Abstract
This article presents the design and development of a wireless electronic smell system called "SOE-I", with the purpose of detecting and monitoring diseases (for example: Respiratory) by means of exhaled breath. For this purpose, a group of patients with respiratory problems (i.e. COPD) and a group of control patients (i.e., healthy or smokers) were evaluated with the sensory system. This system was performed through a high-speed wireless module where the main function is to obtain the data from a remote site, and which was coupled to a sensory system composed of 8 Metal Oxide Gas Sensors (MOS), where the breath sample was conditioned. Once the data was acquired, the data processing software was developed to carry out the characteristic analysis of the disease, where a clear discrimination of the samples of COPD with respect to healthy samples was obtained, achieving a 92% of variance through Principal Component Analysis (PCA) method and a Linear discriminant analysis (LDA) technique to classify the data set. With this equipment, an early diagnosis of a non-transmissible or transmissible disease could be made, preventing other people (i.e, medical personnel) from being infected.
