Lecture "Sampling methods for physiological signals in Internet of Medical Things systems"

#internet-of-medical-things #methods #sampling-methods #stem #Intelligence #Systems #data
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The Technical University of Sofia and the IEEE Bulgaria Section are happy to welcome Prof. Luca De Vito for a public lecture on "Sampling methods for physiological signals in Internet of Medical Things systems". This will be a hybrid event that interested colleagues can follow on-line. The lecture by Prof. Luca De Vito will take place on 11 February 2026 at 11:00 a.m. in the hall of the Library and Information Center of TU–Sofia.
All IEEE members are welcome. Guests (non-members) will be allowed if there are any available seats.

 


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  • Technical University of Sofia
  • Library and Information Center
  • Sofia, Sofiya
  • Bulgaria 1000
  • Contact Event Hosts

  • Prof. Peter Yakimov, PhD, MEng

    Department of Electronics, Technical University of Sofia, Bulgaria

    1000 Sofia, 8, Kl. Ohridski blvd. 

    tel.: +359 2 965 32 65

  • Co-sponsored by Technical University of Sofia, Bulgaria

  Speakers

Prof. Luca De Vito of University of Sannio, Benevento, Italy

Wearable measurement systems have been currently spreading as personal devices for monitoring physiological parameters. In last years, such systems are going to be integrated in Internet of Things (IoT) systems where several acquisition nodes are simultaneously connected and managed. The acquisition nodes must comply the size and energy consumption requirements of wearable devices, while allowing the streaming of sampled signals such as the Electrocardiogram and the respiration wave and providing enough accuracy to guarantee the biosignal integrity. This is even harder when the device is connected to Wide Area Network IoT systems, characterized by a lower bandwidth and a higher power consumption.

To face these problems, efficient sampling strategies can be adopted aiming to reduce the data rate to be transmitted and as a consequence the energy consumption.

The lecture will present the state of art of sampling methods for physiological signals and will in particular deal with methods based on compressed sensing. Compared with the others, such methods offer a lower computational load on the acquisition node, by moving it to the reception side, which in the case of IoT systems, is usually realized in the cloud. The lecture will also present the activity carried out in this field by the Laboratory of Signal Processing and Measurement Information of the University of Sannio, mainly in the framework of the ATTICUS (Ambient-intelligent Tele-monitoring and Telemetry for Incepting & Catering over Human Sustainability) project.

Biography:

Luca De Vito (M’10 – SM’12, devito@unisannio.it) is Associate Professor of electronic measurement at the University of Sannio, Italy. In Aug. 2018 he received the National Academic Qualification as Full Professor. He is a member of the IEEE TC-10 of the IMS and Chair of the TC-10 working group on Digital to Analog Converters, focusing on the 2023 revision of the IEEE Std. 1658. He is Member-At-Large of the IMS AdCom for the term 2022-2025 and member of the IMEKO Technical Committee 4 (TC-4). His research focuses on measurements for telecommunications, data converter testing and biomedical instrumentation.