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The need for external validation in machine olfaction: emphasis on health-related applications
Authors:Santiago Marco
Affiliation:1. Signal and Information Processing for Sensing Systems, Department of Biomedical Signals and Instrumentation, Institute for Bioengineering of Catalonia, 08028, Barcelona, Spain
2. Intelligent Signal Processing, Department of Electronics, Faculty of Physics, Universitat de Barcelona, 08028, Barcelona, Spain
Abstract:Over the last two decades, electronic nose research has produced thousands of research works. Many of them were describing the ability of the e-nose technology to solve diverse applications in domains ranging from food technology to safety, security, or health. It is, in fact, in the biomedical field where e-nose technology is finding a research niche in the last years. Although few success stories exist, most described applications never found the road to industrial or clinical exploitation. Most described methodologies were not reliable and were plagued by numerous problems that prevented practical application beyond the lab. This work emphasizes the need of external validation in machine olfaction. I describe some statistical and methodological pitfalls of the e-nose practice and I give some best practice recommendations for researchers in the field.
Figure
State-of-the-art electronic noses feature digitally embedded multivariate predictive system: either pattern recognition systems or quantitative predictors
Keywords:
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