An innovative AAL system based on IoT technologies for patients with sarcopenia

Filomena Addante, Federico Gaetani, Luigi Patrono, Daniele Sancarlo, Ilaria Sergi, Giuseppe Vergari

Research output: Contribution to journalArticlepeer-review


Sarcopenia is a highly prevalent, age-related muscle disorder associated with adverse outcomes. It is very important from a medical point of view to periodically monitor patients at risk of developing sarcopenia in order to early detect its onset or progression through objective and specific indicators. Today, the emerging Internet of Things (IoT)-enabling technologies allow us to create innovative, wearable, and non-invasive systems that can offer useful clinical support in this area. This work is focused on the use of combined hardware and software technologies, enabling the IoT, in order to monitor people suffering from sarcopenia by offering a high value-added service in the field of the Ambient Assisted Living (AAL). In addition to the description of the proposed system architecture, a validation of the entire system is also included, from both a performance and a functional point of view. Test beds have been carried out by using the independent replications method, and all measurements related to the identified sarcopenia parameters are characterized by a 95% confidence interval with a 5% maximum relative error. The implementation of these technologies as a supporting clinical tool used in a specific setting could significantly impact the life and independence of the sarcopenic frail elderly population.

Original languageEnglish
Article number4951
JournalSensors (Switzerland)
Issue number22
Publication statusPublished - Nov 2 2019


  • Ambient Assisted Living
  • Cloud
  • Embedded systems
  • Internet of Things
  • Mobile App
  • Performance
  • Sarcopenia
  • Wearable device

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering


Dive into the research topics of 'An innovative AAL system based on IoT technologies for patients with sarcopenia'. Together they form a unique fingerprint.

Cite this