Seite - 318 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments
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fer fromasthmaworldwide [1]. In order to achieve a good symptoms control and limit
theriskof futureexacerbations,aproper long-termasthmamanagement is indispensable
[2]. Inhaled pharmaceutical therapy is themost commonmedical treatment for asthma.
In order to fully benefit from the drugs, the prescribed dose has to reach the airways.
Therefore,apoor inhalationtechniquecandecreasetheefficacyof theinhaler.Foranim-
provedasthmacontrol, patientsmust respect the timeaswell as theprocedureof taking
themedication. Thus, temporal adherence and inhalation technique adherence are key
successelements forasthmamanagement [3,4]. It isestimated that70 to80%ofpatients
do not use their inhaler correctly [4,5,6]. In fact, several factors are responsible for a
non-adherence to the instructed inhalation technique, suchasan inappropriate inhalation
flowrate, exhaling into the inhalerwhenusingadrypowder inhaler (DPI)andnothold-
ing themedication longenough in theairways [6,7]. InastudyconductedbyLavoriniet
al. [8], itwas shown that inappropriatedrug inhalationprofile iswidelycommonamong
asthma patients. For example, sometimes patients inhale too fast (>90 L/min) using
pMDIs [9] or too slow to reach the recommended flow rate (>30L/min) usingDPIs.
This leads to anon-adherenceof themedicationuse [10].Thedamage causedbyanon
adherence tomedication use varies frombeingminor to severe. It can affect symptoms
suchascoughingandwheezing,but canalso lead tomore seriousconsequences suchas
frequent asthma exacerbations and frequent hospitalizations, and thus highermorbidity
andmortality rates [11,12,13,14].
Differentmethods have been developed tomonitor the adherence tomedication of
users. Thesemethods canbe summarized in twomain categories: subjective andobjec-
tivemethods [11,15]. The subjectivemonitoringmethods aremainly based on surveys,
which consists of patients’ self-reports andobservationsmadebyphysicians.However,
thefact that thesemethodsarebasedonreportedinformationmakesthempronetoahigh
riskofbias[11,16,17].Ontheotherhand,objectivemonitoringtechniquesincludeavari-
etyofbiochemicalmethodsandelectronicmonitoring systems.Biochemical techniques
can accurately evaluate the adherence. However, they can be expensive, interventional
anddemanding in termsof special technical expertise for their implementation [11,18].
Electronicmonitoring systems are based on built-in electric sensors and are developed
for inhalersoften tocapture thefrequencyof themedicationuse.Toourknowledgethere
are no non-invasive technologies that can objectivelymonitor the inhalation flow rate
inDPIandpMDI inhalers [11,16,18,19,20,21].Most of these techniques are expensive,
difficult touseandfocusonlyon temporaladherence.There is thereforeaneedforalter-
nativemonitoring solutions thatmitigate theabove-mentionedshortcomings.Moreover,
mobile health applications are currently becomingmore popular in our daily life, espe-
cially forpatientswithchronicdiseaseswhoneedaregularcontrolof theirhealthcondi-
tion.Dueto theirprovenusabilityandefficiency,developinghealthmonitoringsolutions
usingsmartphonesappears tobeverypromising [22].
In this paper,wepropose anovel sound-based inhaler system that can remotely as-
sessboth the inhalationadherenceand the inhalation technique.Byanalyzing the sound
generatedduring the inhaleruse, theacousticmonitoringsystemcanprovideanaccurate
assessmentof the inhalationprofile.
In this context, a new solution has been proposed in [23] for the monitoring of
asthmapatients. This solution comprises an inhaler add-on devicewhich is attached to
the inhaler; it allows anaccurate assessment offlowrate during inhalationbasedon the
soundgeneratedby the add-ondevice, and can therebyprovide an estimationof the in-
Z.Jeddi etal. /Estimationof InhalationFlowParameters
forAsthmaMonitoring318
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Titel
- Intelligent Environments 2019
- Untertitel
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Autoren
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-Cía
- Verlag
- IOS Press BV
- Datum
- 2019
- Sprache
- deutsch
- Lizenz
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Abmessungen
- 16.0 x 24.0 cm
- Seiten
- 416
- Kategorie
- Tagungsbände