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dc.contributor.authorLan, Kun-Chanen_US
dc.contributor.authorShih, Wen-Yuahen_US
dc.date.accessioned2019-04-03T06:47:44Z-
dc.date.available2019-04-03T06:47:44Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn1877-0509en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.procs.2014.07.028en_US
dc.identifier.urihttp://hdl.handle.net/11536/125056-
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.subjectpedestrian dead reckoningen_US
dc.subjectparkinson's diseaseen_US
dc.subjectgait characteristicsen_US
dc.subjectsmartphoneen_US
dc.titleEarly Diagnosis of Parkinson's Disease using a Smartphoneen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1016/j.procs.2014.07.028en_US
dc.identifier.journal9TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC'14) / THE 11TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC'14) / AFFILIATED WORKSHOPSen_US
dc.citation.volume34en_US
dc.citation.spage305en_US
dc.citation.epage312en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000349979900037en_US
dc.citation.woscount4en_US
Appears in Collections:Conferences Paper


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