A NIRS-Based Technique for Monitoring Brain Tissue Oxygenation in Stroke Patients

Stroke is a global health issue caused by reduced blood flow to the brain, which leads to severe motor disabilities. Measuring oxygen levels in the brain tissue is crucial for understanding the severity and evolution of stroke. While CT or fMRI scans are preferred for confirming a stroke due to their high sensitivity, Near-Infrared Spectroscopy (NIRS)-based systems could be an alternative for monitoring stroke evolution. This study explores the potential of fNIRS signals to assess brain tissue in chronic stroke patients along with rehabilitation therapy. To study the feasibility of this proposal, ten healthy subjects and three stroke patients participated. For signal acquisition, two NIRS sensors were placed on the forehead of the subjects, who were asked to remain in a resting state for 5 min, followed by a 30 s motor task for each hand, which consists of opening and closing the hand at a steady pace, with a 1 min rest period in between. Acomplete protocol for placing sensors and a signal processing algorithm are proposed. In healthy subjects, a measurable change in oxygen saturation was found, with statistically significant differences (females <i>p</i> = 0.016, males <i>p</i> = 0.005) between the resting-state and the hand movement conditions. This work showed the feasibility of the complete proposal, including the NIRS sensor, the placement, the tasks protocol, and signal processing, for monitoring the state of the brain tissue cerebral oxygenation in stroke patients undergoing rehabilitation therapy. Thus this is a non-invasive barin assessment test based on fNIRS with the potential to be implemented in non-controlled clinical environments.

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Publication Details

Journal
Sensors
Published
2024-12-21
DOI
https://doi.org/10.3390/s24248175
Citations
3
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
1.21
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article

A NIRS-Based Technique for Monitoring Brain Tissue Oxygenation in Stroke Patients

Jimena Quinzaños-Fresnedo, Jorge A. Mercado-Gutiérrez, G. Vega-Martínez, Cinthya Lourdes Toledo-Peral et al.
3 citations
Sensors
Optical Imaging and Spectroscopy Techniques
1.21
article

A NIRS-Based Technique for Monitoring Brain Tissue Oxygenation in Stroke Patients

Jimena Quinzaños-Fresnedo, Jorge A. Mercado-Gutiérrez, G. Vega-Martínez, Cinthya Lourdes Toledo-Peral, Josefina Gutiérrez-Martínez
article en
3 citations

Abstract

Stroke is a global health issue caused by reduced blood flow to the brain, which leads to severe motor disabilities. Measuring oxygen levels in the brain tissue is crucial for understanding the severity and evolution of stroke. While CT or fMRI scans are preferred for confirming a stroke due to their high sensitivity, Near-Infrared Spectroscopy (NIRS)-based systems could be an alternative for monitoring stroke evolution. This study explores the potential of fNIRS signals to assess brain tissue in chronic stroke patients along with rehabilitation therapy. To study the feasibility of this proposal, ten healthy subjects and three stroke patients participated. For signal acquisition, two NIRS sensors were placed on the forehead of the subjects, who were asked to remain in a resting state for 5 min, followed by a 30 s motor task for each hand, which consists of opening and closing the hand at a steady pace, with a 1 min rest period in between. Acomplete protocol for placing sensors and a signal processing algorithm are proposed. In healthy subjects, a measurable change in oxygen saturation was found, with statistically significant differences (females <i>p</i> = 0.016, males <i>p</i> = 0.005) between the resting-state and the hand movement conditions. This work showed the feasibility of the complete proposal, including the NIRS sensor, the placement, the tasks protocol, and signal processing, for monitoring the state of the brain tissue cerebral oxygenation in stroke patients undergoing rehabilitation therapy. Thus this is a non-invasive barin assessment test based on fNIRS with the potential to be implemented in non-controlled clinical environments.

SensorsVol. 24(24)
Instituto Nacional de Rehabilitación (MX)
Good health and well-being
Openalex Percentile: Top 19%
Optical Imaging and Spectroscopy Techniques
1.21
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