A5012150223- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- EEG and Brain-Computer Interfaces
- Medical Imaging Techniques and Applications
- ECG Monitoring and Analysis
- Optical Imaging and Spectroscopy Techniques
- Cardiac electrophysiology and arrhythmias
- Cardiovascular and exercise physiology
- Radiomics and Machine Learning in Medical Imaging
- Cardiovascular Health and Disease Prevention
- Hemodynamic Monitoring and Therapy
- Neural dynamics and brain function
- Neurological disorders and treatments
- Advanced X-ray and CT Imaging
- Sepsis Diagnosis and Treatment
- Neuroscience and Neural Engineering
- Multiple Sclerosis Research Studies
- Cerebrovascular and Carotid Artery Diseases
- Dental Radiography and Imaging
- Cardiovascular Function and Risk Factors
- Cardiac Arrest and Resuscitation
- Parkinson's Disease Mechanisms and Treatments
Politecnico di Milano
2016-2025
Fondazione IRCCS Istituto Neurologico Carlo Besta
2018
University College London
2018
University of Milan
1986-2018
IRCCS Policlinico San Donato
2017
Istituti Clinici Scientifici Maugeri
2017
Consorzio di Bioingegneria e Informatica Medica
2015
Instituto Politécnico Nacional
2015
Don Carlo Gnocchi Foundation
2011
University of Genoa
2011
The adaptive effects of physical training on cardiovascular control mechanisms were studied in 11 subjects with mild hypertension. In these we assessed the gain heart period-systolic arterial pressure relationship unfit and fit state by using 1) an open loop approach, whereby is expressed slope regression period as a function systolic pressure, during phenylephrine-induced rise 2) closed approach proper simplification, index alpha, obtained through simultaneous spectral analysis spontaneous...
In this study, we tested the hypothesis that neural control of circulation in humans undergoes continuous but part predictable changes throughout day and night. Dynamic 24-hour recordings were obtained two groups ambulant subjects. 18 hospitalized patients free to move, direct high-fidelity arterial pressures electrocardiograms recorded, an additional 28 nonhospitalized subjects, only obtained. Spectral analysis systolic pressure RR interval variabilities provided quantitative markers...
As the leading cause of dementia worldwide, Alzheimer's Disease (AD) has prompted significant interest in developing Deep Learning (DL) approaches for its classification. However, it currently remains unclear whether these models rely on established biological indicators. This work compares a novel DL model using structural connectivity (namely, BC-GCN-SE adapted from functional tasks) with an magnetic resonance imaging (MRI) scans ResNet18). Unlike most studies primarily focusing...
The authors consider parametric methods for processing cardiovascular signals and try to provide a global, although indirect evaluation of some neural regulatory activities. In particular, the variability heart rate (under form interval tachogram) arterial blood pressure (systogram) together with respiratory movement signal (respirogram) are considered as inputs closed-loop model which describes few aspects physiological interactions among themselves. identifiability transfer function is...
A method of spectral decomposition in multichannel recordings is proposed, which represents the results multivariate (MV) parametric identification terms classification and quantification different oscillating mechanisms. For this purpose, a class MV dynamic adjustment (MDA) models autoregressive (MAR) network causal interactions fed by uncorrelated (AR) processes defined. Poles relevant to MAR closed-loop (cl-poles) poles each AR input are disentangled accordingly classified. The...
Event-related changes of brain electrical rhythms are typically analysed as amplitude modulations local field potential (LFP) oscillations, like radio modulation broadcasting. In telecommunications, frequency (FM) is less susceptible to interference than (AM) and therefore preferred for high-fidelity transmissions. Here we hypothesized that LFP detected from deep stimulation (DBS) electrodes implanted in the subthalamic nucleus (STN) patients with Parkinson's disease could represent...
19F-MRI offers unique opportunities to image diseases and track cells therapeutic agents in vivo. Herein we report a superfluorinated molecular probe, herein called PERFECTA, possessing excellent cellular compatibility, whose spectral properties, relaxation times, sensitivity are promising for vivo applications. The molecule, which bears 36 equivalent 19F atoms shows single intense resonance peak, is easily synthesized via simple one-step reaction formulated water with high stability using...
Artifact removal in resting state fMRI (rfMRI) data remains a serious challenge, with even subtle head motion undermining reliability and reproducibility. Here we compared some of the most popular single-echo de-noising methods—regression Motion parameters, White matter Cerebrospinal fluid signals (MWC method), FMRIB's ICA-based X-noiseifier (FIX) Automatic Removal Of Artifacts (ICA-AROMA)—with multi-echo approach (ME-ICA) that exploits linear dependency BOLD on echo time. Data were acquired...
A double exogenous autoregressive (XXAR) causal parametric model was used to estimate the baroreflex gain (alpha(XXAR)) from spontaneous R-R interval and systolic arterial pressure (SAP) variabilities in conscious dogs. This takes into account 1) effects of current past SAP variations on (i.e., baroreflex-mediated influences), 2) specific perturbations affecting independently circuit (e.g., rhythmic neural inputs modulating at frequencies slower than respiration), 3) influences...
The basic information architecture in the basal ganglia circuit is under debate. Whereas anatomical studies quantify extensive convergence/divergence patterns circuit, suggesting an sharing scheme, neurophysiological report absence of linear correlation between single neurones normal animals, a segregated parallel processing scheme. In 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated monkeys and parkinsonian patients become linearly correlated, thus leading to loss segregation...
The present paper introduces an original method of digital signal processing for automatic analysis non-invasive abdominal ECG recordings on pregnant women starting from the 25th week gestation. procedure has been implemented a DEC-VAX 750 computer at Department Electrical Engineering, Polytechnic Milano and signals are recorded Obstetrics Gynecology "L. Mangiagalli", University Milano, Italy. experimental results presented in here still preliminary as only few cases have considered up to...