The Buddy or Virtual Coach project connects senior employees with a coach to help them with their mental well being and works with them through their transition into retirement.
mHealthNX provides an innovative approach to the detection and treatment of stress and other mental health issues through a gamified VR environment and personalized strategies.
Rapid detection technology helps first responders accurately and efficiently triage suspected stroke victims and improve recovery outlook by getting them the care they need more quickly.
Advanced wearable technology combined with machine learning provide secure and easy remote monitoring of patient health after heart procedures.
Machine learning algorithms assist caregivers with the real time analysis of EEG readings for more consistent, rapid and accurate diagnoses.
The EEG-Serv project uses MEDrecord for the completely automated (CE marked) analysis of EEG for epilepsy patients in the Hospital. It changes the current workflow in the treatment of patients with neurological and sleep disorders, and creates a new reimbursement system.
Building on technology that they’re already familiar with, Care@Home delivers medical and social services to the elderly through network enabled TVs.
Patients benefit from a prevention focused healthcare ecosystem that allows them to track and share their health information with their care providers seamlessly.
By leveraging mobile & wearable technology, caregivers can actively monitor their patient’s bio-signal data and react quickly to necessary changes or interventions.
Combining MRI image captures with EEG readings and developing easy accessibility tools to make real time data analysis easier for neuroscientists.