Towards quantifying the impact of Parkinson's disease using GPS and lifespace assessment

David Ireland; Simon McBride; Jacki Liddle; Helen Chenery

doi:10.1109/BMEI.2013.6747004

Towards quantifying the impact of Parkinson's disease using GPS and lifespace assessment

David Ireland, Simon McBride, Jacki Liddle, Helen Chenery

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

7 Citations (Scopus)

Abstract

A lifespace assessment comprising of metrics and clustering algorithms is applied to a GPS data-set released by the Michael J. Fox Foundation. Seven participants of the study who had been diagnosed with Parkinson's disease of various levels carried a smart-phone which recorded GPS data every second. Metrics indicated a relationship between lifespace measured using GPS and the severity of symptoms due to Parkinson's disease. This assessment has potential future application in clinical monitoring of symptom severity and treatment efficacy, and in broadly monitoring population time use and community mobility/transportation.

Original language	English
Title of host publication	Proceedings of the 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013
Publisher	IEEE Computer Society
Pages	564-569
Number of pages	6
DOIs	https://doi.org/10.1109/BMEI.2013.6747004
Publication status	Published - 2013
Externally published	Yes
Event	2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013 - Hangzhou, Hangzhou, China Duration: 16 Dec 2013 → 18 Dec 2013

Conference

Conference	2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013
Country/Territory	China
City	Hangzhou
Period	16/12/13 → 18/12/13

Access to Document

10.1109/BMEI.2013.6747004

Cite this

@inproceedings{2a25107980ae4b1a81b37dac6af510ad,

title = "Towards quantifying the impact of Parkinson's disease using GPS and lifespace assessment",

abstract = "A lifespace assessment comprising of metrics and clustering algorithms is applied to a GPS data-set released by the Michael J. Fox Foundation. Seven participants of the study who had been diagnosed with Parkinson's disease of various levels carried a smart-phone which recorded GPS data every second. Metrics indicated a relationship between lifespace measured using GPS and the severity of symptoms due to Parkinson's disease. This assessment has potential future application in clinical monitoring of symptom severity and treatment efficacy, and in broadly monitoring population time use and community mobility/transportation.",

author = "David Ireland and Simon McBride and Jacki Liddle and Helen Chenery",

year = "2013",

doi = "10.1109/BMEI.2013.6747004",

language = "English",

pages = "564--569",

booktitle = "Proceedings of the 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013",

publisher = "IEEE Computer Society",

address = "United States",

note = "2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013 ; Conference date: 16-12-2013 Through 18-12-2013",

}

Ireland, D, McBride, S, Liddle, J & Chenery, H 2013, Towards quantifying the impact of Parkinson's disease using GPS and lifespace assessment. in Proceedings of the 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013., 6747004, IEEE Computer Society, pp. 564-569, 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013, Hangzhou, China, 16/12/13. https://doi.org/10.1109/BMEI.2013.6747004

Towards quantifying the impact of Parkinson's disease using GPS and lifespace assessment. / Ireland, David; McBride, Simon; Liddle, Jacki et al.
Proceedings of the 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013. IEEE Computer Society, 2013. p. 564-569 6747004.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

TY - GEN

T1 - Towards quantifying the impact of Parkinson's disease using GPS and lifespace assessment

AU - Ireland, David

AU - McBride, Simon

AU - Liddle, Jacki

AU - Chenery, Helen

PY - 2013

Y1 - 2013

N2 - A lifespace assessment comprising of metrics and clustering algorithms is applied to a GPS data-set released by the Michael J. Fox Foundation. Seven participants of the study who had been diagnosed with Parkinson's disease of various levels carried a smart-phone which recorded GPS data every second. Metrics indicated a relationship between lifespace measured using GPS and the severity of symptoms due to Parkinson's disease. This assessment has potential future application in clinical monitoring of symptom severity and treatment efficacy, and in broadly monitoring population time use and community mobility/transportation.

AB - A lifespace assessment comprising of metrics and clustering algorithms is applied to a GPS data-set released by the Michael J. Fox Foundation. Seven participants of the study who had been diagnosed with Parkinson's disease of various levels carried a smart-phone which recorded GPS data every second. Metrics indicated a relationship between lifespace measured using GPS and the severity of symptoms due to Parkinson's disease. This assessment has potential future application in clinical monitoring of symptom severity and treatment efficacy, and in broadly monitoring population time use and community mobility/transportation.

UR - http://www.scopus.com/inward/record.url?scp=84896279572&partnerID=8YFLogxK

U2 - 10.1109/BMEI.2013.6747004

DO - 10.1109/BMEI.2013.6747004

M3 - Conference contribution

AN - SCOPUS:84896279572

SP - 564

EP - 569

BT - Proceedings of the 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013

PB - IEEE Computer Society

T2 - 2013 6th International Conference on Biomedical Engineering and Informatics, BMEI 2013

Y2 - 16 December 2013 through 18 December 2013

ER -

Towards quantifying the impact of Parkinson's disease using GPS and lifespace assessment

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this