Atlantis Institut des Sciences Fictives

Resumen: The detection of tremors can be crucial for the early diagnosis and proper treatment of some disorders such as Parkinson’s disease. A smartphone-based applica- tion has been developed for detecting hand tremors. This application runs in background and distinguishes hand tremors from common daily activities. This application can facilitate the continuous monitoring of patients or the early detection of this symptom. The evaluation analyzes 1770 accelerometer samples with cross-validation for assessing the ability of the system for processing unknown data, obtaining a sensitivity of 95.8 % and a specificity of 99.5 %. It also analyzes continuous data for some volun- teers for several days, which corroborated its high performance.
Idioma: Inglés
DOI: 10.1007/s00779-016-0956-2
Año: 2016
Publicado en: Personal and Ubiquitous Computing 20, 6 (2016), 959-971
ISSN: 1617-4909
Factor impacto JCR: 2.395 (2016)
Categ. JCR: TELECOMMUNICATIONS rank: 33 / 89 = 0.371 (2016) - Q2 - T2
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 48 / 146 = 0.329 (2016) - Q2 - T1
Factor impacto SCIMAGO: 0.641 - Hardware and Architecture (Q1) - Management Science and Operations Research (Q2) - Computer Science Applications (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T81
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2013-50049-EXP
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Psicología Social (Dpto. Psicología y Sociología)
Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
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