Intelligent Bioengineering Technologies

Department Intelligent Bioengineering Technologies

Members

GIAQUINTO MartinoResponsabile
FERRARA ROSANNACollaboratore
RUNDO LeonardoCollaboratore
BOVE SIMONECollaboratore

Mission:

The “Intelligent Bioengineering Technologies” (INBIT) laboratory is dedicated to the research and development of innovative solutions in bioengineering, leveraging artificial intelligence and embedded systems to support the diagnosis, treatment, and rehabilitation of patients. The lab integrates multidisciplinary expertise, ranging from the analysis and processing of biosignals and bioimages to the development of innovative biosensors and smart wearable devices, addressing the challenges of digital medicine.

Activities

The main research areas include:

  • Wearable biomedical devices and embedded systems: development of advanced solutions integrating microcontrollers and sensors for real-time acquisition, processing, and continuous monitoring of biomedical signals, ensuring high efficiency, reliability, and customization in patient care.
  • Advanced biomedical signal and image analysis: design of systems leveraging artificial intelligence techniques for early disease detection and decision support for specialized medical personnel.
  • Intelligent prosthetic and rehabilitative systems: creation of advanced human-machine interfaces utilizing artificial intelligence algorithms to enhance the effectiveness of prosthetic devices and rehabilitative solutions.

Teaching

The laboratory is primarily used by students working on their theses from the Bachelor’s and Master’s degree programs in Computer Engineering for Digital Medicine, focusing on the development of models, applications, and prototypes related to the various research areas conducted by the INBIT group. The lab also provides educational support for the courses “Embedded Systems for E-Health”, “Biomedical Devices and Sensors”, and “Information Technologies for Clinical Monitoring”, enabling the implementation of academic projects centered on the development of embedded systems for biomedical applications.

Equipment

The laboratory is currently equipped with eight PC workstations and basic components for prototyping embedded systems.