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

José Ilton de Oliveira Filho; Mariane Bianca de Melo Bezerra; Khaled N. Salama

doi:10.1109/BIOCAS.2019.8919250

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

José Ilton de Oliveira Filho, Mariane Bianca de Melo Bezerra, Khaled N. Salama

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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] .

Original language	English (US)
Title of host publication	2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Publisher	IEEE
ISBN (Print)	9781509006175
DOIs	https://doi.org/10.1109/BIOCAS.2019.8919250
State	Published - Dec 6 2019

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KAUST Repository Item: Exported on 2020-10-01

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10.1109/BIOCAS.2019.8919250

https://repository.kaust.edu.sa/bitstream/10754/660632/1/Smart%20Tracker%20and%20Gesture%20Capturer%20for%20People%20with%20Parkinson%e2%80%99s%20Diseases.pdf

Cite this

@inproceedings{53519a2ed7fa4f47bad9784b40fd40db,

title = "Live Demonstration: Smart tracker and gesture capturer for people with Parkinson{\textquoteright}s diseases",

abstract = "Parkinson{\textquoteright}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{\textquoteright}s populational projections [2] .",

author = "Filho, {Jos{\'e} Ilton de Oliveira} and Bezerra, {Mariane Bianca de Melo} and Salama, {Khaled N.}",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2019",

month = dec,

day = "6",

doi = "10.1109/BIOCAS.2019.8919250",

language = "English (US)",

isbn = "9781509006175",

booktitle = "2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)",

publisher = "IEEE",

}

TY - GEN

T1 - Live Demonstration: Smart tracker and gesture capturer for people with Parkinson’s diseases

AU - Filho, José Ilton de Oliveira

AU - Bezerra, Mariane Bianca de Melo

AU - Salama, Khaled N.

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2019/12/6

Y1 - 2019/12/6

N2 - 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] .

AB - 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] .

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DO - 10.1109/BIOCAS.2019.8919250

M3 - Conference contribution

SN - 9781509006175

BT - 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)

PB - IEEE

ER -

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

Abstract

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