Functional Near-Infrared Sensing (fNIR) and Environmental Control Applications

The sick preterm infant monitoring is an intriguing job that medical staff in Neonatal Intensive Care Units (NICU) must deal with on a daily basis. As a standards monitoring procedure, preterm infants are monitored via sensors and electrodes that are firmly attached to their fragile and delicate skin and connected to processing monitors. However, an alternative exists in contactless imaging to record such physiological signals (we call it as Physio-Markers), detecting superficial changes and internal structures activities which can be used independently of, or aligned with, conventional monitors. Countless advantages can be gained from unobtrusive monitoring not limited to: (1) quick data generation; (2) decreasing physical and direct contact with skin, which reduces skin breakdown and minimizes risk of infection; and (3) reduction of electrodes and probes connected to clinical monitors and attached to the skin, which allows greater body surface-area for better care. This review is an attempt to build a solid ground for and to provide a clear perspective of the potential clinical applications of technologies inside NICUs that use contactless imaging modalities such as Visible Light Imaging (VLI), Near Infrared Spectroscopy (NIRS), and Infrared Thermography (IRT).

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Section: Contactless Neonatal Imaging Technologiesmentioning

confidence: 99%

Review of Biomedical Applications of Contactless Imaging of Neonates Using Infrared Thermography and Beyond

AlZubaidi

Ethawi

Schmölzer

et al. 2018

MPs

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“…Furthermore, the anisotropic structure will attenuate the light in a manner like absorption. Thus, it is difficult to differentiate the effect of absorption from the effect of scattering [14,38]. NIR imaging start with a pioneering modality known as optical topography, which uses a pair of single source-width = 0.9 (SSD) attached to the scalp's surface to assess the function of a large surface area (SA) of the brain.…”

Section: Infrared Thermographic Imagingmentioning

confidence: 99%

Review of Biomedical Applications of Contactless Imaging of Neonates using Infrared Thermography and Beyond

AlZubaidi¹,

Ethawi²,

Schmoelzer³

et al. 2018

Preprint

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The monitoring of sick newborns is a challenging task that health care providers in Neonatal Intensive Care Units (NICU) must contend with each day. Conventionally, newborns are monitored via probes that are affixed to their skin and attached to processing monitors (Fig.1). However, an alternative exists in contactless imaging to record such physiological signals (Physio-Markers), surface changes and internal structures which can be used independently of, or in conjunction with conventional monitors. Advantages of contactless monitoring methods include: i) quick data generation; ii) lack of contact with skin, which reduces skin breakdown and decreases risk of infection; and iii) minimizing the number of probes and monitors affixed to the skin, which allows greater body surface-area for other care. This paper is an attempt to build a foundation for and to provide a vision of the potential neonatal clinical applications of technologies that use non-contact modalities such as Visible Light Imaging (VLI), Near InfraRed Spectrum (NIRS), and Thermal Imaging (TI) using InfraRed Spectrum (IRS).

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“…However, the problem of unified integration, despite being generally recognized, is still not considered wide enough [5,6]. Nishimura et al proposed a system called BIRT based on XML configuration that allows easy adjusting and modifying experiments' pipeline [7]. Quitadamo et al described a custom BCI communication protocol using UML notation [8].…”

Section: Related Workmentioning

confidence: 99%

How to Improve Utilizing Neural Interface by Means of Ontology-Driven Scientific Visualization Tools

Чуприна¹,

Labutin²

2022

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The technological progress in the field of Brain-Computer Interface and its integration with IoT have now put on the agenda the question of the fast transition of the technology from laboratory experiments into everyday life. The paper presents an approach to improve utilizing neural interface with the help of ontology-driven scientific visualization tools taking into account the urgent problems of automatic adaptation to the specifics of different IoT infrastructure, models and datasets. Some issues of replicability and reproducibility of experiments are also under discussion in this paper. Using the principles of "clean-room reverse engineering" methodology to rewrite existing EEG device drivers we make it possible to embed visualization tools which dynamically render the streaming data coming from different EEG devices within a diverse IoT infrastructure without any legal complications.

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Functional Near-Infrared Sensing (fNIR) and Environmental Control Applications

Cited by 8 publications

References 8 publications

Review of Biomedical Applications of Contactless Imaging of Neonates Using Infrared Thermography and Beyond

Review of Biomedical Applications of Contactless Imaging of Neonates Using Infrared Thermography and Beyond

Review of Biomedical Applications of Contactless Imaging of Neonates using Infrared Thermography and Beyond

How to Improve Utilizing Neural Interface by Means of Ontology-Driven Scientific Visualization Tools

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