Cloud-based biomedical system for remote monitoring of ALS patients
Arrigo Palumbo, Barbara Calabrese, Nicola Ielpo, Andrea Demeco, Antonio Ammendolia, Domenico Corchiola
Abstract
The adoption of telemedicine services during the pandemic for people affected by chronic diseases is crucial to guarantee access of these people to health care services avoiding the risk of COVID-19 infection. This paper illustrates an innovative medical monitoring and teleconsultation cloud-based system for ALS (Amyotrophic Lateral Sclerosis) people. The system consists of two integrated modules. The first module aims to visualize and analyze electromyographic (EMG), electrocardiographic (ECG), and electroencephalographic (EEG) signals. A second module deals with the storage of digital data using a cloud-based web platform.
Topics & Concepts
Cloud computingTelemedicineAmyotrophic lateral sclerosisComputer scienceRemote patient monitoringTelehealthHealth careComputer securityMedicineOperating systemDiseasePathologyRadiologyEconomicsEconomic growthWireless Body Area NetworksContext-Aware Activity Recognition Systems