DocumentCode :
1785578
Title :
Recognizing biomarker gases by monitoring the flow rates in a microfluidic channel
Author :
Erfantalab, Sobhan ; Zare, Ali Hooshyar
Author_Institution :
Electr. Eng. Dept., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear :
2014
fDate :
20-22 May 2014
Firstpage :
467
Lastpage :
471
Abstract :
Microfluidics has become popular as a diagnostic methodology owing to its generality in the examination of variety of biofluids. More recently, discrimination among gaseous analytes in microfluidic channels has also been demonstrated. Breath analysis for early detection of different diseases is important owing to its numerous advantages over other diagnostic techniques. In this paper, we introduce a simple, inexpensive and disposable device capable of discriminating between 8 important biomarkers by monitoring their flow rates along a microchannel. The data related to the flow rates of different analytes are recorded as response patterns, and their discriminative information content is extracted with signal processing techniques and presented as feature vectors in a 3-D feature space. Discrimination among acetone, benzene, carbon monoxide, ethanol, hydrogen, isopropanol, methanol and toluene at wide concentration ranges in air is experimentally demonstrated.
Keywords :
bioMEMS; biomedical equipment; carbon compounds; diseases; feature extraction; gas sensors; hydrogen; medical signal processing; microchannel flow; microsensors; organic compounds; patient diagnosis; patient monitoring; pneumodynamics; 3D feature space; acetone; benzene; biofluids; biomarker gases recognition; breath analysis; carbon monoxide; diagnostic methodology; diagnostic techniques; discriminative information content; disease detection; disposable device; ethanol; feature vectors; flow rate monitoring; gaseous analytes; hydrogen; isopropanol; methanol; microchannel; microfluidic channel; response patterns; signal processing techniques; toluene; Diseases; Ethanol; Feature extraction; Hydrogen; Methanol; Microfluidics; biomarker gases; gas analysis; gas sensor; microfluidics; molecular diffusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/IranianCEE.2014.6999586
Filename :
6999586
Link To Document :
بازگشت