Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lan, Kun-Chan | en_US |
dc.contributor.author | Shih, Wen-Yuah | en_US |
dc.date.accessioned | 2019-04-03T06:47:44Z | - |
dc.date.available | 2019-04-03T06:47:44Z | - |
dc.date.issued | 2014-01-01 | en_US |
dc.identifier.issn | 1877-0509 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1016/j.procs.2014.07.028 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/125056 | - |
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 | pedestrian dead reckoning | en_US |
dc.subject | parkinson's disease | en_US |
dc.subject | gait characteristics | en_US |
dc.subject | smartphone | en_US |
dc.title | Early Diagnosis of Parkinson's Disease using a Smartphone | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1016/j.procs.2014.07.028 | en_US |
dc.identifier.journal | 9TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC'14) / THE 11TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC'14) / AFFILIATED WORKSHOPS | en_US |
dc.citation.volume | 34 | en_US |
dc.citation.spage | 305 | en_US |
dc.citation.epage | 312 | 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:000349979900037 | en_US |
dc.citation.woscount | 4 | en_US |
Appears in Collections: | Conferences Paper |
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