TY - CHAP
T1 - Analysis of Parkinson’s disease based on mobile application
AU - Torres-Ruiz, Miguel
AU - Guzmán, Giovanni
AU - Moreno-Ibarra, Marco
AU - Acosta-Arenas, Ana
N1 - Publisher Copyright:
© 2021 Elsevier Inc. All rights reserved.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - The health-care domain is directly suitable for big data since the data sources involved in the health organizations are well known for their volume, heterogeneous complexity, and high dynamism. The role of big data analytics focused on techniques, platforms, and tools that are impacting on health institutions for implementing and delivering novel use-cases for potential health-care applications shows promising research directions to build smart health-care solutions in the well-being of people. In this context, Parkinson’s disease (PD) is a progressive neurodegenerative disorder that is characterized by motor symptoms. So, there are well-recognized problems in the diagnostics and treatment of the PD. Thus this chapter presents a methodology to monitor the symptoms related to PD, through the data collection by means of a mobile device, with the purpose of evaluating information obtained from the embedded sensor, using a set of automatic learning techniques, for its interpretation by a medical specialist.
AB - The health-care domain is directly suitable for big data since the data sources involved in the health organizations are well known for their volume, heterogeneous complexity, and high dynamism. The role of big data analytics focused on techniques, platforms, and tools that are impacting on health institutions for implementing and delivering novel use-cases for potential health-care applications shows promising research directions to build smart health-care solutions in the well-being of people. In this context, Parkinson’s disease (PD) is a progressive neurodegenerative disorder that is characterized by motor symptoms. So, there are well-recognized problems in the diagnostics and treatment of the PD. Thus this chapter presents a methodology to monitor the symptoms related to PD, through the data collection by means of a mobile device, with the purpose of evaluating information obtained from the embedded sensor, using a set of automatic learning techniques, for its interpretation by a medical specialist.
KW - Monitoring Parkinson’s disease
KW - Parkinson’s disease datasets
KW - Parkinson’s symptoms digital test
KW - UPDRS scale
KW - learning approaches
KW - manual dexterity
KW - mobile health-care application
KW - spatial memory test
KW - walking test
UR - http://www.scopus.com/inward/record.url?scp=85139355057&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-822060-3.00001-2
DO - 10.1016/B978-0-12-822060-3.00001-2
M3 - Capítulo
AN - SCOPUS:85139355057
SN - 9780128220627
SP - 97
EP - 119
BT - Artificial Intelligence and Big Data Analytics for Smart Healthcare
PB - Elsevier
ER -