Non-invasive detection of medication adherence using a digital smart necklace

Haik Kalantarian, Nabil Alshurafa, Tuan Le, Majid Sarrafzadeh

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

16 Scopus citations

Abstract

Studies have revealed that non-adherence to prescribed medication can lead to hospital readmissions, clinical complications, and a host of other negative patient outcomes. Though many techniques have been proposed to improve patient adherence rates, they suffer from clear drawbacks such as high complexity, user burden, and low accuracy. In this paper, we propose a two step system for detecting user adherence to medication. First, force-sensitive resistors are used to determine when the pill bottle has been opened. Subsequently, medication ingestion is detected using a smart necklace equipped with a piezoelectric sensor. Evaluations confirm high accuracy of the proposed technique.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages348-353
Number of pages6
ISBN (Electronic)9781479984251
DOIs
StatePublished - Jun 24 2015
Event13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 - St. Louis, United States
Duration: Mar 23 2015Mar 27 2015

Publication series

Name2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

Other

Other13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015
CountryUnited States
CitySt. Louis
Period3/23/153/27/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Health(social science)

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