Man

David Jiménez Grande

Postdoctoral Research Fellow

University of Bimingham

Birmingham, Reino Unido

Líneas de Investigación


Machine Learning-based identification of key electromiographic (EMG) and kinematic features for neck pain classification across various tasks

Educación

  •  Biomedical Engineering, UNIVERSITY OF BIRMINGHAM. Reino Unido, 2024
  •  Biomedical Engineering, UNIVERSIDAD POLITECNICA DE MADRID. España, 2017
  •  Industrial Electronic Engineering and Automation, UNIVERSIDAD POLITECNICA DE MADRID. España, 2016

Experiencia Académica

  •   Postdoctoral Research Fellow Full Time

    UNIVERSITY OF BIRMINGHAM

    College of Life and Environmental Sciences

    Birmingham, Reino Unido

    2024 - A la fecha

  •   Research Associate Part Time

    UNIVERSITY OF BIRMINGHAM

    College of Life and Environmental Sciences

    Birmingham, Chile

    2022 - 2023

  •   Research Associate Part Time

    UNIVERSITY OF BIRMINGHAM

    College of Life and Environmental Sciences

    Birmingham, Reino Unido

    2018 - 2019

Experiencia Profesional

  •   Quality Assurance Engineer in R&D Department Full Time

    Valid S.A.

    Madrid, España

    2018 - 2019

Premios y Distinciones

  •   Enterprising Ideas Award Awarding institution

    UNIVERSIDAD COMPLUTENSE DE MADRID

    España, 2016

    Project: T-Chair - An electronic chair that promotes proper posture, alerts users after prolonged sitting, and suggests stretching exercises


 

Article (11)

Explaining trunk strength variation and improvement following resistance training in people with chronic low back pain: clinical and performance-based outcomes analysis
Load and muscle-dependent changes in triceps surae motor unit firing properties in individuals with non-insertional Achilles tendinopathy
Eccentric exercise-induced delayed onset trunk muscle soreness alters high-density surface EMG-torque relationships and lumbar kinematics
Low Back Pain-Induced Dynamic Trunk Muscle Control Impairments Are Associated with Altered Spatial EMG-Torque Relationships
A machine learning approach for the identification of kinematic biomarkers of chronic neck pain during single- and dual-task gait
People with chronic low back pain display spatial alterations in high-density surface EMG-torque oscillations
Kinematic biomarkers of chronic neck pain measured during gait: A data-driven classification approach
Machine learning approaches applied in spinal pain research
Muscle network topology analysis for the classification of chronic neck pain based on EMG biomarkers extracted during walking
Impaired shock attenuation in people with chronic neck pain during curvilinear gait
Trunk coordination in people with low back pain during goal-directed repetitive sagittal trunk movements
7
Eduardo Martínez

Assistant Professor

College of Life and Environmental Sciences

University of Birmingham

Birmingham, Reino Unido

11
David Jiménez

Postdoctoral Research Fellow

Centre of Precision Rehabilitation for Spinal Pain

University of Bimingham

Birmingham, Reino Unido