Benchmarking of Four Near Infrared Spectroscopy Devices for Long Time Use in Neonates

2018 ◽  
Vol 230 (05) ◽  
pp. 240-244 ◽  
Author(s):  
Anna Schneider ◽  
Edda Hofstätter ◽  
Johannes Brandner ◽  
Angelika Moder ◽  
Silke Häusler ◽  
...  

Abstract Background Using near-infrared spectroscopy (NIRS) mixed tissue saturation can be calculated by measuring the oxygen saturation of oxygenated and deoxygenated erythrocytes in the tissue. Quality of the calculated value is not only dependent on the exposure of the measured values in the calculation, but also on external factors such as artifacts. Main object of this study was to determine whether and how the measurement quality of different devices varies in their long-term use in premature infants. Patients and Methods In 54 measurements, each lasting 2 hours, 4 NIRS devices were attached in pairs on the forehead of 9 cardio-respiratory stable, spontaneous breathing premature infants. Pooled meta-analysis was used to compare the correlation between regional tissue saturation to the pulse oximetry saturation per device. Results The pooled random effect of all Pearson’s correlation coefficients was 0.490 (CI95: 0.403-0.568) with the NIRO 200, 0.575 (CI95: 0.463-0.668) with the INVOS 5100c, 0.712 (CI95: 0.640-0.772) with the Fore-Sight and 0.638 (CI95: 0.554-0.709) with the SenSmart X- 100. Conclusion In this trial, a significant correlation between the tissue saturation and pulsoxymetry saturation was observed. The tremendous variation range among the measurements showed, however, that the measurement quality can be severely affected by unrecognized artifacts, after excluding other possible causes. None of the devices had reliable artifact detection for long-term measurements in very small premature infants. Key words: Near-Infrared-Spectroscopy, premature infants, Benchmark Test, Long-term measurements

2019 ◽  
Author(s):  
Sharda S. Anroedh ◽  
Rohit M. Oemrawsingh ◽  
Robert-Jan van Geuns ◽  
Jin M. Cheng ◽  
Hector M. Garcia-Garcia ◽  
...  

Recycling ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Kirsti Cura ◽  
Niko Rintala ◽  
Taina Kamppuri ◽  
Eetta Saarimäki ◽  
Pirjo Heikkilä

In order to add value to recycled textile material and to guarantee that the input material for recycling processes is of adequate quality, it is essential to be able to accurately recognise and sort items according to their material content. Therefore, there is a need for an economically viable and effective way to recognise and sort textile materials. Automated recognition and sorting lines provide a method for ensuring better quality of the fractions being recycled and thus enhance the availability of such fractions for recycling. The aim of this study was to deepen the understanding of NIR spectroscopy technology in the recognition of textile materials by studying the effects of structural fabric properties on the recognition. The identified properties of fabrics that led non-matching recognition were coating and finishing that lead different recognition of the material depending on the side facing the NIR analyser. In addition, very thin fabrics allowed NIRS to penetrate through the fabric and resulted in the non-matching recognition. Additionally, ageing was found to cause such chemical changes, especially in the spectra of cotton, that hampered the recognition.


2019 ◽  
pp. 289-294
Author(s):  
S.H.E.J. Gabriels ◽  
B. Brouwer ◽  
H. de Villiers ◽  
E. Westra ◽  
E.J. Woltering

2018 ◽  
Vol 33 (2) ◽  
pp. 283-288
Author(s):  
Xi Yang ◽  
Xiaoping Lei ◽  
Lianyu Zhang ◽  
Lingping Zhang ◽  
Wenbin Dong

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