• Cardiovascular Control
    • Tito Bassani
    • Tito Bassani: Influence Statistics

      Tito Bassani

      Tito Bassani

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      IRCCS Istituto Ortopedico Galeazzi, Milan, Italy | IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy | LABS-Laboratory of Biological Structures ...

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      Tito Bassani:Expert Impact

      Concepts for whichTito Bassanihas direct influence:Cardiovascular control,Heart period,General anesthesia,Granger causality,Adolescent idiopathic scoliosis,Propofol anesthesia,Systolic arterial pressure,Mechanical stimulation.

      Tito Bassani:KOL impact

      Concepts related to the work of other authors for whichfor which Tito Bassani has influence:Heart rate,Artificial intelligence,Baroreflex sensitivity,Lumbar spine,Machine learning,Cardiovascular control,Granger causality.

      KOL Resume for Tito Bassani


      IRCCS Istituto Ortopedico Galeazzi, Milan, Italy


      IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy


      IRCCS Istituto Ortopedico Galeazzi, LABS - Laboratory of Biological Structures Mechanics, Milan, Italy. Electronic address:


      Laboratory of Biological Structures Mechanics, IRCCS Istituto Ortopedico Galeazzi, Via Galeazzi 4, 20161, Milan, Italy


      IRCCS Galeazzi Orthopedic Institute, Milan, Italy


      IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy;, (T.B.);, (F.G.)


      IRCCS Humanitas Clinical and Research Center, Rozzano, Italy


      Department of Biomedical Sciences for Health, Galeazzi Orthopedic Institute, University of Milan, Milan, Italy, tel:, +39 02 50319976, fax:, +39 02 50319979

      Humanitas Clinical and Research Center, Rozzano, Italy; and


      Dept. of Biomed. Sci. for Health, Univ. of Milan, Milan, Italy


      AG Nichtlineare Dynamik (S) / Kardiovaskuläre Physik, Institut für Physik, Humboldt-Universität zu Berlin, Robert-Koch-Platz 4, 10115 Berlin, Germany Department of Technologies for Health, Galeazzi Orthopedic Institute, University of Milan, Milan, Italy


      Galeazzi Orthopedic Institute, University of Milan, Milan, Italy;

      Department of Bioengineering, Polytechnic University of Milan, Milan;


      Biomed. Eng. Dept., Politec. di Milano, Milan, Italy

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      Sample of concepts for which Tito Bassani is among the top experts in the world.
      Concept World rank
      longissimus spinae #3
      modeling software chapter #3
      vertebral fracture spondylolisthesis #3
      unstructured nature reports #3
      loads spinopelvic #3
      roussouly lumbar type #3
      204 humanannotated images #3
      panorama modeling software #3
      lumbar typology #3
      2772 configurations #3
      existing unstructured datasets #3
      human spine panorama #3
      internal biomechanical loads #3
      characterization human spine #3
      modeling spinopelvic #3
      relation lumbar loads #3
      modeling technique characterization #3
      l1l5 l1s1 lordosis #4
      causal hp #4
      resnet18 models #4
      scoliosis assigned #4
      scoliotic spine study #4
      brs monitoring #4
      sensitivity squared #4
      10193 images #4
      pure moments stresses #4
      mechanical ventilation prevent #4
      posterior rods respect #4
      small brs values #4
      scoliosis silico #4
      l1l5 posterior fixation #4
      195 test images #4
      influences mechanical ventilation #4
      bending hardware #4
      dsnt layer #4
      flexion pedicle #4
      relevant radiological parameters #4
      132 scoliotic subjects #4
      pedicle screws respect #4
      coordinates vertebral corners #4
      calculate landmarks #4
      stresses pedicle screws #4
      intervertebral lateral shear #4
      lumbar fixation implants #4
      brs monitoring hp #4
      deep learning coordinates #4
      implants flexionextension #4
      characterization scoliosis #4
      univariate symbolic #5
      hp predictability #5
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      Prominent publications by Tito Bassani

      KOL-Index: 10300

      The proposed approach evaluates complexity of the cardiovascular control and causality among cardiovascular regulatory mechanisms from spontaneous variability of heart period (HP), systolic arterial pressure (SAP) and respiration (RESP). It relies on construction of a multivariate embedding space, optimization of the embedding dimension and a procedure allowing the selection of the components most suitable to form the multivariate embedding space. Moreover, it allows the comparison ...

      Known for Cardiovascular Control | Age Stand | Mf Approaches | Heart Period | Spontaneous Variability
      KOL-Index: 10020

      The study assesses complexity of the cardiac control directed to the sinus node and to ventricles in long QT syndrome type 1 (LQT1) patients with KCNQ1-A341V mutation. Complexity was assessed via refined multiscale entropy (RMSE) computed over the beat-to-beat variability series of heart period (HP) and QT interval. HP and QT interval were approximated respectively as the temporal distance between two consecutive R-wave peaks and between the R-wave apex and T-wave end. Both measures were ...

      Known for Cardiac Control | Multiscale Complexity Analysis | Long Qt | Syndrome Type | Mutation Carriers
      KOL-Index: 9657

      Cardiac baroreflex is a fundamental component of the cardiovascular control. The continuous assessment of baroreflex sensitivity (BRS) from spontaneous heart period (HP) and systolic arterial pressure (SAP) variations during general anesthesia provides relevant information about cardiovascular regulation in physiological conditions. Unfortunately, several difficulties including unknown HP-SAP causal relations, negligible SAP changes, small BRS values, and confounding influences due to ...

      Known for Propofol Anesthesia | Coronary Artery | Baroreflex Sensitivity | Cardiovascular Control | Bypass Graft
      KOL-Index: 8098

      It is unclear whether the complexity of the variability of the systolic arterial pressure (SAP) provides complementary information to that of the heart period (HP). The complexity of HP and SAP variabilities was assessed from short beat-to-beat recordings (i.e., 256 cardiac beats). The evaluation was made during a pharmacological protocol that induced vagal blockade with atropine or a sympathetic blockade (beta-adrenergic blockade with propranolol or central sympathetic blockade with ...

      Known for Heart Period | Arterial Pressure | Complexity Indexes | Orthostatic Challenge | Vagal Withdrawal
      KOL-Index: 7992

      In physiological conditions, heart period (HP) affects systolic arterial pressure (SAP) through diastolic runoff and Starling's law, but, the reverse relation also holds as a result of the continuous action of baroreflex control. The prevailing mechanism sets the dominant temporal direction in the HP-SAP interactions (i.e., causality). We exploited cross-conditional entropy to assess HP-SAP causality. A traditional approach based on phases was applied for comparison. The ability of the ...

      Known for Heart Period | Systolic Arterial Pressure | Causal Relation | Graded Head | Tilt Table Inclination
      KOL-Index: 7579

      This study was designed to demonstrate the need of accounting for respiration (R) when causality between heart period (HP) and systolic arterial pressure (SAP) is under scrutiny. Simulations generated according to a bivariate autoregressive closed-loop model were utilized to assess how causality changes as a function of the model parameters. An exogenous (X) signal was added to the bivariate autoregressive closed-loop model to evaluate the bias on causality induced when the X source was ...

      Known for Granger Causality | Variability Series | Breathing Rate | Heart Period | Time Domain
      KOL-Index: 6879

      Motor impairment in Parkinson's disease (PD) is partly due to defective central processing of lower limb afferents. Concomitant alterations in cardiovascular autonomic control leading to orthostatic hypotension may worsen motor ability. We evaluated whether mechanical activation of feet sensory afferents could improve gait and modify the response of cardiovascular autonomic control to stressors in 16 patients (age 66 ± 2 yr) with idiopathic PD (Hoehn & Yhar scale 2-3) on their usual ...

      Known for Mechanical Stimulation | Autonomic Control | Parkinsons Disease | Heart Rate | Orthostatic Hypotension
      KOL-Index: 6402

      PurposeWe present an automated method for extracting anatomical parameters from biplanar radiographs of the spine, which is able to deal with a wide scenario of conditions, including sagittal and coronal deformities, degenerative phenomena as well as images acquired with different fields of view.MethodsThe location of 78 landmarks (end plate centers, hip joint centers, and margins of the S1 end plate) was extracted from three-dimensional reconstructions of 493 spines of patients ...

      Known for Deep Learning | Spinal Disorders | Biplanar Radiographs | Pelvic Tilt | Fully Automated
      KOL-Index: 6267

      Baroreflex sensitivity (BRS) is commonly assessed from spontaneous fluctuations of heart period (HP) and systolic arterial pressure (SAP) during general anesthesia. Unfortunately, general anesthesia depresses autonomic function and, consequently, spontaneous SAP variations could not be capable to drive HP changes, thus preventing the use of spontaneous variability to infer BRS. We applied two Granger causality approaches (F-test and Wald test) during two anesthesiological strategies ...

      Known for General Anesthesia | Granger Causality | Heart Period | Baroreflex Sensitivity | Autonomic Function
      KOL-Index: 6251

      We studied causal relations among heart period (HP), systolic arterial pressure (SAP) and respiration (R) according to the definition of Granger causality in the time domain. Autonomic pharmacological challenges were used to alter the complexity of cardiovascular control. Atropine (AT), propranolol and clonidine (CL) were administered to block muscarinic receptors, β-adrenergic receptors and centrally sympathetic outflow, respectively. We found that: (i) at baseline, HP and SAP ...

      Known for Cardiovascular Control | Granger Causality | Time Domain | Bidirectional Interactions | Closed Loop
      KOL-Index: 6244

      The autonomic regulation is non-invasively estimated from heart rate variability (HRV). Many methods utilized to assess autonomic regulation require stationarity of HRV recordings. However, non-stationarities are frequently present even during well-controlled experiments, thus potentially biasing HRV indices. The aim of our study is to quantify the potential bias of spectral, symbolic and entropy HRV indices due to non-stationarities. We analyzed HRV series recorded in healthy subjects ...

      Known for Heart Rate | Hrv Indices | Autonomic Regulation | Sympathetic Modulation | Physical Exercise
      KOL-Index: 5974

      Complexity analysis of short-term cardiovascular control is traditionally performed using entropy-based approaches including corrective terms or strategies to cope with the loss of reliability of conditional distributions with pattern length. This study proposes a new approach aiming at the estimation of conditional entropy (CE) from short data segments (about 250 samples) based on the k-nearest-neighbor technique. The main advantages are: (i) the control of the loss of reliability of ...

      Known for Conditional Entropy | Cardiovascular Control | Pattern Length | Complexity Indexes | Nearest Neighbor
      KOL-Index: 5181

      We propose an approach based on time reversibility analysis to characterize the cardiovascular regulation and its nonlinearities as derived from 24 hours Holter recordings of heart period variability in a healthy population (n=12, age: median=43 years, range=34-55 years) and in a pathological group of age-matched chronic heart failure (CHF) patients (n=13, primarily in NYHA class II, age: median=37 years, range=33-56 years, ejection fraction: median=25%, range=13-30%). Two indices ...

      Known for Cardiovascular Regulation | Irreversibility Analysis | Nonlinear Dynamics | Heart Period | Healthy Population
      KOL-Index: 5153

      In the panorama of available musculoskeletal modeling software, AnyBody software is a commercial tool that provides a full body musculoskeletal model which is increasingly exploited by numerous researchers worldwide. In this regard, model validation becomes essential to guarantee the suitability of the model in representing the simulated system. When focusing on lumbar spine, the previous works aimed at validating the AnyBody model in computing the intervertebral loads held several ...

      Known for Musculoskeletal Model | Biological Muscle | Spine Loads | Vivo Measurements | L4l5 Intradiscal Pressure
      KOL-Index: 5025

      There is not enough evidence on the impact of different speed endurance training regimes on footballers' ability to perform multiple shuttle run performance. This study examined the effect of 4 weeks of speed endurance maintenance (SEM) and speed endurance production (SEP) training on the 5-meter multiple shuttle run test (5-m MST) performance in young elite soccer players. A parallel two-groups, longitudinal design was used. Fifteen players were divided to either SEM (8 repetitions of ...

      Known for Speed Endurance | Soccer Players | Training Regimes | Total Distance | 4 Weeks

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      IRCCS Istituto Ortopedico Galeazzi, Milan, Italy | IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy | LABS-Laboratory of Biological Structures Mechanics, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy | IRCCS Istituto

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