A smartphone-based system for detecting hand tremors in unconstrained environments

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• 作者：Iván García-Magariño ; Carlos Medrano ; Inmaculada Plaza…
• 关键词：Accelerometer ; Mobile application ; Pervasive healthcare ; Tdetection ; Wearable sensors
• 刊名：Personal and Ubiquitous Computing
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：20
• 期：6
• 页码：959-971
• 全文大小：1,471 KB
• 刊物类别：Computer Science
• 刊物主题：User Interfaces and Human Computer Interaction
  
• 出版者：Springer London
• ISSN：1617-4917
• 卷排序：20

文摘

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.