Virtual biosensors for the estimation of medical precursors
- Resource Type
- Conference
- Authors
- Baglio, Salvatore; Cammarata, Alessandro; Cortis, Petramay; Bello, Lucia Lo; Maddio, Pietro Davide; Nicosia, Salvatore; Patti, Gaetano; Sciberras, Stephen; Scicluna, Johann; Scuderi, Vincenzo; Sinatra, Rosario; Trigona, Carlo
- Source
- 2019 IEEE International Symposium on Measurements & Networking (M&N) Measurements & Networking (M&N), 2019 IEEE International Symposium on. :1-4 Jul, 2019
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Biomedical monitoring
Temperature measurement
Physiology
Pressure measurement
Temperature sensors
Biosensors
Virtual biosensors
fuzzy logic
estimation of medical precursors
- Language
- ISSN
- 2639-5061
The objective of this work concerns the study of virtual biosensors for the estimation of medical precursors. The principle is based on the combination of the signals coming from the patient (vital functions), the transduction of such acquired signals and the processing of the obtained information. The method will use n input variables (the classic physiological parameters and/or signals detected by using additive sensors) and one output variable which is correlated with the clinical condition of the patient. A model will produce an association between the input variables and the output variable by using a data set established with the medical team. The proposed methodology improves standard systems such as "track and trigger" and threshold (Early Warning Score) through the adoption of the Fuzzy Set Theory.