The study presents a recursive least-squares estimation method with an exponential forgetting factor for noise removal in functional near-infrared spectroscopy data and extraction of hemodynamic responses (HRs) from the measured data. HR is modeled as linear regression form which expected HR, first second derivatives short-separation measurement data, three physiological noises, baseline drift are included components vector. proposed applied to left-motor-cortex experiments on right thumb...

Early diagnosis of Alzheimer's disease (AD) is essential in preventing its progression to dementia. Mild cognitive impairment (MCI) can be indicative early-stage AD. In this study, we propose a channel-wise feature extraction method functional near-infrared spectroscopy (fNIRS) data diagnose MCI when performing tasks, including two-back, Stroop, and semantic verbal fluency tasks (SVFT).A new proposed as follows: A region-of-interest (ROI) channel defined such having statistical difference (p...

Activated channels of functional near-infrared spectroscopy are typically identified using the desired hemodynamic response function (dHRF) generated by a trial period. However, this approach is not possible for an unknown In paper, innovative method dHRF proposed, which extracts fluctuating signals during resting state maximal overlap discrete wavelet transform, identifies low-frequency wavelets corresponding to physiological noise, trains them long-short term memory networks, and...

This study aims to decode the hemodynamic responses (HRs) evoked by multiple sound-categories using functional near-infrared spectroscopy (fNIRS). The six different sounds were given as stimuli (English, non-English, annoying, nature, music, and gunshot). oxy-hemoglobin (HbO) concentration changes are measured in both hemispheres of auditory cortex while 18 healthy subjects listen 10-s blocks sound-categories. Long short-term memory (LSTM) networks used a classifier. classification accuracy...

Diagnosis of dementia in early stage is important to prevent progression the aging society. Mild cognitive impairment (MCI) denotes an Alzheimer disease (AD). In this paper, we aim classify MCI patients from healthy controls (HC) during working memory tasks using functional near-infrared spectroscopy (fNIRS). To achieve objective, t-values and correlation coefficients are calculated find region interest (ROI) channels brain connectivity. From ROI averaged over subjects, features (mean slope)...

Functional near-infrared spectroscopy (fNIRS) technology has been widely used to analyze biomechanics and diagnose brain activity. Despite being a promising tool for assessing the cortex status, this system is susceptible disturbances noise from electrical instrumentation basal metabolism. In study, an alternative filtering method, maximum likelihood generalized extended stochastic gradient (ML-GESG) estimation, proposed overcome limitations of these disturbance factors. The algorithm was...

Abstract The visual space is sampled by cortical field maps in which nearby neuronal populations encode locations of images received from the retina. Whether retinotopic organization already emerges neonatal or even prenatal human brain currently unknown. To answer this question vivo, we applied population connective modeling to 471 resting-state functional magnetic resonance imaging datasets ranging young adult age. We found topographically organized eccentricity and polar angle...

Diagnosis of Alzheimer's disease (AD) in early stage is important to prevent progression dementia the aging society. Mild cognitive impairment (MCI) denotes an AD. In this paper, we aim diagnose MCI patients during semantic verbal fluency tasks (SVFT) using functional near-infrared spectroscopy (fNIRS). To achieve our objective, t-values and correlations were calculated find region interest (ROI) channels brain connectivities. From ROI HbO data averaged over subjects, features (mean, slope,...

Sound category recognition is essential for auditory perception in the temporal cortex. This paper aims to classify six different sound categories based on functional near-infrared spectroscopy (fNIRS). Recursive least square estimation was applied remove physiological noises, and various features were extracted from oxy-hemoglobin (HbO) activation curve time domain. Extracted selected by statistical method maximize differences between categories. Furthermore, classification methods (linear...

This paper develops a control scheme for system consisting of flexible beam attached to translating hub using multi-mode input shaping control. There are many types shapers with different advantages and disadvantages. Each type shows the best performance in specific situation. In order determine optimal shaper each situation, decision support based on fuzzy logic is implemented. uses information modeling errors (i.e., natural frequency) settling time requirements find appropriate shaper....

Recently researchers have started working in the field of sensory decoding for amputees. They used either visual feedback or response from subject as their feedback. Many researchers, however, believe that can become more precise if neuronal changes occur process stimulations be isolated and measured. In this study, we lab-developed multichannel functional near-infrared spectroscopy (fNIRS) to discriminate between hemodynamic responses (HRs) two different touch (handshake ball grasp) applied...