Article
Neurosciences
Montana McKewen, Patrick S. Cooper, Patrick Skippen, Aaron S. W. Wong, Patricia T. Michie, Frini Karayanidis
Summary: The study examined proactive and reactive control networks linked to task switching and mixing effects. Different theta networks were activated during proactive and reactive control periods, with mixing effects associated with connectivity from the frontal seed to parietal sites and switch effects with connectivity from the parietal seed to occipital sites. Lateralised occipital connectivity was common to both switch and mixing effects.
HUMAN BRAIN MAPPING
(2021)
Article
Chemistry, Analytical
Hongyang Zhong, Jie Wang, Huayun Li, Jinghong Tian, Jiaqi Fang, Yanting Xu, Weidong Jiao, Gang Li
Summary: This study aimed to explore the neural mechanism of task switching before and after mental fatigue using brain functional network features. The results showed that mental fatigue induced significant changes in network characteristics and functional connections. Beta rhythm showed opposite trends in task switching before and after mental fatigue. The findings provide new insights into the neural mechanism of task switching and suggest that beta rhythm can be used as a neural marker for task switching before and after mental fatigue.
Article
Neurosciences
Geethanjali Balasubramanian, Adalarasu Kanagasabai, Mahesh Veezhinathan, Jagannath Mohan
Summary: This study analyzed the impact of listening to music on task performance by assessing brain activation using EEG signals, visualizing brain connectivity between regions under different experimental conditions. The study found changes in the positions of frontal lobe electrodes during task 1 (listening to music only), significant alpha and theta synchronization in bilateral frontal lobes during task 2 (listening to music and performing tasks), and significant differences in alpha and theta energy at the Fp2 electrode position during task 3 (task without music). The frontal asymmetry index score was significantly higher at F4/F3 and F8/F7 during task 1. The connectivity map showed an association between Fp2 and F8 during task 2, connected to P4 and O2. Increased omission and commission errors were found during task 3.
COGNITIVE NEURODYNAMICS
(2023)
Article
Neurosciences
Manel Vila-Vidal, Mariam Khawaja, Mar Carreno, Pedro Roldan, Jordi Rumia, Antonio Donaire, Gustavo Deco, Adria Tauste Campo
Summary: A novel analytical framework was developed to explore the relationship between local brain activity and global connectivity fluctuations during a face-recognition task. The framework was applied to data from patients with drug-resistant epilepsy and the findings suggested that similar connectivity fluctuations across patients were mainly correlated with the local activity of brain regions involved in face information processing. These global measures may serve as a new signature of functional brain activity reorganization during task processing.
HUMAN BRAIN MAPPING
(2023)
Article
Geriatrics & Gerontology
Cheng-Ya Huang, Liang-Chi Chen, Ruey-Meei Wu, Ing-Shiou Hwang
Summary: Appropriate attentional resource allocation can minimize exaggerated dual-task interference in Parkinson's disease. This study used electroencephalography (EEG) functional connectivity to investigate the effects of task prioritization on dual-task performance and cortical reorganization in early-stage PD patients.
Article
Neurosciences
Jorge Bosch-Bayard, Rolando J. Biscay, Thalia Fernandez, Gloria A. Otero, Josefina Ricardo-Garcell, Eduardo Aubert-Vazquez, Alan C. Evans, Thalia Harmony
Summary: This study describes the maturation of EEG effective connectivity in healthy infants during the first year of life. The results show that initially, the highest indices of connectivity are in the subcortical nuclei and then expand to other brain regions, consistent with the myelination process. As age increases, connectivity mainly increases in the right hemisphere and decreases in the left hemisphere. There is an increase in connectivity in the right hemisphere for frequencies between 20 to 30 Hz. Theta and alpha connections show the greatest changes with age, consistent with behavioral development in infants.
Article
Psychology, Biological
Frini Karayanidis, Guy E. Hawkins, Aaron S. W. Wong, Fayeem Aziz, Montana Hunter, Mark Steyvers
Summary: This study implemented joint modeling of behavioral and single-trial electroencephalography (EEG) data to examine the relationship between trial-by-trial adjustment of response criterion and changes in event-related potentials (ERPs) during the cue-target interval (CTI) in a cued-trials task-switching paradigm. The results showed that ERP components associated with task switching and task preparation were linked to a response criterion parameter. However, the inclusion of additional parameters did not improve the performance of the criterion-EEG link, indicating the need for more customized cognitive models to accurately capture the cognitive control processes underlying task-switching performance. This study is the first to implement joint modeling of behavioral measures and single-trial EEG data in a cued-trials task-switching paradigm.
Article
Education, Special
J. V. V. Parr, E. Hodson-Tole, G. Wood
Summary: This study aimed to measure the functional connectivity between the brain and muscle in individuals with DCD using corticomuscular coherence. The findings revealed impaired communication between the brain and muscles in individuals with DCD, as evidenced by less localized CMC compared to typically developing individuals.
RESEARCH IN DEVELOPMENTAL DISABILITIES
(2022)
Article
Neurosciences
Vanessa A. Petruo, Christian Beste
Summary: The study investigates the relative importance of cognitive and motor aspects in task switching, finding that motor codes play a significant role in switching effects. Modulations in motor processes show a clear temporal sequence and may reflect motor reprogramming processes, contributing to debates on theories of human cognitive flexibility.
Article
Behavioral Sciences
Gesa Berretz, Julian Packheiser, Oliver T. Wolf, Sebastian Ocklenburg
Summary: Functional hemispheric asymmetries occur as the left and right hemispheres dominate different aspects of task processing, with stress potentially increasing callosal excitability and facilitating more efficient signal transfer across the corpus callosum. Further studies are needed to explore the detailed cooperation of the hemispheres under stress, potentially using pharmacological intervention.
BEHAVIOURAL BRAIN RESEARCH
(2022)
Article
Engineering, Biomedical
Lingyun Gao, Jin Yu, Li Zhu, Sujie Wang, Jingjia Yuan, Gang Li, Jiaye Cai, Xucheng Qi, Yi Sun, Yu Sun
Summary: This study investigates the effects of rest-break and moderate-intensity exercise-break on cognitive function impairment caused by mental fatigue. Through dynamic functional connectivity (FC) analysis, the study reveals immediate and delayed changes in FC and provides new insights into the dynamic characteristics of FC during post-break task reengagement.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Francesca Miraglia, Fabrizio Vecchio, Maria Concetta Pellicciari, Jesus Cespon, Paolo Maria Rossini
Summary: This study suggests that using tDCS stimulation can modulate and affect cognitive performance in both young and older adults. The results indicate that stimulation at different scalp sites has different effects on brain activation and performance, with young participants showing greater brain activation spread compared to older participants. These findings are crucial for identifying appropriate tDCS protocols for the aging brain.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2022)
Article
Behavioral Sciences
Cai S. Longman, Heike Elchlepp, Stephen Monsell, Aureliu Lavric
Summary: This study examines issues related to cognitive control in multitasking, including whether processes occur serially or in parallel, and how processes that pro-actively control task-sets take place. The findings suggest that in task-switching experiments, the anticipatory orientation of gaze to the task-relevant location and the EEG positivity may indicate that spatial attention reorientation precedes the reconfiguration of other task-set components.
Article
Psychology, Developmental
Sina A. Schwarze, Corinna Laube, Neda Khosravani, Ulman Lindenberger, Silvia A. Bunge, Yana Fandakova
Summary: The ability to flexibly switch between tasks improves across childhood, but children may have difficulties due to less efficient engagement of sustained and transient control processes in frontoparietal regions. This study examined age differences in frontoparietal modulation in task switching between children and adults. Children showed greater performance costs and less activation in frontoparietal regions, with increased connectivity between inferior frontal junction and lateral prefrontal cortex related to better performance in children with less adult-like activation.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2023)
Article
Neurosciences
Qian Ding, Jixiang Chen, Shunxi Zhang, Songbin Chen, Xiaotong Li, Yuan Peng, Yujie Chen, Junhui Chen, Kang Chen, Guiyuan Cai, Guangqing Xu, Yue Lan
Summary: This study aimed to explore the differences in stroke recovery mechanisms based on the functional integrity of the ipsilesional corticomotor pathway and motor function. The results showed that low-functioning individuals without elicitable motor evoked potentials (MEPs) had a significant increase in functional connectivity, which had a positive effect on motor recovery. In higher-functioning individuals without elicitable MEPs, functional connectivity increased gradually and the influence from the contralesional hemisphere played a key role in motor recovery. In individuals with elicitable MEPs, there was a negative correlation between interhemispheric functional connectivity and motor function, suggesting that the influence from the contralesional hemisphere may be detrimental to motor recovery.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Medicine, Legal
Alberto Chighine, Michele Porcu, Giulio Ferino, Nicola Lenigno, Claudia Trignano, Ernesto D'Aloja, Emanuela Locci
Summary: This case report discusses a suspicious case of Sudden Infant Death Syndrome. Pathological findings indicated acute respiratory failure, and toxicological analysis revealed elevated levels of methadone in the blood. Using a metabolomic approach, the urinary sample collected at autopsy was compared to profiles from newborns who experienced perinatal asphyxia and healthy control newborns. Interestingly, the metabolomic profile of the methadone-intoxicated infant was similar to those with perinatal asphyxia, particularly those with the worst outcomes. This is the first report to utilize a metabolomic approach in a pathological case, providing valuable additional information on the cause and mechanism of death.
INTERNATIONAL JOURNAL OF LEGAL MEDICINE
(2022)
Article
Chemistry, Analytical
Matteo Fraschini, Simone Maurizio La Cava, Giuseppe Rodriguez, Andrea Vitale, Matteo Demuru
Summary: This study presents Scorepochs, a tool for automatic scoring of resting-state M/EEG epochs, aiming to assist M/EEG experts in epoch selection. The method was tested on a freely available EEG dataset with 109 subjects.
Article
Physiology
Tiziana Pietrangelo, Roberto Demontis, Carmen Santangelo, Niccolo Pini, Martina Bonelli, Enrica Rosato, Paola Roberti, Marcello Locatelli, Angela Tartaglia, Lorenzo Marramiero, Vittore Verratti, Danilo Bondi, Stefania Fulle, Ernesto D'Aloja, Cristian D'Ovidio
Summary: Postmortem human skeletal muscles provide a unique source of satellite cells for skeletal muscle regenerative studies, allowing access to a large amount of precursor cells for proliferation and differentiation research. This is crucial for understanding muscle physiology and diseases, as well as for drug testing in challenging 3D-shaped muscles.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Clinical Neurology
Monica Puligheddu, Michela Figorilli, Elena Antelmi, Dario Arnaldi, Elisa Casaglia, Ernesto D'Aloja, Luigi Ferini-Strambi, Raffaele Ferri, Gian Luigi Gigli, Francesca Ingravallo, Michelangelo Maestri, Michele Terzaghi, Giuseppe Plazzi
Summary: Most patients with idiopathic REM sleep behavior disorder (iRBD) will develop an overt alpha-synucleinopathy over time. The FARPRESTO study is a longitudinal retrospective and prospective study aimed at stratifying the risk of phenoconversion in iRBD and investigating the impact and management of iRBD through collecting different biomarkers.
NEUROLOGICAL SCIENCES
(2022)
Article
Environmental Sciences
Maura Galletta, Maria Francesca Piazza, Stefania Luisa Meloni, Elsa Chessa, Ilenia Piras, Judith E. Arnetz, Ernesto D'Aloja
Summary: This study investigated patients' perceptions of shared decision-making with physicians and nurses, and examined the relationship between shared decision-making and patient satisfaction and perceived quality of care/treatment. The results showed that patients rated shared decision-making significantly higher for physicians compared to nurses, while there were no differences in their satisfaction ratings. Ratings of nurses' behavior increased significantly from admission to discharge. Attention to patients' needs was the key determinant of satisfaction with nurses and perceived quality of care, while providing appropriate information was a key determinant of satisfaction with physicians and perceived quality of treatment.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Medicine, General & Internal
Matteo Nioi, Pietro Emanuele Napoli, Roberto Demontis, Alberto Chighine, Fabio De-Giorgio, Simone Grassi, Vincenzo Scorcia, Maurizio Fossarello, Ernesto d'Aloja
Summary: Using portable optical coherence tomography, this study evaluated 46 corneas of 23 individuals in the first 17 hours after death. The findings show that postmortem corneal alterations are largely influenced by dehydration in open eyes and swelling of the stroma in closed eyes.
Review
Health Care Sciences & Services
Eleni Laou, Theodoros Mavridis, Nikolaos Papagiannakis, Gwendolyn Pais, Alberto Chighine, Jack Chang, Emanuela Locci, Ernesto D'Aloja, Marc Scheetz, Athanasios Chalkias, Theodoros Xanthos
Summary: This systematic review and meta-analysis investigated the role of blood biomarkers and metabolomic profiling in predicting VIKI. The results showed that blood biomarkers, including serum creatinine and blood urea nitrogen, can reflect the extent of kidney injury, but no novel blood biomarkers were explored.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Physics, Atomic, Molecular & Chemical
Mozhgan Boroumand, Vincenzo M. Grassi, Flaminia Castagnola, Fabio De-Giorgio, Ernesto d'Aloja, Giuseppe Vetrugno, Vincenzo L. Pascali, Federica Vincenzoni, Federica Iavarone, Gavino Faa, Massimo Castagnola
Summary: This study utilized high-resolution HPLC-MS and MS/MS analysis to detect a set of peptide fragments and intact proteins in the vitreous humour. The results showed strong linear correlations between the concentrations of certain peptide fragments and thymosin b4 with postmortem intervals. These findings suggest that these peptide fragments and protein concentrations could be clinically useful in determining the time of death.
INTERNATIONAL JOURNAL OF MASS SPECTROMETRY
(2023)
Correction
Clinical Neurology
Monica Puligheddu, Michela Figorilli, Elena Antelmi, Dario Arnaldi, Elisa Casaglia, Ernesto d'Aloja, Luigi Ferini-Strambi, Raffaele Ferri, Gian Luigi Gigli, Francesca Ingravallo, Michelangelo Maestri, Michele Terzaghi, Giuseppe Plazzi
NEUROLOGICAL SCIENCES
(2023)
Article
Chemistry, Analytical
Antonello Mascia, Riccardo Collu, Andrea Spanu, Matteo Fraschini, Massimo Barbaro, Piero Cosseddu
Summary: In an interconnected world, wearable systems for monitoring physiological signals are becoming increasingly popular in sports, fitness, rehabilitation, and prosthetics fields. This paper discusses the development of a wearable system for acquiring EEG signals using a portable, low-power custom PCB and ultra-conformable Parylene-C tattoo electrodes. The system was tested and compared to a commercial wearable device (Muse headset) in a rest-state experiment, showing comparable results. This preliminary validation demonstrates the potential of using ultra-conformable tattoo-electrodes integrated portable systems for unobtrusive brain activity acquisition.
Review
Chemistry, Medicinal
Frederike T. T. Fellendorf, Edoardo Caboni, Pasquale Paribello, Martina Pinna, Ernesto D'Aloja, Sara Carucci, Federica Pinna, Eva Z. Z. Reininghaus, Bernardo Carpiniello, Mirko Manchia
Summary: This systematic review summarized naturalistic observational studies on the pharmacological treatment of bipolar depression published through April 2022. The most investigated compounds were lamotrigine, quetiapine, aripiprazole, and ketamine. The results supported the effectiveness of lamotrigine, quetiapine, and aripiprazole, while SSRIs should be used as an adjunctive therapy to mood stabilizers due to the higher switch risk. Lithium showed effectiveness, and ketamine had divergent response rates with unclear long-term effects.
Article
Medicine, Legal
Emanuela Locci, Matteo Stocchero, Rossella Gottardo, Alberto Chighine, Fabio De-Giorgio, Giulio Ferino, Matteo Nioi, Roberto Demontis, Franco Tagliaro, Ernesto d'Aloja
Summary: In this study, H-1 NMR metabolomics was used to estimate post-mortem interval (PMI) in ovine vitreous humor and compared to vitreous potassium concentrations. The results showed that vitreous metabolomics can provide a more accurate prediction of PMI compared to the widely used approach based on vitreous potassium concentrations.
INTERNATIONAL JOURNAL OF LEGAL MEDICINE
(2023)
Article
Medicine, Legal
Alberto Chighine, Matteo Stocchero, Giulio Ferino, Fabio De-Giorgio, Celeste Conte, Matteo Nioi, Ernesto d'Aloja, Emanuela Locci
Summary: This study demonstrates the potential of using pericardial fluid samples for estimating the time since death in forensic investigations. By analyzing metabolites and developing a multivariate regression model, accurate predictions of the post-mortem interval can be made.
INTERNATIONAL JOURNAL OF LEGAL MEDICINE
(2023)
Article
Pharmacology & Pharmacy
T. Congiu, D. Fanni, M. Piras, C. Gerosa, F. Cau, D. Barcellona, E. D'Aloja, R. Demontis, A. Chighine, M. Nioi, P. Coni, A. Ravarino, G. Cerrone, V Aimola, C. Botta, A. Scano, G. Orru, F. Coghe, P. Van Eyken, G. La Nasa, L. Saba, J. S. Suri, G. Faa, F. Marongiu
Summary: This article reports the lung ultrastructural findings in a male patient with vaccine-induced immune thrombotic thrombocytopenia (VITT). The patient exhibited features such as alveolar dilation, vascular proliferation, and thrombosis during the course of the disease. Similar to COVID-19, both diseases result in severe inflammation and activation of the coagulation system.
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES
(2022)
Article
Engineering, Biomedical
Wenwen Wu, Yanqi Huang, Xiaomei Wu
Summary: In this study, a 2D deep learning classification network SRT was proposed to improve automatic ECG analysis. The model structure was enhanced with the CNN and Transformer-encoder modules, and a novel attention module and Dilated Stem structure were introduced to improve feature extraction. Comparative experiments showed that the proposed model outperformed several advanced methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Chiheb Jamazi, Ghaith Manita, Amit Chhabra, Houssem Manita, Ouajdi Korbaa
Summary: In this study, a new dynamic and intelligent clustering method for brain tumor segmentation is proposed by combining the improved Aquila Optimizer (AO) and the K-Means algorithm. The proposed MAO-Kmeans approach aims to automatically extract the correct number and location of cluster centers and the number of pixels in each cluster in abnormal MRI images, and the experimental results demonstrate its effectiveness in improving the performance of conventional K-means clustering.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Alberto Hernando, Maria Dolores Pelaez-Coca, Eduardo Gil
Summary: This study applied a new algorithm to decompose the photoplethysmogram (PPG) pulse and identified changes in PPG pulse morphology due to pressure. The results showed that there was an increase in amplitude, width, and area values of the PPG pulse, and a decrease in ratios when pressure increased, indicating vasoconstriction. Furthermore, some parameters were found to be related to the pulse-to-pulse interval.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Jens Moeller, Eveline Popanda, Nuri H. Aydin, Hubert Welp, Iris Tischoff, Carsten Brenner, Kirsten Schmieder, Martin R. Hofmann, Dorothea Miller
Summary: In this study, a method based on texture features is proposed, which can classify healthy gray and white matter against glioma degrees 4 samples with reasonable classification performance using a relatively low number of samples for training. The method achieves high classification performance without the need for large datasets and complex machine learning approaches.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Amrutha Bhaskaran, Manish Arora
Summary: The study evaluates a cyclic repetition frequency-based algorithm for fetal heart rate estimation. The algorithm improves accuracy and reliability for poor-quality signals and performs well for different gestation weeks and clinical settings.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Manan Patel, Harsh Bhatt, Manushi Munshi, Shivani Pandya, Swati Jain, Priyank Thakkar, Sangwon Yoon
Summary: Electroencephalogram (EEG) signals have been effectively used to measure and analyze neurological data and brain-related ailments. Artificial Intelligence (AI) algorithms, specifically the proposed CNN-FEBAC framework, show promising results in studying the EEG signals of autistic patients and predicting their response to stimuli with 91% accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Wencheng Gu, Kexue Sun
Summary: This research proposes an improved version of YOLOv5 (AYOLOv5) based on the attention mechanism to address the issue of low recognition rate in cell detection. Experimental results demonstrate that AYOLOv5 can accurately identify cell targets and improve the quality and recognition performance of cell pictures.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Anita Gade, V. Vijaya Baskar, John Panneerselvam
Summary: Analysis of exhaled breath is an increasingly used diagnostic technique in medicine. This study introduces a new NICBGM-based model that utilizes various features and weight optimization for accurate data interpretation and result optimization.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Arsalan Asemi, Keivan Maghooli, Fereidoun Nowshiravan Rahatabad, Hamid Azadeh
Summary: Biometric authentication systems can perform identity verification with optimal accuracy in various environments and emotional changes, while the performance of signature verification systems can be affected when people are under stress. This study examines the performance of a signature verification system based on muscle synergy patterns as biometric characteristics for stressed individuals. EMG signals from hand and arm muscles were recorded and muscle synergies were extracted using Non-Negative Matrix Factorization. The extracted patterns were classified using Support Vector Machine for authentication of stressed individuals.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Tianjiao Guo, Jie Yang, Qi Yu
Summary: This paper proposes a CNN-based approach for segmenting four typical DR lesions simultaneously, achieving competitive performance. This approach is significant for DR lesion segmentation and has potential in other segmentation tasks.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
G. Akilandasowmya, G. Nirmaladevi, S. U. Suganthi, A. Aishwariya
Summary: This study proposes a technique for skin cancer detection and classification using deep hidden features and ensemble classifiers. By optimizing features to reduce data dimensionality and combining ensemble classifiers, the proposed method outperforms in skin cancer classification and improves prediction accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Tuuli Uudeberg, Juri Belikov, Laura Paeske, Hiie Hinrikus, Innar Liiv, Maie Bachmann
Summary: This article introduces a novel feature extraction method, the in-phase matrix profile (pMP), specifically adapted for electroencephalographic (EEG) signals, for detecting major depressive disorder (MDD). The results show that pMP outperforms Higuchi's fractal dimension (HFD) in detecting MDD, making it a promising method for future studies and potential clinical use for diagnosing MDD.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
P. Nancy, M. Parameswari, J. Sathya Priya
Summary: Stroke is the third leading cause of mortality worldwide, and early detection is crucial to avoid health risks. Existing research on disease detection using machine learning techniques has limitations, so a new stroke detection system is proposed. The experimental results show that the proposed method achieves a high accuracy rate in stroke detection.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Shimin Liu, Zhiwen Huang, Jianmin Zhu, Baolin Liu, Panyu Zhou
Summary: In this study, a continuous blood pressure (BP) monitoring method based on random forest feature selection (RFFS) and a gray wolf optimization-gradient boosting regression tree (GWO-GBRT) prediction model was developed. The method extracted features from electrocardiogram (ECG) and photoplethysmography (PPG) signals, and employed RFFS to select sensitive features highly correlated with BP. A hybrid prediction model of gray wolf optimization (GWO) technique and gradient boosting regression tree (GBRT) algorithm was established to learn the relationship between BP and sensitive features. Experimental results demonstrated the effectiveness and advancement of the proposed method.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Weijun Gong, Yurong Qian, Weihang Zhou, Hongyong Leng
Summary: The recognition of dynamic facial expressions is challenging due to various factors, and obtaining discriminative expression features has been difficult. Traditional deep learning networks lack understanding of global and temporal expressions. This study proposes an enhanced spatial-temporal learning network to improve dynamic facial expression recognition.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
