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Spectroscopy, Near-Infrared

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Classification of fNIRS data with LDA and SVM: a proof-of-concept for application in infant studies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This study presents the implementation of a within-subject classification method, based on the use of Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM), for the classification of hemodynamic responses. Using a synthetic dataset tha...

Deep learning for in vivo near-infrared imaging.

Proceedings of the National Academy of Sciences of the United States of America
Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a novel in vivo imaging modality with high spatial and temporal resolution through millimeter tissue depths. Imaging in the NIR-IIb window (1,500-1,700 ...

Domain adaptation for robust workload level alignment between sessions and subjects using fNIRS.

Journal of biomedical optics
SIGNIFICANCE: We demonstrated the potential of using domain adaptation on functional near-infrared spectroscopy (fNIRS) data to classify different levels of n-back tasks that involve working memory.

ABroAD: A Machine Learning Based Approach to Detect Broadband NIRS Artefacts.

Advances in experimental medicine and biology
Artefacts are a common and unwanted aspect of any measurement process, especially in a clinical environment, with multiple causes such as environmental changes or motion. In near-infrared spectroscopy (NIRS), there are several existing methods that c...

Discrimination of Complex Activation Patterns in Near Infrared Optical Tomography with Artificial Neural Networks.

Advances in experimental medicine and biology
Near-infrared optical tomography (NIROT) has great promise for many clinical problems. Here we focus on the study of brain function. During NIROT image reconstruction of brain activity, an inverse problem has to be solved that is sensitive to small s...

In vivo noninvasive blood glucose detection using near-infrared spectrum based on the PSO-2ANN model.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: To improving the nursing level of diabetics, it is necessary to develop noninvasive blood glucose method.

A multichannel-near-infrared-spectroscopy-triggered robotic hand rehabilitation system for stroke patients.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
There is a demand for a new neurorehabilitation modality with a brain-computer interface for stroke patients with insufficient or no remaining hand motor function. We previously developed a robotic hand rehabilitation system triggered by multichannel...