Is there any association between ventricular ectopy and falls in community-dwelling older adults?

Saman Parvaneh, Bijan Najafi, Nima Toosizadeh, Irbaz Bin Riaz, Martha J Mohler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Uni-channel ECG was recorded using a wearable-sensor in 45 female elders aged 65 and above. Participants were categorized as non-fallers (n=22) and fallers (n=23) based on historical report of falling in the last 12 month. For data analysis, PVC episodes were extracted using an automatic code developed in Matlab, and checked manually by an expert to ensure accuracy. Number of PVC episodes per hour was extracted as the parameter of interest in this study and compared between fallers and non-fallers using analysis of variance (ANOVA) test. Number of PVC episodes per hour was not significantly different (p>0.05) between non-fallers (41.65±74.22) and fallers (43.62±59.48). In this study, the association of PVC frequency with fall risk and fear of fall was also studied; Number of PVC episodes were higher in high fall risk compared to low fall risk, and in high concern of fall compared to low concern of fall (p>0.05).

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference, CinC 2016
EditorsAlan Murray
PublisherIEEE Computer Society
Pages433-436
Number of pages4
ISBN (Electronic)9781509008964
DOIs
StatePublished - Mar 1 2016
Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
Duration: Sep 11 2016Sep 14 2016

Publication series

NameComputing in Cardiology
Volume43
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Other

Other43rd Computing in Cardiology Conference, CinC 2016
Country/TerritoryCanada
CityVancouver
Period9/11/169/14/16

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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