healthy volunteers, we combined our metrics with machine learning techniques to correctly classify 82% of the patients and 90% of the healthy volunteers, which is high compared to similar studies. The proposed method could be effective in assisting physicians in the clinic, or to remotely evaluate the patient's condition and communicate the results to the physician. Our tool is low cost, platform independent, noninvasive, and requires no expertise to use. It is also well matched to the standard clinical examination for PD and can keep the patient "connected" to his physician on a daily basis. Finally, it can facilitate the creation of anonymous profiles for PD patients, aiding further research on the effectiveness of medication or other overlooked aspects of patients' lives.