ArticleSensors (Basel, Switzerland)2017
A Novel Medical E-Nose Signal Analysis System.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Chemical Nose-Based Non-Invasive Detection of Breast Cancer Using Exhaled Breath.Sensors (Basel, Switzerland) · 2025Article
- Application of electronic nose technology in the diagnosis of gastrointestinal diseases: a review.Journal of cancer research and clinical oncology · 2024Review
- E-Nose: Time-Frequency Attention Convolutional Neural Network for Gas Classification and Concentration Prediction.Sensors (Basel, Switzerland) · 2024Article
- DiabeticSense: A Non-Invasive, Multi-Sensor, IoT-Based Pre-Diagnostic System for Diabetes Detection Using Breath.Journal of clinical medicine · 2023Article
- Multivariate Regression in Conjunction with GA-BP for Optimization of Data Processing of Trace NO Gas Flow in Active Pumping Electronic Nose.Sensors (Basel, Switzerland) · 2023Article
- Measurement of Volatile Fatty Acids in Silage through Odors with Nanomechanical Sensors.Biosensors · 2023Article
- Metabolomics and a Breath Sensor Identify Acetone as a Biomarker for Heart Failure.Biomolecules · 2022Article
- Recent Advances in Nanomechanical Membrane-Type Surface Stress Sensors towards Artificial Olfaction.Biosensors · 2022Review
- Real-Time Learning and Monitoring System in Fighting against SARS-CoV-2 in a Private Indoor Environment.Sensors (Basel, Switzerland) · 2022Article
- Review
- Non-Invasive Detection and Staging of Colorectal Cancer Using a Portable Electronic Nose.Sensors (Basel, Switzerland) · 2021Article
- Article
- Selective Detection of Target Volatile Organic Compounds in Contaminated Air Using Sensor Array with Machine Learning: Aging Notes and Mold Smells in Simulated Automobile Interior Contaminant Gases.Sensors (Basel, Switzerland) · 2020Article
- Genetic Algorithm Design of MOF-based Gas Sensor Arrays for COSensors (Basel, Switzerland) · 2020Article
- Early diagnosis and screening in lung cancer.American journal of cancer research · 2020Review
- Effect of vanadium pentoxide concentration in ZnO/VRSC advances · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been proven that certain biomarkers in people's breath have a relationship with diseases and blood glucose levels (BGLs). As a result, it is possible to detect diseases and predict BGLs by analysis of breath samples captured by e-noses. In this paper, a novel optimized medical e-nose system specified for disease diagnosis and BGL prediction is proposed. A large-scale breath dataset has been collected using the proposed system. Experiments have been organized on the collected dataset and the experimental results have shown that the proposed system can well solve the problems of existing systems. The methods have effectively improved the classification accuracy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.