DocumentCode
121108
Title
Application of MSP430 and DSP C5000 in mobile patient and environmental monitoring
Author
Oletic, Dinko ; Bilas, Vedran
Author_Institution
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
fYear
2014
fDate
11-12 Sept. 2014
Firstpage
26
Lastpage
30
Abstract
Asthma is a widespread chronic respiratory disease with rising prevalence. Current state-of-the-art in practice of long-term asthma management at best comes down to usage of smartphone-based asthma-diary for manual entry of subjectively perceived symptoms, and provision of medication reminders and alerts on environmental asthma-triggers. Nevertheless, by interfacing smartphone to low power, minimally obtrusive sensors, collecting information on the condition of the patient and the environment may enhance quality of treatment. In this paper we give an overview of the ongoing development of proof-of-concept of such system utilizing two sensors, based on MSP430 and TMS320C5505 DSP. First is the respiratory sounds monitoring sensor, utilizing detection of asthmatic wheezing, a common symptom related to severity of asthma. The second sensor is the mobile air quality sensor measuring pollutant gas concentrations and meteorological conditions, used for identification of potential asthmatic triggers in the patients surroundings.
Keywords
air pollution measurement; air quality; biomedical measurement; biomedical transducers; computerised monitoring; digital signal processing chips; diseases; environmental monitoring (geophysics); environmental science computing; medical computing; patient monitoring; sensors; smart phones; DSP C5000; MSP430; TMS320C5505 DSP; chronic respiratory disease; environmental asthma-triggers; environmental monitoring; long-term asthma management; medication reminders; meteorological conditions; mobile air quality sensor; mobile patient monitoring; pollutant gas concentration measurement; potential asthmatic trigger identification; respiratory sound monitoring sensor; sensors; smart phone-based asthma-diary; treatment quality enhancement; Abstracts; Biomedical monitoring; Digital signal processing; Heating; Patient monitoring; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Education and Research Conference (EDERC), 2014 6th European Embedded Design in
Conference_Location
Milano
Print_ISBN
978-1-4799-6841-1
Type
conf
DOI
10.1109/EDERC.2014.6924352
Filename
6924352
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