Measurement of Cerebral Circulation in Human

Moradi, Sadegh; Ferdinando, Hany; Zienkiewicz, Aleksandra; Särestöniemi, Mariella; Myllylä, Teemu

doi:10.5772/intechopen.102383

Cited by 5 publications

(13 citation statements)

References 97 publications

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“…The microwave technique is based on detecting differences in radio channel responses caused by abnormalities having different dielectric properties than the surrounding tissues [14]. Microwave technique has been proposed for several different brain monitoring applications such as stroke detection [15,16], brain temperature monitoring [17,18], and cerebral circulation monitoring [19][20][21]. Additionally, its suitability for detection of brain tumors has been studied in [23][24][25][26][27].…”

Section: Microwave-based Brain Tumor Monitoringmentioning

confidence: 99%

Digital Twins for Development of Microwave-Based Brain Tumor Detection

Särestöniemi,

Singh,

Heredia

et al. 2024

Communications in Computer and Information Science

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Digital twins for different healthcare applications are currently being studied actively since they could revolutionize research on customized and personalized healthcare and enable realistic evaluations of new medical devices and applications in early phase. This paper presents a study on the development of digital twins aiming to be utilized for the development of microwave technique-based brain tumor detection. Realistic anatomical models of the digital twins were designed based on magnetic resonance images (MRI) scanned from the brain with brain tumor. These twins aim to correspond to the human brain and brain tumor in terms of size, shape, and tissue dielectric properties. Furthermore, developed digital twins include both phantom models for measurement emulation as well as corresponding simulation models designed using electromagnetic simulation software. By using the developed digital twins, our aim is to evaluate microwave-based sensing technique for brain tumor detection. Evaluations were carried out using flexible ultrawideband (UWB) antennas which would be beneficial for practical solutions. Our simulation and emulation results show that microwave technique with flexible antennas has high potential for brain tumor detection.

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Section: Microwave-based Brain Tumor Monitoringmentioning

confidence: 99%

Digital Twins for Development of Microwave-Based Brain Tumor Detection

Särestöniemi,

Singh,

Heredia

et al. 2024

Communications in Computer and Information Science

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“…Magnetic resonance imaging (MRI), computed tomography (CT), and magnetoencephalography (MEG) are the most common techniques to characterize the abnormalities in the brain (Figure 5) [17]. Though MRI and CT offer brain images with a high spatial resolution within the millimeter range, the temporal resolution is low, impeding their application in real-time monitoring.…”

Section: Comparison Of Fnirs and Other Neuroimaging Techniquesmentioning

confidence: 99%

Monitoring Brain Activities Using fNIRS to Avoid Stroke

Chen¹

2023

Infrared Spectroscopy - Perspectives and Applications

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Functional near-infrared spectroscopy (fNIRS) is an emerging wearable neuroimaging technique based on monitoring the hemodynamics of brain activity. First, the operation principle of fNIRS is described. This includes introducing the absorption spectra of the targeted molecule: the oxygenated and deoxygenated hemoglobin. Then, the optical path formed by emitters and detectors and the concentration of the molecules is determined using Beer-Lambert law. In the second part, the advantages of applying fNIRS are compared with other neuroimaging techniques, such as computed tomography and magnetic resonance imaging. The compared parameters include time and spatial resolution, immobility, etc. Next, the evolution of the fNIRS devices is shown. It includes the commercially available systems and the others under construction in academia. In the last section, the applications of fNIRS to avoid stroke are presented. The challenges of achieving good signal quality and high user comfort monitoring on stroke patients are discussed. Due to the wearable, user-friendly, and accessibility characteristics of fNIRS, it has the potential to be a complementary technique for real-time bedside monitoring of stroke patients. A stroke risk prediction system can be implemented to avoid stroke by combining the recorded fNIRS signals, routinely monitored physiological parameters, electronic health records, and machine learning models.

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“…Also, they can perform quasi-real-time operations. Due to these reasons, these systems are currently being proposed for different diagnosis and monitoring applications in the biomedical context [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging System Based on Signal Analysis in a Planar Environment for Detection of Abdominal Aortic Aneurysms

Martínez-Lozano,

Gutierrez,

Juan

et al. 2024

Biosensors

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A proof-of-concept of a microwave imaging system for the fast detection of abdominal aortic aneurysms is shown. This experimental technology seeks to overcome the factors hampering the fast screening for these aneurysms with the usual equipment, such as high cost, long-time operation or hazardous exposure to chemical substances. The hardware system is composed of 16 twin antennas mastered by a microcontroller through a switching network, which connects the antennas to the measurement instrument for sequential measurement. The software system is run by a computer, mastering the whole system, automatizing the measurement process and running the signal processing and medical image generation algorithms. Two image generation algorithms are tested: Delay-and-Sum (DAS) and Improved Delay-and-Sum (IDAS). Own-modified versions of these algorithms adapted to the requirements of our system are proposed. The system is carefully calibrated and fine-tuned with known objects placed at known distances. An experimental proof-of-concept is shown with a human torso phantom, including an aorta phantom and an aneurysm phantom placed in different positions. The results show good imaging capabilities with the potential for detecting and locating possible abdominal aortic aneurysms and reporting acceptable errors.

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Measurement of Cerebral Circulation in Human

Cited by 5 publications

References 97 publications

Digital Twins for Development of Microwave-Based Brain Tumor Detection

Digital Twins for Development of Microwave-Based Brain Tumor Detection

Monitoring Brain Activities Using fNIRS to Avoid Stroke

Microwave Imaging System Based on Signal Analysis in a Planar Environment for Detection of Abdominal Aortic Aneurysms

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