Modulation spectral signal representation for quality measurement and enhancement of wearable device data: A technical note
Wearable devices are burgeoning, and applications across numerous verticals are
emerging, including human performance monitoring, at-home patient monitoring, and health …
emerging, including human performance monitoring, at-home patient monitoring, and health …
Alzheimer's disease diagnosis and severity level detection based on electroencephalography modulation spectral “patch” features
Over the last two decades, electroencephalography (EEG) has emerged as a reliable tool for
the diagnosis of cortical disorders such as Alzheimer's disease (AD). Typically, resting-state …
the diagnosis of cortical disorders such as Alzheimer's disease (AD). Typically, resting-state …
Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification
Electroencephalogram (EEG) based brain-computer interfaces (BCI) monitor neural activity
and translate these signals into actions and/or decisions, with the final goal of enabling …
and translate these signals into actions and/or decisions, with the final goal of enabling …
Automated Multi-Wavelength Quality Assessment of Photoplethysmography Signals Using Modulation Spectrum Shape Features
Photoplethysmography (PPG) is used to measure blood volume changes in the
microvascular bed of tissue. Information about these changes along time can be used for …
microvascular bed of tissue. Information about these changes along time can be used for …
A holo-spectral EEG analysis provides an early detection of cognitive decline and predicts the progression to Alzheimer's disease
Aims Our aim was to differentiate patients with mild cognitive impairment (MCI) and
Alzheimer's disease (AD) from cognitively normal (CN) individuals and predict the …
Alzheimer's disease (AD) from cognitively normal (CN) individuals and predict the …
Heart rate variability assessment using time–frequency analysis in hypotensive and non-hypotensive patients in hemodialysis
B Becerra-Luna, R Cartas-Rosado… - Applied Sciences, 2020 - mdpi.com
Featured Application In this work, a spectrotemporal evaluation of heart rate variability
during hemodialysis shows differences between hypotensive and non-hypotensive patients …
during hemodialysis shows differences between hypotensive and non-hypotensive patients …
EEG Amplitude Modulation Analysis across Mental Tasks: Towards Improved Active BCIs
O Rosanne, A Alves de Oliveira, TH Falk - Sensors, 2023 - mdpi.com
Brain–computer interface (BCI) technology has emerged as an influential communication
tool with extensive applications across numerous fields, including entertainment, marketing …
tool with extensive applications across numerous fields, including entertainment, marketing …
Multimodal resting-state connectivity predicts affective neurofeedback performance
Neurofeedback has been suggested as a potential complementary therapy to different
psychiatric disorders. Of interest for this approach is the prediction of individual performance …
psychiatric disorders. Of interest for this approach is the prediction of individual performance …
Respiration rate estimation from noisy electrocardiograms based on modulation spectral analysis
This paper presents a novel method to estimate the respiration rate (RR) from a noisy
electrocardiogram (ECG) signal. The method exploits the second order periodicity of the …
electrocardiogram (ECG) signal. The method exploits the second order periodicity of the …
Automated alzheimer's disease diagnosis using a low-density EEG layout and new features based on the power of modulation spectral “patches”
Over the last decade, biomarkers to detect Alzheimer's disease (AD) have been proposed
based on electroencephalography (EEG), in particular resting-state EEG (rsEEG). Typically …
based on electroencephalography (EEG), in particular resting-state EEG (rsEEG). Typically …