完整後設資料紀錄
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dc.contributor.authorLan, Kun-Chanen_US
dc.contributor.authorShih, Wen-Yuahen_US
dc.date.accessioned2017-04-21T06:48:41Z-
dc.date.available2017-04-21T06:48:41Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-4799-6314-0en_US
dc.identifier.issn2156-8065en_US
dc.identifier.urihttp://hdl.handle.net/11536/135991-
dc.description.abstractDiagnosing 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.isoen_USen_US
dc.subjectParkinson's Diseaseen_US
dc.subjectgaiten_US
dc.subjectsmartphoneen_US
dc.titleEarly Detection of Neurological Disease Using a Smartphone: A Case Studyen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2015 9TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST)en_US
dc.citation.spage461en_US
dc.citation.epage467en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000380410400090en_US
dc.citation.woscount0en_US
顯示於類別:會議論文