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  1. Article ; Online: Cardiorespiratory DB: Collection of cardiorespiratory data acquired during normal breathing, deep breathing and breath holding.

    Sbrollini, Agnese / Marcantoni, Ilaria / Lunghi, Tamara / Morettini, Micaela / Burattini, Laura

    Data in brief

    2024  Volume 54, Page(s) 110406

    Abstract: The database is constituted by 50 datasets containing cardiorespiratory signals acquired from 50 healthy volunteer subjects (one dataset for each subject; 23 males and 27 females; age: 23±5 years) while performing normal breathing, deep breathing, and ... ...

    Abstract The database is constituted by 50 datasets containing cardiorespiratory signals acquired from 50 healthy volunteer subjects (one dataset for each subject; 23 males and 27 females; age: 23±5 years) while performing normal breathing, deep breathing, and breath holding, and two spreadsheet files, namely the "SubjectsInfo.xlsx" and "DBInfo.xlsx" containing the metadata of subjects (including demographic data) and of acquired signals, respectively. Cardiorespiratory signals consisted in simultaneously recorded 12-lead electrocardiograms acquired by the clinical M12 Global Instrumentation
    Language English
    Publishing date 2024-04-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2024.110406
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Identification of Respiration Types Through Respiratory Signal Derived From Clinical and Wearable Electrocardiograms.

    Sbrollini, Agnese / Morettini, Micaela / Gambi, Ennio / Burattini, Laura

    IEEE open journal of engineering in medicine and biology

    2023  Volume 4, Page(s) 268–274

    Abstract: Goal: To evaluate suitability of respiratory signals derived from clinical 12-lead electrocardiograms (ECGs) and wearable 1-lead ECG to identify different respiration types.: Methods: ECGs were simultaneously acquired through the M12R ECG Holter by ... ...

    Abstract Goal: To evaluate suitability of respiratory signals derived from clinical 12-lead electrocardiograms (ECGs) and wearable 1-lead ECG to identify different respiration types.
    Methods: ECGs were simultaneously acquired through the M12R ECG Holter by Global Instrumentation and the chest strap BioHarness 3.0 by Zephyr from 42 healthy subjects alternating normal breathing, breath holding, and deep breathing. Respiration signals were derived from the ECGs through the Segmented-Beat Modulation Method (SBMM)-based algorithm and the algorithms by Van Gent, Charlton, Soni and Sarkar, and characterized in terms of breathing rate and amplitude. Respiration classification was performed through a linear support vector machine and evaluated by F1 score.
    Results: Best F1 scores were 86.59%(lead V2) and 80.57%, when considering 12-lead and 1-lead ECGs, respectively, and using SBMM-based algorithm.
    Conclusion: ECG-derived respiratory signals allow reliable identification of different respiration types even when acquired through wearable sensors, if associated to appropriate processing algorithms, such as the SBMM-based algorithm.
    Language English
    Publishing date 2023-12-15
    Publishing country United States
    Document type Journal Article
    ISSN 2644-1276
    ISSN (online) 2644-1276
    DOI 10.1109/OJEMB.2023.3343557
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review.

    Romagnoli, Sofia / Ripanti, Francesca / Morettini, Micaela / Burattini, Laura / Sbrollini, Agnese

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 6

    Abstract: Wearable and portable devices capable of acquiring cardiac signals are at the frontier of the sport industry. They are becoming increasingly popular for monitoring physiological parameters while practicing sport, given the advances in miniaturized ... ...

    Abstract Wearable and portable devices capable of acquiring cardiac signals are at the frontier of the sport industry. They are becoming increasingly popular for monitoring physiological parameters while practicing sport, given the advances in miniaturized technologies, powerful data, and signal processing applications. Data and signals acquired by these devices are increasingly used to monitor athletes' performances and thus to define risk indices for sport-related cardiac diseases, such as sudden cardiac death. This scoping review investigated commercial wearable and portable devices employed for cardiac signal monitoring during sport activity. A systematic search of the literature was conducted on PubMed, Scopus, and Web of Science. After study selection, a total of 35 studies were included in the review. The studies were categorized based on the application of wearable or portable devices in (1) validation studies, (2) clinical studies, and (3) development studies. The analysis revealed that standardized protocols for validating these technologies are necessary. Indeed, results obtained from the validation studies turned out to be heterogeneous and scarcely comparable, since the metrological characteristics reported were different. Moreover, the validation of several devices was carried out during different sport activities. Finally, results from clinical studies highlighted that wearable devices are crucial to improve athletes' performance and to prevent adverse cardiovascular events.
    MeSH term(s) Humans ; Monitoring, Physiologic/methods ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices ; Athletic Performance ; Heart Diseases
    Language English
    Publishing date 2023-03-22
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23063350
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Editorial: Artificial intelligence in human physiology.

    Ong, Chin Siang / Burattini, Laura / Schena, Stefano

    Frontiers in physiology

    2022  Volume 13, Page(s) 1075819

    Language English
    Publishing date 2022-11-18
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2022.1075819
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Review on Cardiorespiratory Complications after SARS-CoV-2 Infection in Young Adult Healthy Athletes.

    Romagnoli, Sofia / Sbrollini, Agnese / Marcantoni, Ilaria / Morettini, Micaela / Burattini, Laura

    International journal of environmental research and public health

    2022  Volume 19, Issue 9

    Abstract: This review analyzes scientific data published in the first two years of the COVID-19 pandemic with the aim to report the cardiorespiratory complications observed after SARS-CoV-2 infection in young adult healthy athletes. Fifteen studies were selected ... ...

    Abstract This review analyzes scientific data published in the first two years of the COVID-19 pandemic with the aim to report the cardiorespiratory complications observed after SARS-CoV-2 infection in young adult healthy athletes. Fifteen studies were selected using PRISMA guidelines. A total of 4725 athletes (3438 males and 1287 females) practicing 19 sports categories were included in the study. Information about symptoms was released by 4379 (93%) athletes; of them, 1433 (33%) declared to be asymptomatic, whereas the remaining 2946 (67%) reported the occurrence of symptoms with mild (1315; 45%), moderate (821; 28%), severe (1; 0%) and unknown (809; 27%) severity. The most common symptoms were anosmia (33%), ageusia (32%) and headache (30%). Cardiac magnetic resonance identified the largest number of cardiorespiratory abnormalities (15.7%). Among the confirmed inflammations, myocarditis was the most common (0.5%). In conclusion, the low degree of symptom severity and the low rate of cardiac abnormalities suggest that the risk of significant cardiorespiratory involvement after SARS-CoV-2 infection in young adult athletes is likely low; however, the long-term physiologic effects of SARS-CoV-2 infection are not established yet. Extensive cardiorespiratory screening seems excessive in most cases, and classical pre-participation cardiovascular screening may be sufficient.
    MeSH term(s) Athletes ; COVID-19/complications ; COVID-19/epidemiology ; Female ; Humans ; Male ; Myocarditis/diagnosis ; Myocarditis/epidemiology ; Myocarditis/etiology ; Pandemics ; SARS-CoV-2 ; Young Adult
    Language English
    Publishing date 2022-05-06
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph19095680
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb.

    Mobarak, Rami / Tigrini, Andrea / Verdini, Federica / Al-Timemy, Ali H / Fioretti, Sandro / Burattini, Laura / Mengarelli, Alessandro

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

    2024  Volume 32, Page(s) 812–821

    Abstract: In this study, a minimal setup for the ankle joint kinematics estimation is proposed relying only on proximal information of the lower-limb, i.e. thigh muscles activity and joint kinematics. To this purpose, myoelectric activity of Rectus Femoris (RF), ... ...

    Abstract In this study, a minimal setup for the ankle joint kinematics estimation is proposed relying only on proximal information of the lower-limb, i.e. thigh muscles activity and joint kinematics. To this purpose, myoelectric activity of Rectus Femoris (RF), Biceps Femoris (BF), and Vastus Medialis (VM) were recorded by surface electromyography (sEMG) from six healthy subjects during unconstrained walking task. For each subject, the angular kinematics of hip and ankle joints were synchronously recorded with sEMG signal for a total of 288 gait cycles. Two feature sets were extracted from sEMG signals, i.e. time domain (TD) and wavelet (WT) and compared to have a compromise between the reliability and computational capacity, they were used for feeding three regression models, i.e. Artificial Neural Networks, Random Forest, and Least Squares - Support Vector Machine (LS-SVM). BF together with LS-SVM provided the best ankle angle estimation in both TD and WT domains (RMSE < 5.6 deg). The inclusion of Hip joint trajectory significantly enhanced the regression performances of the model (RMSE < 4.5 deg). Results showed the feasibility of estimating the ankle trajectory using only proximal and limited information from the lower limb which would maximize a potential transfemoral amputee user's comfortability while facing the challenge of having a small amount of information thus requiring robust data-driven models. These findings represent a significant step towards the development of a minimal setup useful for the control design of ankle active prosthetics and rehabilitative solutions.
    MeSH term(s) Humans ; Ankle Joint/physiology ; Biomechanical Phenomena ; Reproducibility of Results ; Walking/physiology ; Lower Extremity ; Muscle, Skeletal/physiology ; Gait/physiology ; Electromyography/methods ; Knee Joint
    Language English
    Publishing date 2024-02-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1166307-8
    ISSN 1558-0210 ; 1063-6528 ; 1534-4320
    ISSN (online) 1558-0210
    ISSN 1063-6528 ; 1534-4320
    DOI 10.1109/TNSRE.2024.3364976
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Glucagon-like peptide-1 and interleukin-6 interaction in response to physical exercise: An in-silico model in the framework of immunometabolism.

    Morettini, Micaela / Palumbo, Maria Concetta / Bottiglione, Alessandro / Danieli, Andrea / Del Giudice, Simone / Burattini, Laura / Tura, Andrea

    Computer methods and programs in biomedicine

    2024  Volume 245, Page(s) 108018

    Abstract: Background and objective: Glucagon-like peptide 1 (GLP-1) is classically identified as an incretin hormone, secreted in response to nutrient ingestion and able to enhance glucose-stimulated insulin secretion. However, other stimuli, such as physical ... ...

    Abstract Background and objective: Glucagon-like peptide 1 (GLP-1) is classically identified as an incretin hormone, secreted in response to nutrient ingestion and able to enhance glucose-stimulated insulin secretion. However, other stimuli, such as physical exercise, may enhance GLP-1 plasma levels, and this exercise-induced GLP-1 secretion is mediated by interleukin-6 (IL-6), a cytokine secreted by contracting skeletal muscle. The aim of the study is to propose a mathematical model of IL-6-induced GLP-1 secretion and kinetics in response to physical exercise of moderate intensity.
    Methods: The model includes the GLP-1 subsystem (with two pools: gut and plasma) and the IL-6 subsystem (again with two pools: skeletal muscle and plasma); it provides a parameter of possible clinical relevance representing the sensitivity of GLP-1 to IL-6 (k
    Results: Model validation provided mean residuals between 0.0051 and 0.5493 pg⋅mL
    Conclusions: The model accurately captures IL-6-induced GLP-1 kinetics in response to physical exercise.
    MeSH term(s) Humans ; Glucagon-Like Peptide 1 ; Interleukin-6 ; Glucose ; Insulin Secretion ; Exercise ; Insulin/metabolism ; Blood Glucose
    Chemical Substances Glucagon-Like Peptide 1 (89750-14-1) ; Interleukin-6 ; Glucose (IY9XDZ35W2) ; Insulin ; Blood Glucose
    Language English
    Publishing date 2024-01-17
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2024.108018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Acquisition Devices for Fetal Phonocardiography: A Scoping Review.

    Giordano, Noemi / Sbrollini, Agnese / Morettini, Micaela / Rosati, Samanta / Balestra, Gabriella / Gambi, Ennio / Knaflitz, Marco / Burattini, Laura

    Bioengineering (Basel, Switzerland)

    2024  Volume 11, Issue 4

    Abstract: Timely and reliable fetal monitoring is crucial to prevent adverse events during pregnancy and delivery. Fetal phonocardiography, i.e., the recording of fetal heart sounds, is emerging as a novel possibility to monitor fetal health status. Indeed, due to ...

    Abstract Timely and reliable fetal monitoring is crucial to prevent adverse events during pregnancy and delivery. Fetal phonocardiography, i.e., the recording of fetal heart sounds, is emerging as a novel possibility to monitor fetal health status. Indeed, due to its passive nature and its noninvasiveness, the technique is suitable for long-term monitoring and for telemonitoring applications. Despite the high share of literature focusing on signal processing, no previous work has reviewed the technological hardware solutions devoted to the recording of fetal heart sounds. Thus, the aim of this scoping review is to collect information regarding the acquisition devices for fetal phonocardiography (FPCG), focusing on technical specifications and clinical use. Overall, PRISMA-guidelines-based analysis selected 57 studies that described 26 research prototypes and eight commercial devices for FPCG acquisition. Results of our review study reveal that no commercial devices were designed for fetal-specific purposes, that the latest advances involve the use of multiple microphones and sensors, and that no quantitative validation was usually performed. By highlighting the past and future trends and the most relevant innovations from both a technical and clinical perspective, this review will represent a useful reference for the evaluation of different acquisition devices and for the development of new FPCG-based systems for fetal monitoring.
    Language English
    Publishing date 2024-04-11
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2746191-9
    ISSN 2306-5354
    ISSN 2306-5354
    DOI 10.3390/bioengineering11040367
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: An integrated lumped-parameter model of the cardiovascular system for the simulation of acute ischemic stroke: description of instantaneous changes in hemodynamics.

    Civilla, Lorenzo / Sbrollini, Agnese / Burattini, Laura / Morettini, Micaela

    Mathematical biosciences and engineering : MBE

    2021  Volume 18, Issue 4, Page(s) 3993–4010

    Abstract: Acute Ischemic Stroke (AIS) is defined as the acute condition of occlusion of a cerebral artery and is often caused by a Hypertensive Condition (HC). Due to its sudden occurrence, AIS is not observable the right moment it occurs, thus information about ... ...

    Abstract Acute Ischemic Stroke (AIS) is defined as the acute condition of occlusion of a cerebral artery and is often caused by a Hypertensive Condition (HC). Due to its sudden occurrence, AIS is not observable the right moment it occurs, thus information about instantaneous changes in hemodynamics is limited. This study aimed to propose an integrated Lumped Parameter (LP) model of the cardiovascular system to simulate an AIS and describe instantaneous changes in hemodynamics. In the integrated LP model of the cardiovascular system, heart chambers have been modelled with elastance systems with controlled pressure inputs; heart valves have been modelled with static open/closed pressure-controlled valves; eventually, the vasculature has been modelled with resistor-inductor-capacitor (RLC) direct circuits and have been linked to the rest of the system through a series connection. After simulating physiological conditions, HC has been simulated by changing pressure inputs and constant RLC parameters. Then, AIS occurring in arteries of different sizes have been simulated by considering time-dependent RLC parameters due to the elimination from the model of the occluding artery; instantaneous changes in hemodynamics have been evaluated by Systemic Arteriolar Flow (Qa) and Systemic Arteriolar Pressure (Pa) drop with respect to those measured in HC. Occlusion of arteries of different sizes leaded to an average Qa drop of 0.38 ml/s per cardiac cycle (with minimum and maximum values of 0.04 ml/s and 1.93 ml/s) and average Pa drop of 0.39 mmHg, (with minimum and maximum values of 0.04 mmHg and 1.98 mmHg). In conclusion, hemodynamic variations due to AIS are very small with respect to HC. A direct relation between the inverse of the length of the artery in which the occlusion occurs and the hemodynamic variations has been highlighted; this may allow to link the severity of AIS to the length of the interested artery.
    MeSH term(s) Arteries ; Brain Ischemia ; Computer Simulation ; Hemodynamics ; Humans ; Ischemic Stroke ; Models, Cardiovascular ; Stroke
    Language English
    Publishing date 2021-07-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2265126-3
    ISSN 1551-0018 ; 1551-0018
    ISSN (online) 1551-0018
    ISSN 1551-0018
    DOI 10.3934/mbe.2021200
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review.

    Nocera, Antonio / Sbrollini, Agnese / Romagnoli, Sofia / Morettini, Micaela / Gambi, Ennio / Burattini, Laura

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 7

    Abstract: American football is the sport with the highest rates of concussion injuries. Biomedical engineering applications may support athletes in monitoring their injuries, evaluating the effectiveness of their equipment, and leading industrial research in this ... ...

    Abstract American football is the sport with the highest rates of concussion injuries. Biomedical engineering applications may support athletes in monitoring their injuries, evaluating the effectiveness of their equipment, and leading industrial research in this sport. This literature review aims to report on the applications of biomedical engineering research in American football, highlighting the main trends and gaps. The review followed the PRISMA guidelines and gathered a total of 1629 records from PubMed (n = 368), Web of Science (n = 665), and Scopus (n = 596). The records were analyzed, tabulated, and clustered in topics. In total, 112 studies were selected and divided by topic in the biomechanics of concussion (n = 55), biomechanics of footwear (n = 6), biomechanics of sport-related movements (n = 6), the aerodynamics of football and catch (n = 3), injury prediction (n = 8), heat monitoring of physiological parameters (n = 8), and monitoring of the training load (n = 25). The safety of players has fueled most of the research that has led to innovations in helmet and footwear design, as well as improvements in the understanding and prevention of injuries and heat monitoring. The other important motivator for research is the improvement of performance, which has led to the monitoring of training loads and catches, and studies on the aerodynamics of football. The main gaps found in the literature were regarding the monitoring of internal loads and the innovation of shoulder pads.
    MeSH term(s) Humans ; Football/injuries ; Football/physiology ; Brain Concussion/prevention & control ; Soccer ; Athletes ; Head Protective Devices ; Athletic Injuries/prevention & control
    Language English
    Publishing date 2023-03-28
    Publishing country Switzerland
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23073538
    Database MEDical Literature Analysis and Retrieval System OnLINE

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