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Research / Sheet T-04 — Program 04

Biomedical & surgical robotics

Computational biomechanics of tissue and implants, and machine learning on physiological signals and medical images.

T4 / 01

Problem statement

Stress in a ligament, a knee implant or a brain under impact is difficult to measure in a living patient, and early signs of sleep disorders, epileptic seizures or Alzheimer’s disease are hard to read in EEG, ECG and brain scans. The program studies both, using finite-element and fluid-structure interaction models of the knee, tricuspid valve, upper airway and head, and machine-learning methods that detect sleep arousals in EEG, predict seizures from heart-rate variability and combine MRI with PET to support Alzheimer’s diagnosis. A smaller strand models how electric fields move and separate cells and particles.

T4 / 02

Scientific challenge

  • Soft tissue is nonlinear and viscoelastic, and valves, airways and brain interact with blood, air or surrounding fluid, which solid-only models omit.

  • Mechanical response depends on anatomy, disease and load case: brain atrophy, an airway tumour or knee flexion angle can change it.

  • Sleep arousals are brief and form a minority class in EEG, and scoring them by hand is slow, costly expert work.

T4 / 03

Approach

  1. Reconstruct tissue and implant geometry from CT, MRI or 3D scanning, then compare linear, hyperelastic and visco-hyperelastic material models.

  2. Couple tissue to blood or air with fluid-structure interaction, and drive local bridging-vein models with loads from global head-impact models.

  3. Classify EEG spectrograms, Poincaré-plot measures of ECG intervals and fused MRI-PET features with convolutional networks, support vector machines or fuzzy cognitive maps.

T4 / 04

Related publications

  • 2026

    A Novel Non-Real-Time Algorithm for Epileptic Seizure Prediction Using Features Extracted from Multiple Time Series Derived from the Two-Dimensional Poincaré Plot of RR Intervals

    Pardis Goodarzi, Keivan Maghooli, Nader Jafarnia Dabanloo, Fardad Farokhi · Iranian Journal of Science and Technology, Transactions of Electrical Engineering · Department of Biomedical Engineering, CT.C., Islamic Azad University, Tehran, Iran · DOI:10.1007/s40998-026-01023-4

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2026

    Biomechanical analysis of RBC separation in a microchannel with an external force

    Mohammad Nikkhoo, Kamran Hassani, Shahrokh Shojaei, Mohsen Aghaeiboorkheili · Journal of Mechanics in Medicine and Biology · Department of Biomedical Engineering, CT.C., Islamic Azad University, Tehran, Iran · DOI:10.1142/S0219519426500053

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    journal Prior affiliation
  • 2025

    A Fuzzy Cognitive Map-based Framework for Alzheimer's Disease Diagnosis Using Multimodal Magnetic Resonance Imaging-Positron Emission Tomography Registration

    Seyed Assef Mahdavi, Keivan Maghooli, Fardad Farokhi · Journal of Medical Signals & Sensors, vol. 15, art. 31 · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.4103/jmss.jmss_3_25

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2025

    An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals

    Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia · Brain Research Bulletin, vol. 230, art. 111468 · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.brainresbull.2025.111468

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2025

    Biomechanical modeling of the tricuspid valve using fluid-structure interaction method

    Ahmad Nooraeen, Parmida Pouryaie, Shahrokh Shojaei, Pedram Tehrani, Kamran Hassani · Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (vol. 239, issue 22) · Department of Biomedical Engineering, CT.C., Islamic Azad University, Tehran, Iran · DOI:10.1177/09544062251372346

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2025

    Comparison of Kinetic and Kinematic Parameters of Walking Between Healthy Individuals and Patients with Heart Disease

    Kamran Salimi, Koorosh Nakhaei, Seyed Farhad Tabatabai Ghomsheh, Pedram Tehrani, Shahrokh Shojaei · Journal of Sport Biomechanics, vol. 11 no. 3, pp. 288-304 · Department of Biomedical Engineering, CT.C., Islamic Azad University, Tehran, Iran · DOI:10.61882/JSportBiomech.11.3.288

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2025

    Segmentation of coronary arteries from X-ray angiographic images using density based spatial clustering of applications with noise (DBSCAN)

    Kamran Mardani, Keivan Maghooli, Fardad Farokhi · Biomedical Signal Processing and Control · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.bspc.2024.107175

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    journal Prior affiliation
  • 2024

    Numerical investigation of knee prosthesis stresses in daily activities: Insight into knee rehabilitation and creation of a new optimal model

    Seyedhamidreza Emadiyanrazavi, Shahrokh Shojaei · Heliyon · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.heliyon.2024.e37657

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2024

    Study of the tumor effect on airflow in human upper airway exhalation using fluid-structure interaction method

    Golbarg Alsadat Motamedi, Shahrokh Shojaei, Kamran Hasani · Journal of Mechanical Science and Technology · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1007/s12206-024-0540-z

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2023

    An investigation of the effect of brain atrophy on brain injury in multiple sclerosis

    Hamed Abdi, Kamran Hassani, Shahrokh Shojaei · Journal of Theoretical Biology · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.jtbi.2022.111339

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2023

    Deep convolutional architecture-based hybrid learning for sleep arousal events detection through single-lead EEG signals

    Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia · Brain and Behavior, vol. 13, no. 6, art. e3028 · Department of Electrical Engineering, Central Tehran Branch Islamic Azad University, Tehran, Iran · DOI:10.1002/brb3.3028

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    journal Prior affiliation
  • 2022

    An investigation of cerebral bridging veins rupture due to head trauma

    Hamed Abdi, Kamran Hassani, Shahrokh Shojaei · Computer Methods in Biomechanics and Biomedical Engineering · Department of Biomedical Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran · DOI:10.1080/10255842.2022.2092728

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2020

    A new emotion detection algorithm using extracted features of the different time-series generated from ST intervals Poincaré map

    Maryam Baghizadeh, Keivan Maghooli, Fardad Farokhi, Nader Jafarnia Dabanloo · Biomedical Signal Processing and Control, art. 101902 · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.bspc.2020.101902

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2020

    A patient-specific finite element analysis of the anterior cruciate ligament under different flexion angles

    Maedeh Safari, Shahrokh Shojaei, Pedram Tehrani, Alireza Karimi · Journal of Back and Musculoskeletal Rehabilitation · Islamic Azad University, Iran · DOI:10.3233/BMR-191505

    DOI ↗ BibTeX

    journal Prior affiliation
  • 2012

    Motion of CNT in Blood and Distilled water under AC electric field at high frequencies

    Reza Khazaei, Alireza Kashaninia, Reza Sabbaghi-Nadooshan · 2012 16th IEEE Mediterranean Electrotechnical Conference (MELECON 2012), Yasmine Hammamet, Tunisia, pp. 1095-1098 · Electrical Engineering Department, Islamic Azad University, Tehran, Iran · DOI:10.1109/MELCON.2012.6196619

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    conference Prior affiliation

All publications

T4 / 05

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