• KOL
    • Human Movement Analysis
    • Ugo Della Croce
    • Ugo Della Croce: Influence Statistics

      Ugo Della Croce

      Ugo Della Croce

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      Department of Biomedical Sciences, University of Sassari, Sassari, Italy | Biomedical Engineering Department, Catholic University of America, Washington, DC 20064, USA | ...

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      Ugo Della Croce:Expert Impact

      Concepts for whichUgo Della Crocehas direct influence:Human movement analysis,Virtual reality,Multiple sclerosis,Vertical displacement,Gait speed,Heel rise,Treadmill training,Pelvic rotation.

      Ugo Della Croce:KOL impact

      Concepts related to the work of other authors for whichfor which Ugo Della Croce has influence:Gait analysis,Knee joint,Biomechanical phenomena,Lower limb,Multiple sclerosis,Treadmill walking,Motion capture.

      KOL Resume for Ugo Della Croce

      Year
      2022

      Department of Biomedical Sciences, University of Sassari, Sassari, Italy

      2021

      Biomedical Engineering Department, Catholic University of America, Washington, DC 20064, USA

      2020

      Department of Biomedical Sciences, Università di Sassari, 07100, Sassari, Italy

      2019

      Department of Biomedical Sciences, University of Sassari, Sassari

      2018

      Department of Biomedical Sciences, Bioengineering Unit, University of Sassari, Sassari (SS), Italy; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari (SS), Italy.

      Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, University of Sassari, Sassari, Italy

      2017

      Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, University of Sassari

      2016

      Information Engineering Unit, POLCOMING Department, University of Sassari, Sassari, Italy

      2015

      POLCOMING Department, Information Engineering Unit, University of Sassari, Sassari, Italy

      2014

      Department of Information Engineering, Political Sciences and Communication Sciences, University of Sassari, Viale Mancini, 5, 07100 Sassari, Italy

      Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System

      2013

      Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA; POLCOMING Department, Information Engineering Unit, University of Sassari, Sassari, Italy∗

      2012

      Department of Biomedical Science, University of Sassari, Sassari

      2011

      Department of Biomedical Sciences, University of Sassari, Sassari, Italy, phone:, +39079228340, ; fax:, +39079228523

      2009

      Department of Biomedical Sciences – University of Sassari, Sassari, Italy

      2008

      Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, VA; and Department of Biomedical Sciences, University of Sassari, Sassari, ITALY, Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, VA; and Department of Biomedical Sciences, University of Sassari, Sassari, ITALY

      2007

      Centro di Cura e Riabilitazione Santa Maria Bambina, Oristano, Italy

      Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, VA, USA

      2006

      Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA

      2005

      Sezione di Fisiologia e Bioingegneria dell’Uomo, Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy

      Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, VA

      2003

      From the *NeuroMuscular Research Center, Boston University, Boston, †Department of PM&R, Harvard Medical School at Spaulding Rehabilitation Hospital, Boston, Massachusetts, ‡Department of PM&R, University Hospital of Vienna, §Rehabilitation Hospital “Weisser Hof”, Klosterneuburg, ∥Department of Medical Statistics, University of Vienna, Austria, and ¶Dipartimento di Scienze Biomediche, Università di Sassari, Italy.

      2002

      Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, ITALY

      2001

      Spaulding CRS Rehabilitation Engineering Laboratory and Hospital, and Department of PM&R Harvard Medical School, 125, Nashua Street, Boston, MA 02114 USA

      Dipartimento Scienze Biomediche Universita’ di Sassari, IT, Italy

      2000

      Harvard Medical School Department of Physical Medicine and Rehabilitation and Spaulding Rehabilitation Hospital, Boston, MA (Kerrigan, Della Croce, Marciello, Riley), and Dipartimento Scienze Biomediche, Università di Sassari, Sassari, Italy (Della Croce)

      1999

      Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Italy

      Harvard Medical School, Department of Physical Medicine and Rehabilitation and Spaulding Rehabilitation Hospital, Boston, MA, USA

      1998

      Spaulding Rehabilitation Hospital, Boston, MA, USA

      Cattedra Tecnologie Biomediche, Università di Sassari, Sassari, Italy

      1996

      Istitutordi Fisiologia Umana, Università degli Studi ‘La Sapienza’, Roma, Italy

      1995

      Istituto di Fisiologia Umana, Università degli Studi ‘La Sapienza’, Roma, Italy

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      Sample of concepts for which Ugo Della Croce is among the top experts in the world.
      Concept World rank
      jerky swing phase #1
      estimation stance #1
      mimubased maxfcl estimates #1
      range imu inclination #1
      maxfcl obstacle passing #1
      stationary remote #1
      gait navicular drop #1
      15 heels #1
      physiological factors mobility #1
      talonavicular mobility gait #1
      shank worn #1
      posture sensitive #1
      attached waist #1
      ankle analyses #1
      rigid artefactual movement #1
      atm motion #1
      16° internal rotation #1
      women barefoot #1
      specific joint biomechanics #1
      human skeletal landmarks #1
      accuracy sfas #1
      database stand #1
      interleg distance measurement #1
      relevant joint kinematics #1
      healthy abnormal gait #1
      hhc level #1
      contralateral strength training #1
      waveforms rms #1
      standard compass model #1
      gait healthy subjects #1
      imu instrumented #1
      stance markerless technique #1
      fog−groups #1
      shank imu #1
      foot distance #1
      Sign-in to see all concepts, it's free!

      Prominent publications by Ugo Della Croce

      KOL-Index: 11387

      OBJECTIVE: To determine if women's dress shoes with heels of just 1.5 in (3.8 cm) in height increases knee joint torques, which are thought to be relevant to the development and/or progression of knee osteoarthritis (OA) in both the medial and patellofemoral compartments.

      DESIGN: Randomized controlled trial.

      SETTING: A 3-dimensional motion analysis gait laboratory.

      PARTICIPANTS: Twenty-nine healthy young women (age, 26.7+/-5.0 y) and 20 healthy elderly adult women (age, 75.3+/-6.5 ...

      Known for Knee Osteoarthritis | Heeled Shoes | Joint Torques | Elderly Women | Early Stance
      KOL-Index: 10509

      BACKGROUND: The step-by-step determination of the spatio-temporal parameters of gait is clinically relevant since it provides an estimation of the variability of specific gait patterns associated with frequent geriatric syndromes. In recent years, several methods, based on the use of magneto-inertial units (MIMUs), have been developed for the step-by-step estimation of the gait temporal parameters. However, most of them were applied to the gait of healthy subjects and/or of a single ...

      Known for Temporal Parameters | Stride Length | Gait Healthy Subjects | Inertial Sensors | Gold Standard
      KOL-Index: 10211

      INTRODUCTION: Gait evaluation protocols using instrumented treadmills will be increasingly used in the near future. For this reason, it must be shown that using instrumented treadmills will produce measures of the ground reaction force adequate for inverse dynamic analysis, and differences between treadmill and overground gait must be well characterized.

      METHODS: Overground walking kinetics were estimated with the subjects walking at their self-selected comfortable walking speed. For the ...

      Known for Treadmill Overground | Gait Parameters | Heel Strike | Kinematic Kinetic | Ground Reaction Force
      KOL-Index: 10164

      OBJECTIVES: It is not known whether changes in the biomechanics of elderly gait are related to aging per se, or to reduced walking speed in this population. The goals of the present study were to identify specific biomechanical changes, independent of speed, that might impair gait performance in healthy older people by identifying age-associated changes in the biomechanics of gait, and to determine which of these changes persist at increased walking speed.

      DESIGN: Stereophotogrammetric ...

      Known for Healthy Elderly | Walking Speed | Biomechanical Gait | Ankle Joint | Outcome Measures
      KOL-Index: 9889

      AIM: In this single blind randomized controlled trial, we examined the effect of a virtual reality-based training on gait of people with multiple sclerosis.

      METHODS: Twenty-five individuals with multiple sclerosis with mild to moderate disability were randomly assigned to either the control group (n = 11) or the experimental group (n = 14). The subjects in the control group received treadmill training. Subjects in the experimental group received virtual reality based treadmill training. ...

      Known for Multiple Sclerosis | Virtual Reality | Treadmill Training | Stride Length | Clinical Measures
      KOL-Index: 9785

      In the last decade, various methods for the estimation of gait events and temporal parameters from the acceleration signals of a single inertial measurement unit (IMU) mounted at waist level have been proposed. Despite the growing interest for such methodologies, a thorough comparative analysis of methods with regards to number of extra and missed events, accuracy and robustness to IMU location is still missing in the literature. The aim of this work was to fill this gap. Five methods ...

      Known for Temporal Parameters | Lower Trunk | Methods Estimation | Single Inertial Sensor | Stance Swing
      KOL-Index: 9520

      When using optoelectronic stereophotogrammetry, skin deformation and displacement causes marker movement with respect to the underlying bone. This movement represents an artifact, which affects the estimation of the skeletal system kinematics, and is regarded as the most critical source of error in human movement analysis. A comprehensive review of the state-of-the-art for assessment, minimization and compensation of the soft tissue artifact (STA) is provided. It has been shown that STA ...

      Known for Human Movement Analysis | Soft Tissue | Skeletal Kinematics | Motion Joints | Artifact Assessment
      KOL-Index: 9353

      STUDY DESIGN: Electromyographic and biomechanical methods were utilized to investigate correlations between indexes of localized muscle fatigue and changes in the kinematics and kinetics of motion during a cyclic lifting task.

      SUMMARY OF BACKGROUND DATA: Recent advances in time-frequency analysis procedures for electromyographicic signal processing provide a new way of studying localized muscle fatigue during dynamic contractions. These methods provide a means to investigate ...

      Known for Muscle Fatigue | Lifting Task | Median Frequency | Low Pain | Weighted Box
      KOL-Index: 9179

      Maintaining adequate levels of physical activity is known to preserve health status and functional independence as individuals grow older. However, the relationship between determinants of physical activity (volume and intensity) and physiological factors underlying mobility (cardio-respiratory fitness, neuromuscular function and functional abilities) is still unclear. The aim of this study was to investigate the association between objectively quantified physical activity and a spectrum ...

      Known for Physical Activity | Mobility Individuals | Aged Muscle | 70 ± | Maximal Voluntary Contraction
      KOL-Index: 8737

      In a variety of applications, inertial sensors are used to estimate spatial parameters by double integrating over time their coordinate acceleration components. In human movement applications, the drift inherent to the accelerometer signals is often reduced by exploiting the cyclical nature of gait and under the hypothesis that the velocity of the sensor is zero at some point in stance. In this study, the validity of the latter hypothesis was investigated by determining the minimum ...

      Known for Stride Length | Level Walking | Foot Gait | Inertial Sensors | Spatial Parameters
      KOL-Index: 8731

      PURPOSE: The purpose of this study was to compare the kinematic and kinetic parameters of treadmill running to those of overground running.

      METHODS: Twenty healthy young subjects ran overground at their self-selected moderate running speed. Motion capture and ground reaction force (GRF) data for three strides of each limb were recorded and the subjects' average running speed was evaluated. The subjects then ran on an instrumented treadmill set to their average overground running speed ...

      Known for Treadmill Running | Grf Data | Knee Kinematics | Joint Angles | Ground Reaction Force
      KOL-Index: 8596

      BACKGROUND: The estimation of the spatio-temporal gait parameters is of primary importance in both physical activity monitoring and clinical contexts. A method for estimating step length bilaterally, during level walking, using a single inertial measurement unit (IMU) attached to the pelvis is proposed. In contrast to previous studies, based either on a simplified representation of the human gait mechanics or on a general linear regressive model, the proposed method estimates the step ...

      Known for Step Length | Inertial Measurement | Level Walking | Single Imu | Gold Standard
      KOL-Index: 8317

      Estimating the effects of different sources of error on joint kinematics is crucial for assessing the reliability of human movement analysis. The goal of the present paper is to review the different approaches dealing with joint kinematics sensitivity to rotation axes and the precision of anatomical landmark determination. Consistent with the previous papers in this series, the review is limited to studies performed with video-based stereophotogrammetric systems. Initially, studies ...

      Known for Joint Kinematics | Human Movement Analysis | Anatomical Landmark | Error Propagation | Rotation Axes
      KOL-Index: 8297

      Gait and cognitive deficits are common in multiple sclerosis (MS) and are negatively affected during dual-task walking. Treadmill (TM) training has been previously used to preserve locomotor activity in MS. Virtual reality (VR) engages the user in cognitive and motor activities simultaneously. A training combining TM and VR has been successfully adopted in several neurological diseases, but not in MS. This study aims at investigating the feasibility of a VR-based TM training program on ...

      Known for Treadmill Training | Multiple Sclerosis | Virtual Reality | Gait Subjects | Neurological Diseases
      KOL-Index: 8034

      The effect of gender on specific joint biomechanics during gait has been largely unexplored. Given the perceived, subjective, and temporal differences in walking between genders, we hypothesized that quantitative analysis would reveal specific gender differences in joint biomechanics as well. Sagittal kinematic (joint motion) and kinetic (joint torque and power) data from the lower limbs during walking were collected and analyzed in 99 young adult subjects (49 females), aged 20 to 40 ...

      Known for Gender Differences | Joint Biomechanics | Kinetic Data | Walking Weight | Initial Contact

      Key People For Human Movement Analysis

      Top KOLs in the world
      #1
      Aurelio Cappozzo
      joint kinematics upper body human movement analysis
      #2
      Alberto Leardini
      gait analysis ankle joint patellar resurfacing
      #3
      Ugo Della Croce
      virtual reality multiple sclerosis gait speed
      #4
      Lorenzo Chiari
      step initiation postural sway inertial sensors
      #5
      Angelo Cappello
      double calibration force platforms gait analysis
      #6
      Andriacchi Andriacchi
      knee osteoarthritis cartilage thickness adduction moment
      Select a search phrase   human movement analysis

      Department of Biomedical Sciences, University of Sassari, Sassari, Italy | Biomedical Engineering Department, Catholic University of America, Washington, DC 20064, USA | Department of Biomedical Sciences, University of Sassari, Sassari, Italy; Interu

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