A Newcomer's Guide to Functional Near Infrared Spectroscopy Experiments

Almajidy, Rand K.; Mankodiya, Kunal; Abtahi, Mohammadreza; Hofmann, Ulrich G.

doi:10.1109/rbme.2019.2944351

Cited by 52 publications

(40 citation statements)

References 224 publications

(214 reference statements)

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“…This neurovascular coupling means that when neuron activity arouses, CBF around the area increases to supply more oxygen for neuron activity. fNIRS measures the concentration change of oxygenated hemoglobin ([HbOxy]) and that of deoxygenated hemoglobin ([HbDeoxy]) [94,95]. Together with the derived parameters, HbT (the combination of the previous two parameters) and rSO (regional cerebral tissue oxygenation), these values are used to evaluate the hemodynamic states of stroke patients.…”

Section: Fnirs Devices For Hemodynamic Signals Monitoringmentioning

confidence: 99%

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Chen

2021

Sensors

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We review in this paper the wearable-based technologies intended for real-time monitoring of stroke-related physiological parameters. These measurements are undertaken to prevent death and disability due to stroke. We compare the various characteristics, such as weight, accessibility, frequency of use, data continuity, and response time of these wearables. It was found that the most user-friendly wearables can have limitations in reporting high-precision prediction outcomes. Therefore, we report also the trend of integrating these wearables into the internet of things (IoT) and combining electronic health records (EHRs) and machine learning (ML) algorithms to establish a stroke risk prediction system. Due to different characteristics, such as accessibility, time, and spatial resolution of various wearable-based technologies, strategies of applying different types of wearables to maximize the efficacy of stroke risk prediction are also reported. In addition, based on the various applications of multimodal electroencephalography–functional near-infrared spectroscopy (EEG–fNIRS) on stroke patients, the perspective of using this technique to improve the prediction performance is elaborated. Expected prediction has to be dynamically delivered with high-precision outcomes. There is a need for stroke risk stratification and management to reduce the resulting social and economic burden.

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Section: Fnirs Devices For Hemodynamic Signals Monitoringmentioning

confidence: 99%

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Chen

2021

Sensors

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“…The obtained information about scattering and absorption enables the calculation of absolute concentrations changes in chromophores (e.g., oxyHb and deoxyHb) [98,171,174,180,181,186,187].…”

Section: Neurophysiological Mechanisms and Physical Principles Of Fnirsmentioning

confidence: 99%

“…A detector (e.g., placed on the head’s surface) measures the phase shift (delay) and light attenuation of the measured and non-absorbed light components, which, in turn, are used to determine the absorption and scattering properties of the specific tissue (e.g., brain tissue). Using the individual-specific information about the scattering and absorption properties of the distinct tissue allows the quantification of absolute concentration changes in the chromophores (e.g., oxyHb and deoxyHb) [ 98 , 171 , 174 , 180 , 181 , 186 , 187 ]. In TD-NIRS, multiple sources emit extremely short light impulses into the tissue (e.g., brain and scalp tissue) and detectors, placed at a certain distance from the light emitting source, quantify the time of flight, the temporal distribution, and the shape of the temporal distribution of the non-absorbed photons, which leave the examined tissue (e.g., brain and scalp tissue).…”

Section: Neurophysiological Mechanisms and Physical Principles Of mentioning

confidence: 99%

“…In general, photons that travelled through the cerebral tissue are more delayed than photons that are only traveling through the scalp. The obtained information about scattering and absorption enables the calculation of absolute concentrations changes in chromophores (e.g., oxyHb and deoxyHb) [ 98 , 171 , 174 , 180 , 181 , 186 , 187 ].…”

Section: Neurophysiological Mechanisms and Physical Principles Of mentioning

confidence: 99%

“…In addition, in the field of exercise science, NIRS systems with LED sources (e.g., SRS-NIRS) are more suitable because they allow smaller and portable instrumentation and are safer in their application, as compared to NIRS systems with laser sources (e.g., FD-NIRS and TD-NIRS) [ 171 , 189 ]. More detailed information about the differences between CW-NIRS, SRS-NIRS, FD-NIRS, and TD-NIRS can be found in the referenced literature [ 98 , 171 , 174 , 180 , 181 , 183 , 185 , 186 , 190 , 191 , 192 , 193 , 194 , 195 , 196 ].…”

Section: Neurophysiological Mechanisms and Physical Principles Of mentioning

confidence: 99%

See 2 more Smart Citations

New Directions in Exercise Prescription: Is There a Role for Brain-Derived Parameters Obtained by Functional Near-Infrared Spectroscopy?

et al. 2020

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In the literature, it is well established that regular physical exercise is a powerful strategy to promote brain health and to improve cognitive performance. However, exact knowledge about which exercise prescription would be optimal in the setting of exercise–cognition science is lacking. While there is a strong theoretical rationale for using indicators of internal load (e.g., heart rate) in exercise prescription, the most suitable parameters have yet to be determined. In this perspective article, we discuss the role of brain-derived parameters (e.g., brain activity) as valuable indicators of internal load which can be beneficial for individualizing the exercise prescription in exercise–cognition research. Therefore, we focus on the application of functional near-infrared spectroscopy (fNIRS), since this neuroimaging modality provides specific advantages, making it well suited for monitoring cortical hemodynamics as a proxy of brain activity during physical exercise.

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Noninvasive cardiac hemodynamics monitoring of acute myocardial ischemia in rats using near‐infrared spectroscopy: A pilot study

Chen,

Li,

Pan

et al. 2024

Journal of Biophotonics

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Noninvasive and real‐time optical detection of cardiac hemodynamics dysfunction during myocardial ischemia remains challenging. In this study, we developed a near‐infrared spectroscopy device to monitor rats' myocardial hemodynamics. The well‐designed system can accurately reflect the hemodynamics changes by the classic upper limb ischemia test. Systemic hypoxia by disconnecting to the ventilator and cardiac ischemia by coronary artery slipknot ligation was conducted to monitor myocardial hemodynamics. When systemic hypoxia occurred, ΔHbR and ΔtHb increased significantly, whereas ΔHbO decreased rapidly. When coronary blood flow was obstructed by slipknots, cardiothoracic ΔHbO immediately begins to decline, while ΔHbR also significantly increases. Simultaneously, SpO2 did not show any obvious changes during myocardial ischemia, while SpO2 decreased significantly during systemic hypoxia. These results demonstrated that cardiothoracic hemodynamics stemmed from myocardial ischemia. This pilot study demonstrated the practicality of noninvasive, low‐cost optical monitoring for cardiac oxygenation dysfunction in rats.

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A Newcomer's Guide to Functional Near Infrared Spectroscopy Experiments

Cited by 52 publications

References 224 publications

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

New Directions in Exercise Prescription: Is There a Role for Brain-Derived Parameters Obtained by Functional Near-Infrared Spectroscopy?

Noninvasive cardiac hemodynamics monitoring of acute myocardial ischemia in rats using near‐infrared spectroscopy: A pilot study

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