Available technologies, Healthcare, Life Sciences, Medical devices, Medical Hardware, Medical Software


Force control through a unique shape control algorithm

Estimating the contact force in surgery

  • In diagnostic context, cardiac tissue palpation plays a vital role in distinguishing different biologic tissue and identifying anomalies
  • In cardiovascular (CV) interventions, keeping a steady contact between the catheter tip instrument and the cardiac wall is crucial for preserving tissue integrity
  • High contact force would damage the tissue and less force would lead to misdiagnosis and malpractice during minimally invasive surgery (MIS)
  • Limitations of available catheters controlled by force sensors
    • Expensive
    • Lack of flexibility
    • Interference with electromagnetic devices
    • Functionality affected by blood presence
  • Unmet need for force estimation system adapted to MIS and robot-assisted MIS
  • Global market for catheter in CV applications expected to reach USD 16.3 billion by 2023

An innovative sensor-less catheter

  • Innovative device developed at Concordia University
  • System including a catheter capable of controlling and estimating the contact force between the catheter and the cardiac wall
  • A solution that does not rely on the use of any sensor
  • Force control through a unique shape control algorithm
  • Control implement through pulling and releasing of cables attached to the catheter for controlling the position of its tip
  • Ex-vivo validation demonstrating fair agreement between model estimation and reference sensor measurement
Constant force experiment
ablation catheter

A simple an affordable solution

  • Highly flexible and steerable
  • Neutral to interferences
  • Structurally simple
  • Affordable clinical solution
  • Easy tip manufacturing using regular existing catheter in the market
  • Applications in real-time tissue characterization
  • Applications in cardiac RFA (radio-frequency ablation) and cryoablation
  • Future applications in other MIS

Partnering opportunity

  • US Provisional patent application
  • In-licensing opportunity for technology development and commercialization


If you are interested by this technology, please contact :

Duc LeVan, Director Business Development, Engineering
dlevan@aligo.ca,  (514) 840-1226, Ext. 3003


Concordia University

Main inventors

Photo Javad Dargah, Inventor

Dr. Javad Dargahi, Mechanical and Industrial Engineering Professor

Dr. Javad Dargahi is affiliated to Department of Mechanical, Industrial & Aerospace Engineering at Concordia University. He is currently providing services as Professor. Dr. Javad Dargahi has authored and co-authored multiple peer-reviewed scientific papers and presented works at many national and International conferences. His contributions have acclaimed recognition from honorable subject experts around the world. Dr. Javad Dargahi is actively associated with different societies and academies. His academic career is decorated with several reputed awards and funding. His research interests include Airline operations, Transportation management, Systems simulation, Application of Operations Research on service and manufacturing applications.

Photo Amir Hooshiar, Inventor

Amir Hooshiar, Ph.D. student

Amir Hooshiar is a Ph.D. candidate and Public Scholar at Concordia University, Montreal, QC, Canada. He is also a fellow of Surgical Innovation at NSERC CREATE program for Innovation at the Cutting-Edge (ICE), McGill University, Montreal, QC, Canada. Amir was recognized among 2018 Canada Top Researchers, received an FRQNT scholarship, an NSERC Vanier scholarship and the prestigious NSERC Gilles-Brassard Doctoral Prize for Interdisciplinary Research. Amir’s doctoral research is on the provision of haptic feedback for robotic cardiovascular intervention.


Mohammad Jolaei, M.Sc. student

Mohammad Jolaei is a M.Sc. Student of Mechanical Engineering at the Robotic Surgery Lab at Concordia University hosted by Prof. Javad Dargahi since Sep.2017. He received his bachelor’s and master’s degrees in mechanical engineering from Azad University of Arak, Arak-Iran, in 2009 and 2016, respectively. His first master dissertation topic was on vibration analysis of functionally graded beams in magnetic field. His master’s research at the Robotic Surgery Lab, Concordia University was on controlling the shape of soft robots using combined mechanistic models and machine learning techniques.



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