Research Data

S-MSRRS5000: A Simulated Dataset Highlighting the Challenges of Data Obtained From Multiple Spatially Resolved Reflection Spectroscopy

Description

Optical sensors based on spectroscopy are occasionally used in consumer healthcare and wellness applications. This includes applications such as measuring the concentration of cutaneous carotenoids using sensors based on multiple spatially resolved reflection spectroscopy (MSRRS). Processing the data yielded from MSRRS-based sensors poses unique challenges. When using machine learning for data processing, specialized models such as continuous feature networks are required to achieve good results. However, due to privacy issues of medical data, data availability is low, hindering model development. S-MSRRS5000 is a simulated dataset, highlighting the challenges of data from MSRRS-based sensors. These challenges are presented as four different challenge sets with increasing prediction difficulty, with 5000 simulated measurements per challenge set.

Metadata

Authors
Contributors
Further Persons:
Dates
Available since: 2024-04-29
Relations
Supplement to: (DOI) https://doi.org/10.17170/kobra-2024042910096Supplement to: URL:https://www.thinkmind.org/index.php?view=article&articleid=intsys_v16_n34_2023_3
DOI
https://doi.org/10.48662/daks-40
Faculty
FB16:Elektrotechnik/Informatik
Language
eng
Data types
DatasetText
Keywords
reflection spectroscopymsrrscutaneous carotenoids
DFG-subjects
407-06 Biomedizinische Systemtechnik409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung
DDC-Numbers
004621.3
Funding
Funding Organisations:
Project Information:Distr@l
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
URI
https://daks.uni-kassel.de/handle/123456789/72
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S-MSRRS5000.pdf
219.22 KB
1_clean.tar
32.26 MB
2_noise.tar
32.26 MB
3_wavelength_shift.tar
37.14 MB
4_realistic_sensor.tar
35.95 MB
Magnussen, Birk Martin; Jessulat, Maik; Stern, Claudius; Sick, Bernhard. (2024). S-MSRRS5000: A Simulated Dataset Highlighting the Challenges of Data Obtained From Multiple Spatially Resolved Reflection Spectroscopy. DaKS. https://doi.org/10.48662/daks-40

License

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0
Except where otherwised noted, this item's license is described as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0