Telemedicine (formerly, Signal Processing for Biomedical Engineering)

Professor
Prof. Gaetano Giunta

(e-mail)

Time schedule
The course classes hold in the first semester with the following schedule:

    • on Wednesday hours 10-12 am, in lesson room N22 (via Vasca Navale 109).
    • on Thursday hours 8-10 am, in lesson room N22 (via Vasca Navale 109).
    • To access the MS Teams platform, student must register on the new moodle platform (click here) and select the specific course. By this registration, students are allowed to connect on Microsoft Teams.

Reception hours

  • Wednesday h 3-4 pm in the office, new Vasca Navale building, Via Vito Volterra 62, 2nd floor, room 2.22 (send an e-mail for confirmation)
  • to contact Prof. Luca Pallotta by email (luca.pallotta@uniroma3.it), room 3.01, new Vasca Navale building, top floor.
  • Online Reception via Skype (send an e-mail to book)
  • Online Reception via MS Teams (send an e-mail to book)

Exam method
Oral test with preliminary written questions.
In addition to standard exams’ schedule, ongoing tests should be provided to attending students.

Available Master theses

  • Automatic texture characterization by MR images.
  • Identification and classification of medical features by CT and MRI.
  • Evaluation of statistical parameters from medical data for clinical decision support.
  • Automatic pathology detection for prognostic purposes.
  • AI-based pathology recognition by machine learning training.

Next exams’ day&time schedule

Teaching programme (6 cfu).

Fundamentals of Telemedicine

Medical Data Networks, Connection to/from Medical Data Center, General Remarks and Communication Items on the most used Radio Link Services (namely, Bluetooth, WiFi, and 5G mobile systems). Medical Data Access Protocols of Shared Systems, Classes of QoS in Telemedicine. Medical Data Communication Security and Integrity, Confidentiality of User Identity and Localization. Mutual authentication between user and network. Localization of Patient and his/her Wearable Radio Devices. Fusion of spatial information from mobile radio links, satellite GPS, and local WiFi access point detection.

Discrete signals, linear systems and digital filters

Operations on discrete sequences. Correlation. Convolution. Z-Transform. Continuous Fourier Transform. Discrete Fourier Transform. Fast Fourier Transform (FFT). Frequency response. Transfer function. Inverse filtering and deconvolution. Design of FIR filters. Multi-rate processing of digital sequences. Scale changes in time and space domains. Expansion. Interpolation. Decimation. Scale change with non integer factors.

Random sequences and spectral analysis.

Statistical moments of random sequences. Mean, auto-correlation and cross-correlation. Spectral moments. Statistical estimators of sequence parameters. Performance of estimators. Design of optimum FIR filters. Optimum inverse filtering. Linear prediction. Prediction error. Spectral analysis by periodogram. Averaged periodogram. Moving Average (MA) models. Auto-Regressive (AR) models. AR estimate of power spectral density.

Teaching material

On line teaching material

Suggested books / papers.