ProSens—An Efficient Mathematical Procedure for Calibration and Evaluation of Tin Oxide Gas Sensor Data

Seifert, R.; Keller, Hubert B.; Frank, Kevin; Kohler, Heinz

doi:10.1166/sl.2011.1408

Cited by 14 publications

(4 citation statements)

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“…Evaluation Procedure ProSens 3.0 For substance identification and data analysis, an innovative measurement procedure for calibration and evaluation called ProSens3.0 is embedded in the sensor system. ProSens3.0 is an enhancement of ProSens [8] and especially developed for investigating ternary gas mixtures.…”

Section: Thermo-cyclic Operationmentioning

confidence: 99%

P5.8 - AGaMon - A Mobile Sensor System for Breath Control

Seifert¹,

Keller²,

Conrad³

et al. 2017

Proceedings Sensor 2017

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Section: Thermo-cyclic Operationmentioning

confidence: 99%

P5.8 - AGaMon - A Mobile Sensor System for Breath Control

Seifert¹,

Keller²,

Conrad³

et al. 2017

Proceedings Sensor 2017

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“…Therefore and for batch-wise calibration of multi gas applications ProCal is extended. The data analysis is performed with the computer program ProSens [6].…”

Section: Mathematical Calibration Modelsmentioning

confidence: 99%

P1.9.10 Batch-wise Calibration of Multi-Gas-Sensors and Calibration Models for Mono Gas and Multi Gas Applications

Keller¹,

Seifert

2012

Proceedings IMCS 2012

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“…However, well-introduced evaluation procedures for data analysis like ProSens [7], ProSens 3.0, which is an extension of ProSens for the analysis of ternary gas mixtures, principal component analysis [8] or frequency-based signature gas identification [9] are only designed to analyze one mono-component gas or one gas mixture of well-defined components and not for varying target gases.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Analysis of Sensor Data for Breath Control in Respiratory Air

et al. 2018

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There is a broad field of applications of breath monitoring in human health care, medical applications and alcohol control. In this report, an innovative mobile sensor system for breath control in respiratory air called AGaMon will be introduced. The sensor system is able to recognize a multitude of different gases like ethanol (which is the leading component of alcoholic drinks), H 2 S (which is the leading component for halitosis), H 2 (which is the leading component for dyspepsia and food intolerance), NO (which is the leading component for asthma) or acetone (which is the leading component for diabetes), thus ,covering almost all significant aspects. An innovative calibration and evaluation procedure called SimPlus was developed which is able to evaluate the sensor data simultaneously. That means, SimPlus is able to identify the samples simultaneously; for example, whether the measured sample is ethanol or another substance under consideration. Furthermore, SimPlus is able to determine the concentration of the identified sample. This will be demonstrated in this report for the application of ethanol, H 2 , acetone and the binary mixture ethanol-H 2. It has been shown that SimPlus could identify the investigated gases and volatile organic compounds (VOCs) very well and that the relative analysis errors were smaller than 10% in all considered applications.

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ProSens—An Efficient Mathematical Procedure for Calibration and Evaluation of Tin Oxide Gas Sensor Data

Cited by 14 publications

References 0 publications

P5.8 - AGaMon - A Mobile Sensor System for Breath Control

P5.8 - AGaMon - A Mobile Sensor System for Breath Control

P1.9.10 Batch-wise Calibration of Multi-Gas-Sensors and Calibration Models for Mono Gas and Multi Gas Applications

Simultaneous Analysis of Sensor Data for Breath Control in Respiratory Air

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