title: Remote Blood Glucose Monitoring in mHealth Scenarios: A Review.
abstract: Glucose concentration in the blood stream is a critical vital parameter and an effective monitoring of this quantity is crucial for diabetes treatment and intensive care management. Effective bio-sensing technology and advanced signal processing are therefore of unquestioned importance for blood glucose monitoring. Nevertheless, collecting measurements only represents part of the process as another critical task involves delivering the collected measures to the treating specialists and caregivers. These include the clinical staff, the patient's significant other, his/her family members, and many other actors helping with the patient treatment that may be located far away from him/her. In all of these cases, a remote monitoring system, in charge of delivering the relevant information to the right player, becomes an important part of the sensing architecture. In this paper, we review how the remote monitoring architectures have evolved over time, paralleling the progress in the Information and Communication Technologies, and describe our experiences with the design of telemedicine systems for blood glucose monitoring in three medical applications. The paper ends summarizing the lessons learned through the experiences of the authors and discussing the challenges arising from a large-scale integration of sensors and actuators.
authors.affiliation: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy. giordano.lanzola@unipv.it.
authors.forename: Giordano
authors.initials: G
authors.lastname: Lanzola
authors.affiliation: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy. eleonora.losiouk01@ateneopv.it.
authors.forename: Eleonora
authors.initials: E
authors.lastname: Losiouk
authors.affiliation: Department of Information Engineering, University of Padova, 35131 Padova, Italy. sdelfave@dei.unipd.it.
authors.forename: Simone
authors.initials: S
authors.lastname: Del Favero
authors.affiliation: Department of Information Engineering, University of Padova, 35131 Padova, Italy. andrea.facchinetti@dei.unipd.it.
authors.forename: Andrea
authors.initials: A
authors.lastname: Facchinetti
authors.affiliation: Neonatal Intensive Care Unit, Department of Woman and Child's Health, University of Padova, 35131 Padova, Italy. alfonsogalderisi@gmail.com.
authors.forename: Alfonso
authors.initials: A
authors.lastname: Galderisi
authors.affiliation: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy. silvana.quaglini@gmail.com.
authors.forename: Silvana
authors.initials: S
authors.lastname: Quaglini
authors.affiliation: Department of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy. lalo.magni@unipv.it.
authors.forename: Lalo
authors.initials: L
authors.lastname: Magni
authors.affiliation: Department of Information Engineering, University of Padova, 35131 Padova, Italy. claudio.cobelli@unipd.it.
authors.forename: Claudio
authors.initials: C
authors.lastname: Cobelli
mesh_terms: D015374:Biosensing Techniques / Q000379:methods*; D001786:Blood Glucose / Q000032:analysis*; D006801:Humans; D020407:Internet; D008991:Monitoring, Physiologic
chemical_list: D001786:Blood Glucose
keywords: Internet of Things (IoT) in health care; blood glucose sensors; mHealth; remote monitoring