There is a dramatic increase in the number of persons worldwide experiencing chronic disease like diabetes,
which affects approximately 350 million people and is projected to become one of the world’s main disablers
and killers within the next 25 years. The impact of chronic diseases is evident: it has been estimated that
over the next 20 years the cost of five of the major chronic illnesses could reach $47 trillion and in 10
years claim almost 400 million lives. The ITEA 2 MoSHCA project was geared to improving patient-doctor
interaction and controlling chronic diseases, developing technological set-ups that significantly improve
the self-management of chronic illnesses, promote communication between the patient and the health provider,
and support health staff in providing better clinical follow-up.
The MoSHCA solution typically involves a number of body and other sensors that communicate wirelessly with a
smartphone, transmitting relevant physiological and activity data such as different cardiac and vascular
information, glucose levels, etc. The intelligent MoSHCA software installed on the mobile terminal receives
this information, along with subjective patient generated data such as pain and mood levels, stiffness,
medication taken, etc. With context-awareness and interoperaility as key features, the technology was tested
in medical environments with real patients and valuable feedback was gained from these patients and their
care providers. The reliability and energy consumption of medical sensors were improved and a better
understanding gained of the balance of the privacy and security needed for healthcare data-mining and data
communications, along with the systematic means to privacy and security assurance.
collaboration between the SME and academic participants enabled the facilitation of access to medical data
and the appropriate adaptation of algorithms, leading to a high degree of user orientation. 7 use cases in
the areas of mobility, general health, hypertension, COPD, baby monitoring and epilepsy, were performed
resulting in tangible products.
Key software technology developed by Evalan within the project is incorporated in SensiStep, a rehabilitation
support application being used in the Netherlands, Belgium and Sweden, whereby people recovering from
certain types of leg or hip fractures have to perform partial weight-bearing exercises. SensiStep provides
dynamic support and shows the actual weight that is exerted on a leg continuously and in real-time. This
means that both the patient and the physiotherapist can monitor whether the rehabilitation is progressing on
track, or if the exercise programme needs to be adjusted accordingly.
CLB Research and Sound Intelligence developed an individually tuneable sound recognition system and
exploited the MoSHCA technology in an Epilepsy App. This is the first (mobile) product that can detect
sounds affiliated with epileptic seizures and is able to alert care providers to on¬going seizures without
using physical sensors attached to the patient’s body with the added benefit of comfort, as no sensors are
attached to the patient.
Actimage developed a unique know-how that allows predictive algorithms to function autonomously on
smartphones. This technology enables the deployment of personalised algorithms on patients' smartphones and
is a relevant advance towards personalised medicine. Actimage exploits MoSHCA results in three applications:
Actelin, a mobile application for diabetics, ActiHomePro, a smartphone application for day-to-day management
for healthcare professionals working in patients’ homes, and Hol’Autisme that offers a first catalogue of
mixed-reality applications to improve the social skills of children with autism.
At the Radboud University Nijmegen, a new system for predicting exacerbations for COPD patients at home was
developed. This app enables self-monitoring of COPD patients, by providing automatic recommendations to
patients and will be marketed by MonitAir.
The University of Girona developed the intelligent algorithms of
Care Me At Home, a mobile app that enables premature babies to be monitored at home via wireless sensors.
Currently, there are 30-35 new-borns under a discharging programme at home per year and it is expected to
increase up to 40-45 in 2019. The reasoning module for premature babies has been developed in collaboration
with the clinical staff of the Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta and is protected
by the Catalan Intellectual Property Office.