How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication?

Carole Frindel, David Rousseau

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

1 Citation (Scopus)

Abstract

Claudication is a cramping pain that is worsened by walking and relieved with rest. It is caused by inadequate blood flow to the leg muscles because of atherosclerosis. Recently, smartphones and their sensors have been proposed in the context of mobile health to monitor gait. However, their use remains disputed: objections concern the quality of the collected data. Therefore, the work presented in this paper proposes to study three main sources of noise observed in smartphone accelerometers and to objectively assess their impact on claudication detection. To do so, we first observe three noise sources in four different smartphones to get an idea of their ranges; we second compare the smartphones’ signals to a ground truth from a vision-based system and third propose to detect claudication by estimating duty cycle from the vertical accelerometer signal and to evaluate the impact of the three noise sources on this basis.

Original languageEnglish
Title of host publicationInternet of Things (IoT) Technologies for HealthCare - 4th International Conference, HealthyIoT 2017, Proceedings
EditorsJean-Baptiste Bastel, Mobyen Uddin Ahmed, Shahina Begum
PublisherSpringer Verlag
Pages19-25
Number of pages7
ISBN (Print)9783319762128
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event4th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017 - Angers, France
Duration: 2017 Oct 242017 Oct 25

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume225
ISSN (Print)1867-8211

Conference

Conference4th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017
Country/TerritoryFrance
CityAngers
Period17/10/2417/10/25

Keywords

  • Accelerometer
  • Gait analysis
  • Human motion
  • Intermittent claudication
  • Motion tracking
  • Smartphone

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication?'. Together they form a unique fingerprint.

Cite this