Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/9412
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DC Field | Value | Language |
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dc.contributor.author | Goll, A | - |
dc.contributor.author | Meng, H | - |
dc.contributor.editor | Chou, Y | - |
dc.date.accessioned | 2014-12-08T09:41:58Z | - |
dc.date.available | 2014 | - |
dc.date.available | 2014-12-08T09:41:58Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Smart Science, 2(4): 178 - 184 (2014) | en_US |
dc.identifier.issn | 2308-0477 | - |
dc.identifier.uri | http://www.taeti.org/journal/index.php?journal=smartsci&page=article&op=view&path%5B%5D=266&path%5B%5D=pdf_25 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9412 | - |
dc.description | This work is licensed under a Creative Commons Attribution 3.0 License. | en_US |
dc.description.abstract | Early detection and diagnosis of Parkinson disease will provide a good chance for patients to take early actions and prevent its further development. In this paper, a smart tool for the diagnosis of Parkinsonian syndromes is designed and developed using low-cost Texas Instruments eZ430-Chronos wireless watches. With this smart tool, Parkinson Bradykinesia is detected based on the cycle of a human gait, with the watch worn on the foot, and Parkinson Tremor shaking is detected and differed by frequency 0 to 8 Hz on the arm in real-time with a developed statistical diagnosis chart. It can be used in small clinics as well as home environment due to its low-cost and easy-use property. | en_US |
dc.format.extent | 178 - 184 (7) | - |
dc.format.extent | 178 - 184 (7) | - |
dc.language.iso | en | en_US |
dc.publisher | TAETI Academic Publisher | en_US |
dc.subject | Parkinson disease | en_US |
dc.subject | Diagnosis | en_US |
dc.subject | Parkinson screening and scales | en_US |
dc.subject | Health monitoring | en_US |
dc.subject | Wireless watches | en_US |
dc.title | A smart tool for the diagnosis of Parkinsonian syndrome using wireless watches | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.6493/SmartSci.2014.266 | - |
dc.relation.isPartOf | Smart Science | - |
dc.relation.isPartOf | Smart Science | - |
pubs.issue | 4 | - |
pubs.issue | 4 | - |
pubs.publication-status | Published | - |
pubs.publication-status | Published | - |
pubs.volume | 2 | - |
pubs.volume | 2 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies/Biomedical Engineering and Healthcare Technologies | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 841.57 kB | Adobe PDF | View/Open |
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