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    Live Demonstration: Smart tracker and gesture capturer for people with Parkinson’s diseases

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    Name:
    Smart Tracker and Gesture Capturer for People with Parkinson’s Diseases.pdf
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    667.1Kb
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    PDF
    Description:
    Accepted manuscript
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    Type
    Conference Paper
    Authors
    Filho, José Ilton de Oliveira
    Bezerra, Mariane Bianca de Melo
    Salama, Khaled N. cc
    KAUST Department
    King Abdullah University of Science and Technology (KAUST),Thuwal,Makkah Province,Kingdom of Saudi Arabia
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019-12-06
    Online Publication Date
    2019-12-06
    Print Publication Date
    2019-10
    Permanent link to this record
    http://hdl.handle.net/10754/660632
    
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    Abstract
    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.2019.8919250
    Publisher
    IEEE
    Conference/Event name
    2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
    DOI
    10.1109/BIOCAS.2019.8919250
    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
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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