A smartphone-based system for detecting hand tremors in unconstrained environments |
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| Authors: | Iván García-Magariño Carlos Medrano Inmaculada Plaza Bárbara Oliván |
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| Affiliation: | 1.Department of Computer Science and Engineering of Systems, Escuela Universitaria Politécnica de Teruel,University of Zaragoza,Teruel,Spain;2.Department of Electronic Engineering and Communications, Escuela Universitaria Politécnica de Teruel,University of Zaragoza,Teruel,Spain;3.Department of Psychology and Sociology, Facultad de Ciencias Sociales y del Trabajo,University of Zaragoza,Zaragoza,Spain;4.IIS Health Research Institute of Aragón,Zaragoza,Spain |
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| Abstract: | 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 application 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 volunteers for several days, which corroborated its high performance. |
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