Automatic Identification of Solid-Phase Medication Intake Using Wireless Wearable Accelerometers

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00076289" target="_blank" >RIV/00216224:14330/14:00076289 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/EMBC.2014.6944542" target="_blank" >http://dx.doi.org/10.1109/EMBC.2014.6944542</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EMBC.2014.6944542" target="_blank" >10.1109/EMBC.2014.6944542</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Identification of Solid-Phase Medication Intake Using Wireless Wearable Accelerometers

Popis výsledku v původním jazyce

We have proposed a novel solution to a fundamental problem encountered in implementing non-ingestion based medical adherence monitoring systems, namely, how to reliably identify pill medication intake. We show how wireless wearable devices with tri-axialaccelerometer can be used to detect and classify hand gestures of users during solid-phase medication intake. Two devices were worn on the wrists of each user. Users were asked to perform two activities in the way that is natural and most comfortable tothem: (1) taking empty gelatin capsules with water, and (2) drinking water and wiping mouth. 25 users participated in this study. The signals obtained from the devices were filtered and the patterns were identified using dynamic time warping algorithm.Using hand gesture signals, we achieved 84.17 percent true positive rate and 13.33 percent false alarm rate, thus demonstrating that the hand gestures could be used to effectively identify pill taking activity.

Název v anglickém jazyce

Automatic Identification of Solid-Phase Medication Intake Using Wireless Wearable Accelerometers

Popis výsledku anglicky

We have proposed a novel solution to a fundamental problem encountered in implementing non-ingestion based medical adherence monitoring systems, namely, how to reliably identify pill medication intake. We show how wireless wearable devices with tri-axialaccelerometer can be used to detect and classify hand gestures of users during solid-phase medication intake. Two devices were worn on the wrists of each user. Users were asked to perform two activities in the way that is natural and most comfortable tothem: (1) taking empty gelatin capsules with water, and (2) drinking water and wiping mouth. 25 users participated in this study. The signals obtained from the devices were filtered and the patterns were identified using dynamic time warping algorithm.Using hand gesture signals, we achieved 84.17 percent true positive rate and 13.33 percent false alarm rate, thus demonstrating that the hand gestures could be used to effectively identify pill taking activity.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

36th Annual International IEEE Engineering in Medicine and Biology Society Conference (EMBS), 2014

ISBN

9781424479290

ISSN

1557-170X

e-ISSN

—

Počet stran výsledku

4

Strana od-do

4168-4171

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

New York

Datum konání akce

1. 1. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000350044704041