Literature DB >> 24817347

The need for external validation in machine olfaction: emphasis on health-related applications.

Santiago Marco1.   

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.

Mesh:

Year:  2014        PMID: 24817347     DOI: 10.1007/s00216-014-7807-7

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  9 in total

1.  In vitro detection of common rhinosinusitis bacteria by the eNose utilising differential mobility spectrometry.

Authors:  Jussi Virtanen; Lauri Hokkinen; Markus Karjalainen; Anton Kontunen; Risto Vuento; Jura Numminen; Markus Rautiainen; Niku Oksala; Antti Roine; Ilkka Kivekäs
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-07-24       Impact factor: 2.503

Review 2.  Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview.

Authors:  Jorge Pereira; Priscilla Porto-Figueira; Carina Cavaco; Khushman Taunk; Srikanth Rapole; Rahul Dhakne; Hampapathalu Nagarajaram; José S Câmara
Journal:  Metabolites       Date:  2015-01-09

Review 3.  Application and Uses of Electronic Noses for Clinical Diagnosis on Urine Samples: A Review.

Authors:  Laura Capelli; Gianluigi Taverna; Alessia Bellini; Lidia Eusebio; Niccolò Buffi; Massimo Lazzeri; Giorgio Guazzoni; Giorgio Bozzini; Mauro Seveso; Alberto Mandressi; Lorenzo Tidu; Fabio Grizzi; Paolo Sardella; Giuseppe Latorre; Rodolfo Hurle; Giovanni Lughezzani; Paolo Casale; Sara Meregali; Selena Sironi
Journal:  Sensors (Basel)       Date:  2016-10-14       Impact factor: 3.576

4.  Conformal Prediction Based on K-Nearest Neighbors for Discrimination of Ginsengs by a Home-Made Electronic Nose.

Authors:  Zhan Wang; Xiyang Sun; Jiacheng Miao; You Wang; Zhiyuan Luo; Guang Li
Journal:  Sensors (Basel)       Date:  2017-08-14       Impact factor: 3.576

5.  Development of breath test for pneumoconiosis: a case-control study.

Authors:  Hsiao-Yu Yang; Ruei-Hao Shie; Che-Jui Chang; Pau-Chung Chen
Journal:  Respir Res       Date:  2017-10-17

6.  A Study of Diagnostic Accuracy Using a Chemical Sensor Array and a Machine Learning Technique to Detect Lung Cancer.

Authors:  Chi-Hsiang Huang; Chian Zeng; Yi-Chia Wang; Hsin-Yi Peng; Chia-Sheng Lin; Che-Jui Chang; Hsiao-Yu Yang
Journal:  Sensors (Basel)       Date:  2018-08-28       Impact factor: 3.576

7.  Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.

Authors:  Chung-Yu Chen; Wei-Chi Lin; Hsiao-Yu Yang
Journal:  Respir Res       Date:  2020-02-07

8.  Electronic Nose Testing Procedure for the Definition of Minimum Performance Requirements for Environmental Odor Monitoring.

Authors:  Lidia Eusebio; Laura Capelli; Selena Sironi
Journal:  Sensors (Basel)       Date:  2016-09-21       Impact factor: 3.576

9.  Pattern Recognition and Anomaly Detection by Self-Organizing Maps in a Multi Month E-nose Survey at an Industrial Site.

Authors:  Sabina Licen; Alessia Di Gilio; Jolanda Palmisani; Stefania Petraccone; Gianluigi de Gennaro; Pierluigi Barbieri
Journal:  Sensors (Basel)       Date:  2020-03-29       Impact factor: 3.576

  9 in total

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