Facial Features based Prediction of Parkinson's Disease

被引：0

作者：

Shinde, Akshada ^{[1
]}

Atre, Rashmi ^{[1
]}

Guleria, Anchal Singh ^{[1
]}

Nibandhe, Radhika ^{[1
]}

Shriram, Revati ^{[1
]}

机构：

[1] Cummins Coll Engn Women, Pune, Maharashtra, India

来源：

2018 3RD INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT) | 2018年

关键词：

Parkinson's Disease (PD); image processing; eyeblink detection; Bradykinesia;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Parkinson's disease is a slowly progressing degenerative disease of the human nervous system associated with the loss of neurons that produce dopamine, a chemical that functions as neurotransmitter. This reduction is characterized by changing blink rate, a non-motor symptom. This paper introduces a noninvasive and reliable technique of eye blink analysis, by image processing in MATLAB. The proposed system can be used by physicians as an alternative to the other existing costly analysis techniques.

引用

页数：5

共 8 条

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