A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait

Pierre Gard, Lucie Lalanne, Alexandre Ambourg, David Rousseau, François Lesueur, Carole Frindel

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

1 Citation (Scopus)

Abstract

Gait monitoring is one of the most demanding areas in the rapidly growing mobile health field. We developed a smartphone-based architecture (called “NeuroSENS”) to improve patient-clinician interaction and to promote the prolonged monitoring of neurological gait by the patients themselves. A particular attention was paid to the security and privacy issues in patient’s data transfer, that are assured at three levels in an in-depth defense strategy (data storage, mobile and web apps and data transmission). Although of very wide application, our architecture offers a first application to detect intermittent claudication and gait asymmetry by estimating duty cycle and ratio between odd and even peaks of autocorrelation from vertical accelerometer signal and rotation of the trunk by the fusion of accelerometer, gyroscope and magnetometer signals in 3D. During exercices on volunteers, sensor data were recorded through the presented architecture with different speeds, durations and constrains. Estimated duty cycles, autocorrelation peaks ratios and trunk rotations showed statistically significant difference (p< 0.05) with knee brace compared to free walk. In conclusion, the NeuroSENS architecture can be used to detect walking irregularities using a readily available mobile platform that addresses security and privacy issues.

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
Pages3-9
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
CountryFrance
CityAngers
Period17/10/2417/10/25

Keywords

  • Data collection
  • Gait analysis
  • Inertial sensors
  • Mobile health
  • Privacy
  • Security
  • Smartphone-based system
  • Software architecture

ASJC Scopus subject areas

  • Computer Networks and Communications

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