完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lan, Kun-Chan | en_US |
dc.contributor.author | Shih, Wen-Yuah | en_US |
dc.date.accessioned | 2017-04-21T06:48:41Z | - |
dc.date.available | 2017-04-21T06:48:41Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 978-1-4799-6314-0 | en_US |
dc.identifier.issn | 2156-8065 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/135991 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Parkinson's Disease | en_US |
dc.subject | gait | en_US |
dc.subject | smartphone | en_US |
dc.title | Early Detection of Neurological Disease Using a Smartphone: A Case Study | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2015 9TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | en_US |
dc.citation.spage | 461 | en_US |
dc.citation.epage | 467 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000380410400090 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 會議論文 |