Live Demonstration: Smart tracker and gesture capturer for people with Parkinson’s diseases
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Smart Tracker and Gesture Capturer for People with Parkinson’s Diseases.pdf
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Type
Conference PaperKAUST Department
King Abdullah University of Science and Technology (KAUST),Thuwal,Makkah Province,Kingdom of Saudi ArabiaElectrical Engineering Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2019-12-06Online Publication Date
2019-12-06Print Publication Date
2019-10Permanent link to this record
http://hdl.handle.net/10754/660632
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Parkinson’s disease is classified as a chronic movement disorder whose incidence is proportional to the age. It is a common progressive neurodegenerative condition associated with significant disability and negative impact on the quality of life. Its manifestations involve difficulty with coordinated movements such as asymmetric resting tremor, rigidity, and bradykinesia. These symptoms and their response to levodopa constitute the basis for a clinical diagnosis of Parkinson's disease (PD) [1] . A recent study of this disease in North America showed the prevalence of PD among those aged ⩾45 years to be 572 per 100,000, with 680,000 individuals in the US aged ⩾ 45 years with PD in 2010 and the estimative to rise to approximately 930,000 in 2020 and 1,238,000 in 2030 based on the US Census Bureau’s populational projections [2] .Citation
De Oliveira Filho, J. I., Bianca de Melo Bezerra, M., & Salama, K. N. (2019). Live Demonstration: Smart tracker and gesture capturer for people with Parkinson’s diseases. 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS). doi:10.1109/biocas.2019.8919250Publisher
IEEEConference/Event name
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)Additional Links
https://ieeexplore.ieee.org/document/8919250/https://ieeexplore.ieee.org/document/8919250/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8919250
ae974a485f413a2113503eed53cd6c53
10.1109/BIOCAS.2019.8919250