標題: Early Detection of Neurological Disease Using a Smartphone: A Case Study
作者: Lan, Kun-Chan
Shih, Wen-Yuah
資訊工程學系
Department of Computer Science
關鍵字: Parkinson's Disease;gait;smartphone
公開日期: 2015
摘要: Diagnosing Parkinson\'s disease (PD) is often difficult, especially in its early stages. It has been estimated that nearly 40% of people with the disease may not be diagnosed. Traditionally, the diagnosis of Parkinson\'s disease often requires a doctor to observe the patient over time to recognize signs of rigidity. In this work, we propose a PDR-based method to continuously monitor and record the patient\'s gait characteristics using a smart-phone. Our tool could be useful in providing an early warning to the PD patient to seek medical assistance and help the doctor diagnose the disease earlier.
URI: http://hdl.handle.net/11536/135991
ISBN: 978-1-4799-6314-0
ISSN: 2156-8065
期刊: 2015 9TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST)
起始頁: 461
結束頁: 467
Appears in Collections:Conferences Paper