Our laboratory is equipped with state-of-the-art facilities and cutting-edge technologies to support our research and educational activities in the field of Biomedical Engineering. Our facilities include high end computational resources for signal and image processing, medical imaging, and biosignal analysis among others, so that we support our research and educational activities.

  • CAE Blue Phantom Breast Ultrasound Training Model – Elastography and Biopsy (BP1901)

  • Fitbit Charge 3

  • Fitbit Charge 4

  • Fitbit Sense

  • Flashforge Creator Pro 2

  • Infonovo Glunovo i3

  • Medel MotionStim 8

  • Myoware Muscle Sensor

  • NVIDIA GeForce RTX 2060

  • NVIDIA GeForce RTX 3050

  • NVIDIA GeForce RTX 3060

  • NVIDIA TITAN Xp

  • OpenBCI Ultracortex “Mark IV” EEG Headset

  • Raspberry Pi 3

  • Raspberry Pi 4

  • Samsung Galaxy A20

  • activity trackers
  • balance board
  • smart medical devices (blood pressure, oximeter, smart scale)
  • NVIDIA GPU with 3840 CUDA cores and 12 GB DDR5
  • NAS for cloud and storage

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