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Title:MOBILNA APLIKACIJA ZA SLEDENJE FREKVENCI DIHANJA
Authors:ID Štern, Matej (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf UNI_Stern_Matej_2013.pdf (2,18 MB)
MD5: F661F1BAE76F96CFC17457C9665934CA
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu predstavljamo mobilno aplikacijo, ki s pomočjo vgrajenega pospeškometra meri premike prsnega koša ter sproti vrednoti in izrisuje amplitudo in frekvenco dihanja. Aplikacijo smo zasnovali na operacijskem sistemu Android, testirali pa smo jo na mobilnih telefonih Samsung Galaxy S3 I9300, Samsung Galaxy Note N7000 in Samsung Galaxy Ace S5830. Delovanje aplikacije smo preverili na štirih odraslih zdravih prostovoljcih in enem dojenčku. Meritve dihalnih vzorcev smo opravili tako v mirovanju kot tudi neposredno po krajši telesni vadbi. Posnemali smo tudi različne dihalne motnje in ovrednotili zaznavo nenavadnih dihalnih vzorcev, kot so plitko in hitro dihanje, začasno prekinjeno dihanje in zadržan vdih. V vseh primerih je aplikacija uspešno zaznala praktično vse vdihe in izdihe ter uspešno ovrednotila njihovo frekvenco in amplitudo.
Keywords:dihanje, bolezni dihalnega trakta, mobilna aplikacija, pospeškometer, frekvenca dihanja
Place of publishing:[Maribor
Publisher:[M. Štern]
Year of publishing:2013
PID:20.500.12556/DKUM-42792 New window
UDC:[004.42:621.395.721.5]:612.2(043.2)
COBISS.SI-ID:17554966 New window
NUK URN:URN:SI:UM:DK:N3NSH3FF
Publication date in DKUM:06.11.2013
Views:1661
Downloads:166
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:MOBILE APPLICATION FOR DETECTION OF RESPIRATORY RATE
Abstract:This thesis presents a mobile application which, with the help of a built-in accelerometer, measures movements of the chest area, and simultaneously evaluates and delineates amplitude and frequency of breathing. Application was designed for Android operating system, and tested on following mobile phones: Samsung Galaxy S3 I9300, Samsung Galaxy Note N7000 and Samsung Galaxy Ace S5830. The application was tested on four completely healthy adult volunteers and one infant. The measurements of breathing patterns were made both in resting state, and immediately after a short physical activity. We also mimicked different respiratory disorders, and evaluated detection of unusual breathing patterns, such as: shallow and rapid breathing, temporarily suspended breathing, and breath hold. In all cases, the application successfully detected all of inhalations and exhalations, and also successfully evaluated their frequency and amplitude.
Keywords:respiration, respiratory diseases, mobile application, accelerometer, respiratory rate


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