AIMC Topic: Spectroscopy, Near-Infrared
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Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM.
BMC medical informatics and decision making
Dec 20, 2017
BACKGROUND: Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal peop...
Changing techniques in crop plant classification: molecularization at the National Institute of Agricultural Botany during the 1980s.
Annals of science
Feb 16, 2017
Modern methods of analysing biological materials, including protein and DNA sequencing, are increasingly the objects of historical study. Yet twentieth-century taxonomic techniques have been overlooked in one of their most important contexts: agricul...
Spectrum-based and color-selective electrochemiluminescence immunoassay for determining human prostate specific antigen in near-infrared region.
Talanta
Dec 21, 2016
The conventional electrochemiluminescence (ECL) analyses were performed via detecting the time (or potential) dependent ECL intensity with the proceeding of ECL reaction. Herein, by spectrally recording all the photons generated in ECL process, a spe...
Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms.
Talanta
Dec 21, 2016
The main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer ...
Simultaneous Enrichment and On-line Detection of Low-Concentration Copper, Cobalt, and Nickel Ions in Water by Near-Infrared Diffuse Reflectance Spectroscopy Combined with Chemometrics.
Journal of AOAC International
Nov 30, 2016
Sensitive detection of heavy metal ions in water is of great importance considering the effects that heavy metals have on public health. A developed fluidized bed enrichment technique was used to concentrate and detect low concentrations of Cu2+, Co2...
Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis.
Computational intelligence and neuroscience
Oct 31, 2016
Functional near-infrared spectroscopy (fNIRS) is suitable for noninvasive mapping of relative changes in regional cortical activity but is limited for quantitative comparisons among cortical sites, subjects, and populations. We have developed a convo...
Regional muscle tissue saturation is an indicator of global inadequate circulation during cardiopulmonary bypass: a randomized porcine study using muscle, intestinal and brain tissue metabolomics.
Perfusion
Oct 17, 2016
BACKGROUND: Muscle tissue saturation (StO) measured with near-infrared spectroscopy has generally been considered a measurement of the tissue microcirculatory condition. However, we hypothesized that StO could be more regarded as a fast and reliable ...
A rapid integrated bioactivity evaluation system based on near-infrared spectroscopy for quality control of Flos Chrysanthemi.
Journal of pharmaceutical and biomedical analysis
Sep 5, 2016
For quality control of herbal medicines or functional foods, integral activity evaluation has become more popular in recent studies. The majority of researchers focus on the relationship between chromatography/mass spectroscopy and bioactivity, but t...
A machine learning approach to identify functional biomarkers in human prefrontal cortex for individuals with traumatic brain injury using functional near-infrared spectroscopy.
Brain and behavior
Aug 24, 2016
BACKGROUND: We have explored the potential prefrontal hemodynamic biomarkers to characterize subjects with Traumatic Brain Injury (TBI) by employing the multivariate machine learning approach and introducing a novel task-related hemodynamic response ...
Atypical Asymmetry for Processing Human and Robot Faces in Autism Revealed by fNIRS.
PloS one
Jul 7, 2016
Deficits in the visual processing of faces in autism spectrum disorder (ASD) individuals may be due to atypical brain organization and function. Studies assessing asymmetric brain function in ASD individuals have suggested that facial processing, whi...
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