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Open AccessArticle

A Novel Subspace Alignment-Based Interference Suppression Method for the Transfer Caused by Different Sample Carriers in Electronic Nose

1
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongwen Road 2nd, Nan’an District, Chongqing 400065, China
2
School of Microelectronics and Communication Engineering, Chongqing University, 174 ShaZheng Street, ShaPingBa District, Chongqing 400044, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(22), 4846; https://doi.org/10.3390/s19224846
Received: 9 October 2019 / Revised: 29 October 2019 / Accepted: 4 November 2019 / Published: 7 November 2019
(This article belongs to the Collection Multi-Sensor Information Fusion)
A medical electronic nose (e-nose) with 31 gas sensors is used for wound infection detection by analyzing the bacterial metabolites. In practical applications, the prediction accuracy drops dramatically when the prediction model established by laboratory data is directly used in human clinical samples. This is a key issue for medical e-nose which should be more worthy of attention. The host (carrier) of bacteria can be the culture solution, the animal wound, or the human wound. As well, the bacterial culture solution or animals (such as: mice, rabbits, etc.) obtained easily are usually used as experimental subjects to collect sufficient sensor array data to establish the robust predictive model, but it brings another serious interference problem at the same time. Different carriers have different background interferences, therefore the distribution of data collected under different carriers is different, which will make a certain impact on the recognition accuracy in the detection of human wound infection. This type of interference problem is called “transfer caused by different sample carriers”. In this paper, a novel subspace alignment-based interference suppression (SAIS) method with domain correction capability is proposed to solve this interference problem. The subspace is the part of space whose dimension is smaller than the whole space, and it has some specific properties. In this method, first the subspaces of different data domains are gotten, and then one subspace is aligned to another subspace, thereby the problem of different distributions between two domains is solved. From experimental results, it can be found that the recognition accuracy of the infected rat samples increases from 29.18% (there is no interference suppression) to 82.55% (interference suppress by SAIS). View Full-Text
Keywords: electronic nose; subspace alignment; interference suppression; transfer electronic nose; subspace alignment; interference suppression; transfer
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MDPI and ACS Style

Liang, Z.; Tian, F.; Zhang, C.; Yang, L. A Novel Subspace Alignment-Based Interference Suppression Method for the Transfer Caused by Different Sample Carriers in Electronic Nose. Sensors 2019, 19, 4846. https://doi.org/10.3390/s19224846

AMA Style

Liang Z, Tian F, Zhang C, Yang L. A Novel Subspace Alignment-Based Interference Suppression Method for the Transfer Caused by Different Sample Carriers in Electronic Nose. Sensors. 2019; 19(22):4846. https://doi.org/10.3390/s19224846

Chicago/Turabian Style

Liang, Zhifang; Tian, Fengchun; Zhang, Ci; Yang, Liu. 2019. "A Novel Subspace Alignment-Based Interference Suppression Method for the Transfer Caused by Different Sample Carriers in Electronic Nose" Sensors 19, no. 22: 4846. https://doi.org/10.3390/s19224846

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